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## BCIT Calibration Driving ### Introduction **Overview:** The Calibration Driving study was intended to provide calibration data for applying fatigue-based driver performance prediction algorithms. Calibration data sets were designed to be the first component of every recording session within the BCIT program, which featured multiple studies investigating fatigue. Collectively, the Calibration Driving recordings comprise a 'virtual' study, in which driving performance at the calibr

Participants

156

Size

124 GB

## BCIT Basic Guard Duty ### Introduction **Overview:** The Basic Guard Duty study was designed to measure sustained vigilance in realistic settings by having subjects verify information on replica ID badges. The task was performed in conjunction with two other tasks a calibration driving task and a baseline driving task. The data collected for the two driving tasks is not included in this dataset. Another study (Advanced Guard Duty), which included a similar set-up but a different experimenta

Participants

21

Size

55.1 GB

## BCIT Baseline Driving ### Introduction **Overview:** The Baseline Driving study was designed to collect extended time-on-task measurements of subjects performing a driving task in a simulated environment in order to assess fatigue-based performance through novel biomarkers. The Baseline Driving study was intended to identify periods of driver fatigue via predictive algorithms formulated from the analysis of driver EEG data, in comparison to the objective performance measures, and in

Participants

109

Size

302 GB

## BCIT Speed Control ### Introduction **Overview:** The Speed Control study was designed to collect extended time-on-task measurements of subjects performing a driving task in a simulated environment in order to assess fatigue-based performance through novel biomarkers. Similar to the Baseline Driving study, the Speed Control study was intended to identify periods of driver fatigue via predictive algorithms formulated from the analysis of driver EEG data, in comparison to the objectiv

Participants

32

Size

36.2 GB

## BCIT Traffic Complexity ### Introduction **Overview:** The Traffic Complexity study was designed to collect extended time-on-task measurements of subjects performing a driving task in a simulated environment in order to assess fatigue-based performance through novel biomarkers. Similar to the Baseline Driving study, the Speed Control study was intended to identify periods of driver fatigue via predictive algorithms formulated from the analysis of driver EEG data, in comparison to th

Participants

29

Size

17.5 GB

## BCIT Mind Wandering ### Introduction **Overview:** Subjects in the Mind Wandering study performed a long-duration simulated driving task with perturbations and audio stimuli in a visually complex environment. The purpose of this effort was to supplement and extend the related driving research to collect prolonged time-on-task measurements of subjects performing a driving task in a simulated environment in order to assess fatigue-based performance through novel biomarkers. Similar to

Participants

21

Size

23.9 GB

### DESCRIPTION Magnetoencephalography (MEG) dataset recorded during the presentation of audiovisual sequences with a causality judgment task and temporal order judgment task. This MEG dataset was prepared in the Brain Imaging Data Structure (MEG-BIDS, Niso et al. 2018) format using MNE-BIDS (Appelhoff et al. 2019). ### PUBLISHED IN Pesnot Lerousseau, J., Parise, C., Ernst, MO., van Wassenhove, V. (2022). Multisensory correlation computations in the human brain identified by a time-resolved enc

Participants

13

Size

75.7 GB

### Introduction **Overview:** The Advanced Guard Duty study was designed to measure sustained vigilance in realistic settings by having subjects verify information on replica ID badges. The task was performed in conjunction with two other tasks a calibration driving task and a baseline driving task. The data collected for the two driving tasks is not included in this dataset. Another study (Basic Guard Duty) not included in this collection had a similar set-up but a different experimental desi

Participants

27

Size

67.6 GB

This data was part of the study of: M.P. Weisend, F.M. Hanlon, R. Montaño, S.P. Ahlfors, A.C. Leuthold, D. Pantazis, J.C. Mosher, A.P. Georgopoulos, M.S. Hämäläinen, C.J. Aine,, V. (2007). Paving the way for cross-site pooling of magnetoencephalography (MEG) data. International Congress Series, Volume 1300, Pages 615-618,. It was converted to BIDS with MNE-BIDS: Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger,

Participants

8

Size

77.2 GB

The electrode and synchronized walking study: Participants performed 3 tasks outside: eyes open/eyes close, standing, walking alone & walking with experimenter oddball task, and 3 walking with experimenter tasks Only part of the second task (standing and walking oddball) was used for the first paper. Each of 18 participants performed the task using both active (session 1) and passive (session 2) electrodes, in counterbalanced order Task 1: Eyes open / Eyes closed; 1. Participant stands facing a

Participants

18

Size

19.8 GB