Discover datasets

The BCIT Basic Guard Duty dataset comprises EEG, eye-tracking, and behavioral data collected during a sustained vigilance task in which participants verified replica identification cards against reference images. Subjects performed ten 5-minute blocks of the guard duty task with varying ID presentation rates (1-25 per minute) while seated in a driving simulator. This dataset provides multimodal neurophysiological and performance measures of cognitive fatigue and attention during a realistic security screening task.

Participants

21

Channels

256 (biosemi)

HED

v8.0.0

Size

55.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The BCIT Calibration Driving dataset comprises electroencephalography (EEG) recordings collected during a standardized 15-minute driving simulator task designed to establish baseline, non-fatigued performance metrics. Participants controlled vehicle steering on a simulated straight road while responding to lateral perturbations, with data collected across three sites: Army Research Laboratory (Aberdeen, MD), Teledyne Corporation (Durham, NC), and Science Applications International Corporation (Louisville, CO), using 64- or 256-channel Biosemi EEG systems. This calibration dataset serves as the foundational component for fatigue-related driver performance prediction algorithms within the broader BCIT neuroimaging program.

Participants

156

Channels

64 (10-10)

HED

v8.0.0

Size

124 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises scalp EEG recordings from 23 healthy young adults performing a modified Sternberg working memory task. Participants selectively memorized sequences of letters while ignoring distractors, maintained them during a delay period, and responded to probe letters via button press. The study investigates source-resolved EEG brain dynamics underlying working memory encoding, maintenance, and retrieval processes, with auditory feedback provided for response accuracy.

Participants

23

Channels

69 (10-10)

HED

v8.0.0

Size

5.80 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The Advanced Guard Duty dataset comprises EEG, eye tracking, and behavioral data collected during a sustained vigilance task involving verification of replica identification cards. Subjects performed a 50-minute guard duty task organized into ten 5-minute blocks with varying ID presentation rates (1-25 per minute) and verification criteria. This dataset provides neurophysiological and performance measures of cognitive workload and fatigue in a realistic security screening scenario.

Participants

27

Channels

256 (biosemi)

HED

v8.0.0

Size

67.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The BCIT Auditory Cueing dataset comprises EEG, eye-tracking, and vehicle performance data collected during a prolonged simulated driving task designed to assess driver fatigue and cognitive state. Subjects performed two 45-minute driving conditions with either random or predictive auditory cues preceding lateral vehicle perturbations, while continuous measurements of steering behavior, reaction times, and subjective fatigue scales were recorded. This dataset extends prior driving research by examining the relationship between neural biomarkers and fatigue-related performance decrements in a controlled, high-frequency perturbation environment.

Participants

17

Channels

64 (10-10)

HED

v8.0.0

Size

20.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

EEG dataset containing recordings from participants engaged in natural conversation. The dataset includes raw EEG data collected during spontaneous speech interactions, designed to investigate neural correlates of communication and language processing. Data were acquired using standard EEG recording protocols and include multiple channels of continuous EEG activity synchronized with behavioral and linguistic annotations.

Participants

29

Size

7.39 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises human electroencephalography (EEG) recordings from 80 participants engaged in a moral decision-making task. Participants evaluated their attitudes toward sociopolitical issues, then viewed protest photographs with varying levels of indicated social support, followed by judgments of support for the protesters. The study investigates how moral conviction and metacognitive ability influence information processing across multiple cognitive stages.

Participants

80

Size

101 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises human electroencephalography recordings from 20 participants performing a visual attention task involving rapid sequences of overlaid oriented gratings. Participants detected target gratings while manipulating both attention (cued by color) and temporal expectation (predictable vs. unpredictable stimulus onset timing). The study dissociates feature-based attention effects from temporal expectation and target-related decision processes, providing insights into the temporal dynamics of selective attention.

Participants

20

Size

30.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This EEG dataset comprises recordings from 13 screened participants across two sessions, featuring alternating 5-minute blocks of trance channeling and resting state conditions. The study design includes three periods per session for each condition, providing a structured investigation of neural activity during trance channeling states compared to baseline resting conditions.

Participants

13

Channels

64 (10-10)

Size

11.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises mobile EEG recordings from 18 participants performing three experimental tasks in outdoor settings: eyes open/closed standing, an oddball task during standing and walking conditions, and synchronized walking with an experimenter. Participants completed sessions using both active and passive electrode configurations in counterbalanced order. The study investigates neural correlates of postural control, auditory attention, and interpersonal motor synchronization in naturalistic environments.

Participants

18

Channels

64 (10-05)

Size

19.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026