Discover datasets

EEG recordings from 10 healthy participants performing an online P300 row-column speller task with a 6x6 character matrix. The study compared two stimulus types, Famous Faces and Inverting, in combination with language models for online classification. Data were recorded from 32 channels at 256 Hz across two sessions per subject with three runs each, and are annotated with HED tags.

Participants

10

Channels

32 (10-10)

Citations

28

HED

v8.4.0

Size

773 MB

Version

v1.0.5

Updated

Oct 8, 2026

This dataset contains raw EEG recordings, in BrainVision format and organized according to BIDS, from participants silently reading word-by-word naturalistic narratives. It accompanies a study of auditory representations of words evoked during silent visual reading. Derivatives include preprocessed word-level EEG epochs, story and run metadata, expected/unexpected epoch labels, and corresponding feature embeddings.

Participants

10

Channels

63 (10-10)

Size

35.3 GB

Version

v1.0.0

Updated

Jun 29, 2026

SMN4Lang is a synchronized multimodal neuroimaging dataset for studying brain language processing. It contains fMRI and MEG recordings from the same 12 participants listening to about 6 hours of naturalistic Mandarin Chinese stories. It also includes structural T1/T2, diffusion MRI, resting-state fMRI, and linguistic annotations of the stimuli such as word frequencies, part-of-speech tags, syntactic trees, time-aligned characters and words, and word embeddings.

Participants

12

Citations

4

Size

1.36 TB

Version

v1.0.0

Updated

Jun 23, 2026

An intracranial EEG (iEEG) dataset recorded from ten epilepsy patients undergoing invasive monitoring for seizure localization. Participants played five sessions of Speed Match, a visuomotor game on the Lumosity platform, during interictal recording. Continuous iEEG recordings are provided in EDF format with channel information and event markers for finger tapping.

Participants

8

Size

818 MB

Version

v1.0.0

Updated

Jun 28, 2026

Eye-tracking data from 27 participants who watched five educational videos in two sessions: an attentive condition, in which participants were tested afterward with multiple-choice questions, and a distracted condition, in which they silently counted backwards. The dataset includes gaze, pupil size, blinks, saccades and fixations, plus questionnaires with domain and memory questions. It is Experiment 1 of the Brain, Body, and Behavior Dataset (BBBD) and supports research on attention and learning from video.

Participants

27

Size

881 MB

Version

v1.0.0

Updated

Jun 17, 2026

This EEG dataset investigates how personalized smartphone notification sounds bias auditory salience across successive stages of sensory and cognitive processing. Participants completed an auditory oddball experiment, allowing comparison of neural responses to personally relevant notification sounds against other auditory stimuli.

Participants

57

Channels

64 (10-10)

Size

42.5 GB

Version

v1.0.0

Updated

Jun 30, 2026

A multimodal dataset of simultaneous 64-channel EEG, head-mounted eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adults. Participants took part in a naturalistic smartphone use condition and a standardized video viewing condition. Hardware TTL pulses synchronize the EEG and eye-tracking streams for temporal alignment across modalities.

Participants

23

Channels

64 (10-10)

Size

6.12 GB

Version

v1.0.0

Updated

Jun 30, 2026

EEG recordings from 25 participants performing a two-competing-speaker selective attention task, in which they attended to either the left or right audio book. The participant's own name was embedded 10 times per block in the to-be-ignored stream, allowing study of attention capture and neural tracking of attended and ignored speech. Blocks alternated between an omnidirectional condition (equal loudness) and a beamforming condition (attended stream louder).

Participants

25

Channels

47 (egi-geodesic)

Citations

38

Size

13.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.

Participants

19

Citations

80

HED

v8.1.0

Size

106 GB

Version

v1.0.0

Updated

Mar 9, 2026

The "Podcast" electrocorticography (ECoG) dataset captures intracranial neural activity from 9 participants (1,330 grid, depth, and strip electrodes) who listened to a 30-minute naturalistic story containing over 5,000 words. It includes raw recordings, a minimally preprocessed high-gamma version, the auditory stimuli, an aligned word-level transcript, and linguistic features ranging from acoustic properties to large language model embeddings. Tutorials replicating prior findings are provided to support research on natural language comprehension.

Participants

9

Size

14.4 GB

Version

v1.0.0

Updated

Jun 27, 2026