cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9273110
title: Characterization of the motion of booster-seated children during simulated in-vehicle precrash maneuvers

description: <b>Objective:</b> Precrash occupant motion may affect head and trunk position and restraint performance in a subsequent crash, particularly for young children. Others have studied seat belt–restrained adult drivers and adult and adolescent passengers in precrash maneuvers. For younger children, optimal restraint includes a belt-positioning booster seat, which in precrash maneuvers may contribute in unique ways to the overall body motion. Therefore, the objective of this study was to quantify booster-seated child occupant kinematic, kinetic, and muscle responses during precrash maneuvers and characterize booster movement with respect to the overall occupant kinematics. <b>Methods:</b> Vehicle maneuver tests were conducted with a recent model year sedan at the Transportation Research Center Inc. (TRC, Marysville, Ohio). Three precrash vehicle maneuvers were simulated: Automated and manual emergency braking (AEB and MEB) and oscillatory swerving or slalom (SLA). Each maneuver was repeated twice for each participant. Seven 6- to 8-year-old booster-seated children participated in the study and all subjects were seated in the right rear seat. Vehicle dynamics (i.e., motion, position, and orientation) were measured with an inertial and Global Positioning System navigation system (Oxford RT 3003). Kinematic data from human volunteers were collected with an 8-camera 3D motion capture system (Optitrack Prime 13 200 Hz, NaturalPoint, Inc.). Photoreflective markers were placed on participants’ head and trunk. Electromyography (EMG; Trigno EMG Wireless Delsys, Inc., 2,000 Hz) sensors were placed on bilateral muscles predicted to be most likely involved in bracing behaviors. <b>Results:</b> Children demonstrated greater head and trunk velocity in MEB (head 123.7 ± 13.1 cm/s, trunk 77.6 ± 14.1 cm/s) compared to AEB (head 45.31 ± 11.5 cm/s, trunk 27.1 ± 5.5 cm/s; <i>P</i> P <b>Conclusions:</b> The quantification of booster seat motion and neuromuscular control and the relationship between kinematics and muscle activation in booster-seated children in precrash maneuvers provides important data on the transition between the precrash and crash phases for this young age group and may help identify opportunities for interventions that integrate active and passive safety.
DOI: 10.6084/m9.figshare.9273104
title: GP31_B78.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273107.v1
title: German bike messengers’ experiences and expressions of cycling anger

description: <b>Objective:</b> The present study has 3 objectives: First, we wanted to examine whether the Cycling Anger Scale (CAS) applies to German professional bike messengers, because this scale was previously developed with nonprofessional cyclists in Germany. Second, we wanted to look at possible differences in cycling anger experience and expression between professional German bike messengers and nonprofessional German cyclists. Third, we explored whether cycling anger is somehow related to driving anger and general anger. <b>Methods:</b> We applied German versions of the CAS, the Driving Anger Scale (DAS), and the State–Trait Anger Expression Inventory (STAXI) to a sample of 123 professional German bike messengers. Then we compared their ratings with the results of 421 nonprofessional German cyclists. <b>Results:</b> Regarding our first objective, results indicate that the CAS model fit is better for nonprofessional than for professional cyclists. However, the CAS in a slightly modified version can be used for professional cyclists as well. As for our second objective, we show that professional cyclists experience significantly less cycling anger than nonprofessional cyclists. However, bike messengers report more frequent aggressive cycling behaviors when angry, indicating a weaker link between trait anger while cycling and aggressive behavior among professionals. Thirdly, we found relations between cycling anger, driving anger, and general anger. <b>Conclusions:</b> We conclude that the CAS in its slightly modified 13-item version with the established 4 subscales produces an acceptable model fit and can be applied to professional German bike messengers for further research purposes or applied issues; for example, traffic education or self-awareness in terms of accident prevention behaviors. In addition, for professional cyclists, less anger does not result in less aggressive cycling behaviors. Subsequent research should explore the role of anger in behavioral regulation of cyclists’ unsafe cycling behaviors taking different levels of experience and professionalism into account in order to reduce adverse effects of anger on traffic safety.
DOI: 10.6084/m9.figshare.9273176.v1
title: GP31_B83.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273101
title: GP31_B71.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273104.v1
title: GP31_B78.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273095
title: GP31_B67.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273098
title: GP31_B69.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273110.v2
title: Characterization of the motion of booster-seated children during simulated in-vehicle precrash maneuvers

