Discover datasets

A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.

Participants

10

Channels

124 (egi-geodesic)

Citations

93

HED

v8.4.0

Size

3.40 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset comprises intracranial EEG (iEEG) recordings from 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing 41 instances of high-frequency cortical stimulation that evoked negative motor responses. Each recording includes pre- and post-stimulation epochs used for connectivity analysis, along with detailed stimulation parameters. The dataset supports research into the cortical networks underlying negative motor phenomena elicited by direct electrical stimulation.

Participants

21

Citations

1

Size

1.04 GB

Version

v1.0.0

Updated

Aug 19, 2026

MorseEEG-ATP is a multitask EEG dataset for investigating auditory temporal processing and temporal pattern discrimination using Morse code stimuli. It contains synchronously recorded EEG and behavioral data from 32 healthy adults performing two auditory discrimination tasks (dot-count and first-last match) across three presentation-rate conditions (15, 30, and 40 characters per minute). The dataset, organized in BIDS format, includes raw and minimally preprocessed EEG data, trial-aligned event annotations, behavioral measures, and analysis scripts to support research on temporal pattern discrimination and listening ability assessment.

Participants

32

Channels

62 (10-10)

Size

14.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

A comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked potential (SSVEP) across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that while MI showed the highest illiteracy rate (53.7%), all participants could control at least one BCI paradigm. Data were acquired at 1000 Hz using 62 EEG channels with concurrent electromyography recordings.

Participants

54

Channels

62 (10-05)

Citations

99

HED

v8.4.0

Size

121 GB

Version

v1.0.5

Updated

Aug 18, 2026

Imported from OpenNeuro ds004362

Participants

109

Channels

64 (10-10)

Citations

99

HED

v8.1.0

Size

11.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains whole-brain EEG recordings from participants experiencing tactile stimulation and viewing videos of touch to investigate overlapping neural representations between firsthand and vicarious touch. Using time-resolved multivariate pattern analysis, the study examines whether observed touch evokes similar neural patterns as direct tactile experience. The dataset includes 64-channel EEG data collected at 2048 Hz from 12 experimental runs comprising 1728 trials across tactile and visual conditions.

Participants

40

Channels

64

Citations

11

Size

172 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings collected during three near-threshold visual detection tasks: a no-cue task, a noninformative cue task (50% validity), and an informative cue task (100% validity). The study investigates how attentional cueing and prestimulus neural activity, particularly alpha-band oscillations, influence the perception of near-threshold visual stimuli. Data were collected to examine the interplay between attention and perceptual awareness in a visual detection paradigm.

Participants

36

Channels

128 (10-05)

Citations

8

Size

67.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 47 neurotypical children and adolescents (ages 5-18) collected during a two-stage steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) session, comprising a stimulus personalization pipeline and an online 4-target SSVEP game. Data were recorded with a 16-channel g.tec g.GAMMAsys gel-based EEG system at 256 Hz. The dataset was released by the BCI4Kids program to support the development of signal-processing methods tailored to pediatric SSVEP-BCI applications, and was converted to BIDS format from an original raw XDF Zenodo release.

Participants

47

Size

2.41 GB

Updated

Aug 23, 2026

This dataset comprises simultaneous EEG and fMRI recordings from 3 participants performing an inner speech task across 2 sessions each. Participants covertly produced 8 words presented in randomized order, each repeated 40 times, while EEG (64-channel, 5000 Hz) and fMRI (TR=2s) data were acquired concurrently. The dataset is intended to support research into the neural correlates of inner speech using multimodal neuroimaging.

Participants

3

Channels

64

Citations

1

Size

15.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

A preprocessed EEG dataset comprising motor imagery recordings from 14 healthy participants performing imagined right-hand tapping, left-hand tapping, and rest tasks. The dataset contains 1,665 trials acquired at 1024 Hz using a 19-channel montage with standard 10-20 electrode placement. Data have been preprocessed with ICA artifact removal and frequency filtering, and include annotations for motor imagery classification and brain-computer interface applications.

Participants

14

Channels

19 (10-20)

Citations

9

HED

v8.4.0

Size

1.23 GB

Version

v1.0.2

Updated

Aug 18, 2026