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The EEG Moments Dataset (EMD) provides EEG responses from 6 human subjects to 1,102 naturalistic 3-second videos with audio, serving as the EEG companion to the BOLD Moments Dataset (BMD) fMRI dataset. Each subject viewed a 1,000-video training set 6 times and a 102-video testing set 24 times, with concurrent eye-tracking (gaze and pupil size) recorded during central fixation. Videos are annotated with object, scene, and action labels, textual descriptions, spoken transcriptions, and memorability scores, enabling multimodal analyses of visual and auditory naturalistic event processing.

Participants

6

Size

210 GB

Version

v1.0.0

Updated

Sep 8, 2026

…these neural mechanisms of object recognition across these rich and daily natural…

Participants

19

Channels

62 (10-10)

Citations

7

Size

24.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.

Participants

23

Channels

64 (10-10)

Citations

1

Size

6.12 GB

Version

v1.0.0

Updated

Aug 18, 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

…new techniques for inner speech recognition. A ten-subjects dataset acquired under…

Participants

10

Citations

73

Size

24.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002312-blue…

Participants

19

Size

35.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults performing a sustained attention task (GradCPT) and a resting-state task with intermittent multi-dimensional experience sampling, collected across two sessions per participant. It includes behavioral responses, experience sampling ratings across 13 dimensions of thought, and mental health survey data, enabling study of the neural correlates of attentional fluctuations, mind-wandering, and the reliability of EEG-fMRI relationships across sessions.

Participants

24

Channels

31 (10-10)

Citations

1

Size

115 GB

Version

v1.0.0

Updated

Aug 18, 2026

The Brain, Body, and Behaviour Dataset (Experiment 1) is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.

Size

880 MB

Version

v1.0.0

Updated

Jul 10, 2026

…A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral…

Participants

215

Channels

61 (10-10)

Citations

74

Size

127 GB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

15

Channels

64 (10-10)

Size

585 MB

Version

v1.0.0

Updated

Jul 10, 2026