Discover datasets

The Bitbrain Open Access Sleep (BOAS) dataset comprises 128 nights of simultaneous polysomnography (PSG) and wearable EEG headband recordings from 108 unique participants, designed to validate wearable EEG technology against clinical PSG for sleep monitoring. The dataset includes human-consensus sleep stage labels derived from expert scoring of PSG recordings, as well as AI-generated sleep stage labels for both PSG and wearable EEG data using a deep learning model. Additional demographic metadata (age, sex, BMI) are provided for each participant, offering a comprehensive resource for sleep staging research and wearable EEG validation.

Participants

128

Channels

2

Citations

7

Size

33.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.

Participants

10

Channels

63 (10-10)

Citations

82

Size

198 GB

Version

v1.1.0

Updated

Jul 10, 2026

Participants

36

Channels

20 (10-20)

Citations

88

Size

174 MB

Version

v1.0.0

Updated

Jul 10, 2026

The Brain, Body, and Behaviour Dataset (Experiment 4) is a multimodal neurophysiological dataset comprising simultaneous recordings of EEG, eye-tracking, cardiac, respiratory, and electrooculographic signals from 43 subjects across two sessions. Participants watched three educational videos (Stim-04, Stim-05, Stim-06) under two attention conditions. In Session 1 (attentive condition), participants viewed the videos and answered comprehension questions afterward. In Session 2 (distracted condition), participants viewed the same three videos in the same order while performing a concurrent backward counting task, with no comprehension testing. This derivative dataset supports investigation of neural and behavioral correlates of attention, learning, and cognitive load during naturalistic video viewing.

Citations

4

Size

5.12 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises pooled electrooculography (EOG) data from 41 participants across two studies investigating the relationship between eye blinks and attention during a competing speaker paradigm. Participants performed selective auditory attention tasks while listening to competing audiobooks, with experimental conditions varying between studies regarding sound presentation (omnidirectional versus beamforming). The dataset integrates EOG recordings from Jaeger et al. (2020) and Holtze et al. (2021) to enable comparative analysis of oculomotor behavior during dichotic listening tasks.

Participants

41

Channels

7 (egi-geodesic)

Citations

2

Size

8.01 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalography (EEG) recordings from a study investigating how expectation modulates repetition suppression of neural responses to nociceptive (pain-related) stimuli. It provides raw EEG data organized in BIDS format, intended to support analyses of expectation effects on cortical processing of repeated nociceptive stimulation.

Participants

36

Channels

32 (10-10)

Size

42.7 GB

Version

v1.0.0

Updated

Aug 19, 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

v1.0.0

Updated

Jul 10, 2026

This dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.

Participants

25

Channels

35 (10-10)

Citations

2

Size

97.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from 20 Indian participants listening to 12 songs spanning diverse genres, from Indian Classical to Goth Rock. Participants rated their familiarity and enjoyment of each song on a 5-point scale following passive listening. The dataset provides neurophysiological measures of music perception and aesthetic response across genre diversity.

Participants

20

Channels

129 (egi-geodesic)

Citations

3

Size

10.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises concurrent EEG and EMG recordings collected during a visual perception task examining symmetry detection and affective responses. Participants viewed visual patterns and made judgments about pattern regularity following stimulus offset, providing insights into the neural and physiological correlates of symmetry perception.

Participants

24

Channels

64 (other)

Citations

91

Size

2.69 GB

Version

v1.0.0

Updated

Jul 10, 2026