description: <b>Objective:</b> Precrash occupant motion may affect head and trunk position and restraint performance in a subsequent crash, particularly for young children. Others have studied seat belt–restrained adult drivers and adult and adolescent passengers in precrash maneuvers. For younger children, optimal restraint includes a belt-positioning booster seat, which in precrash maneuvers may contribute in unique ways to the overall body motion. Therefore, the objective of this study was to quantify booster-seated child occupant kinematic, kinetic, and muscle responses during precrash maneuvers and characterize booster movement with respect to the overall occupant kinematics. <b>Methods:</b> Vehicle maneuver tests were conducted with a recent model year sedan at the Transportation Research Center Inc. (TRC, Marysville, Ohio). Three precrash vehicle maneuvers were simulated: Automated and manual emergency braking (AEB and MEB) and oscillatory swerving or slalom (SLA). Each maneuver was repeated twice for each participant. Seven 6- to 8-year-old booster-seated children participated in the study and all subjects were seated in the right rear seat. Vehicle dynamics (i.e., motion, position, and orientation) were measured with an inertial and Global Positioning System navigation system (Oxford RT 3003). Kinematic data from human volunteers were collected with an 8-camera 3D motion capture system (Optitrack Prime 13 200 Hz, NaturalPoint, Inc.). Photoreflective markers were placed on participants’ head and trunk. Electromyography (EMG; Trigno EMG Wireless Delsys, Inc., 2,000 Hz) sensors were placed on bilateral muscles predicted to be most likely involved in bracing behaviors. <b>Results:</b> Children demonstrated greater head and trunk velocity in MEB (head 123.7 ± 13.1 cm/s, trunk 77.6 ± 14.1 cm/s) compared to AEB (head 45.31 ± 11.5 cm/s, trunk 27.1 ± 5.5 cm/s; <i>P</i> P <b>Conclusions:</b> The quantification of booster seat motion and neuromuscular control and the relationship between kinematics and muscle activation in booster-seated children in precrash maneuvers provides important data on the transition between the precrash and crash phases for this young age group and may help identify opportunities for interventions that integrate active and passive safety.
DOI: 10.6084/m9.figshare.9273098.v1
title: GP31_B69.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273110.v1
title: Characterization of the motion of booster-seated children during simulated in-vehicle precrash maneuvers

description: <b>Objective:</b> Precrash occupant motion may affect head and trunk position and restraint performance in a subsequent crash, particularly for young children. Others have studied seat belt–restrained adult drivers and adult and adolescent passengers in precrash maneuvers. For younger children, optimal restraint includes a belt-positioning booster seat, which in precrash maneuvers may contribute in unique ways to the overall body motion. Therefore, the objective of this study was to quantify booster-seated child occupant kinematic, kinetic, and muscle responses during precrash maneuvers and characterize booster movement with respect to the overall occupant kinematics. <b>Methods:</b> Vehicle maneuver tests were conducted with a recent model year sedan at the Transportation Research Center Inc. (TRC, Marysville, Ohio). Three precrash vehicle maneuvers were simulated: Automated and manual emergency braking (AEB and MEB) and oscillatory swerving or slalom (SLA). Each maneuver was repeated twice for each participant. Seven 6- to 8-year-old booster-seated children participated in the study and all subjects were seated in the right rear seat. Vehicle dynamics (i.e., motion, position, and orientation) were measured with an inertial and Global Positioning System navigation system (Oxford RT 3003). Kinematic data from human volunteers were collected with an 8-camera 3D motion capture system (Optitrack Prime 13 200 Hz, NaturalPoint, Inc.). Photoreflective markers were placed on participants’ head and trunk. Electromyography (EMG; Trigno EMG Wireless Delsys, Inc., 2,000 Hz) sensors were placed on bilateral muscles predicted to be most likely involved in bracing behaviors. <b>Results:</b> Children demonstrated greater head and trunk velocity in MEB (head 123.7 ± 13.1 cm/s, trunk 77.6 ± 14.1 cm/s) compared to AEB (head 45.31 ± 11.5 cm/s, trunk 27.1 ± 5.5 cm/s; <i>P</i> P <b>Conclusions:</b> The quantification of booster seat motion and neuromuscular control and the relationship between kinematics and muscle activation in booster-seated children in precrash maneuvers provides important data on the transition between the precrash and crash phases for this young age group and may help identify opportunities for interventions that integrate active and passive safety.
DOI: 10.6084/m9.figshare.9273095.v1
title: GP31_B67.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273065
title: GP31_B65.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273050
title: GP31_B21.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273053
title: GP31_B63.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273047
title: GP31_B9.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.9273065.v1
title: GP31_B65.nwb

description: The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter.<br>Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.