Discover datasets

An open-access EEG dataset of a motor imagery brain-computer interface experiment conducted under distraction. Sixteen healthy participants performed left- versus right-hand motor imagery, first in a calibration run and then in feedback runs under six conditions: no distraction, eyes closed, news listening, number search, flickering video, and vibro-tactile stimulation. Recordings comprise 63 EEG channels at 1000 Hz and 504 trials per subject.

Participants

16

Channels

63 (10-05)

Citations

13

HED

v8.4.0

Size

72.1 GB

Version

v1.0.7

Updated

Aug 18, 2026

Alljoined-1.6M is a large-scale EEG dataset of neural responses to rapid serial visual presentation of natural images from the THINGS database. It was recorded with a consumer-grade 32-channel EMOTIV FLEX2 system in 20 adult participants over four sessions each, yielding more than 1.6 million trials. The dataset was built to test whether deep-learning-based brain-computer interface and semantic decoding research can be done with affordable EEG hardware.

Participants

20

Channels

32 (10-10)

Size

8.78 GB

Version

v1.0.3

Updated

Sep 23, 2026

Continuous 64-channel scalp EEG from 12 observers performing a visual dimension-based attention (cue) task, originally reported by Gramann, Töllner and Müller (2010). The recordings, 56-66 minutes each, include ICA decomposition weights and expert-annotated independent component labels. The dataset was later used to study automatic multi-class labeling of ICA components and is known as the "Cue" dataset.

Participants

12

Channels

64 (10-10)

Citations

32

Size

5.63 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains independent 3-second single-channel intracranial EEG (stereo-EEG) clips from St. Anne's University Hospital (FNUSA), annotated for classification of physiological and pathological graphoelements and artifactual signals. It is a BIDS conversion of the segmented .mat archives released with Nejedly et al. 2020. Clips from one subject and one SEEG contact are concatenated per run at 5000 Hz, with events preserving labels, anatomy, reviewer, seizure onset zone flag, and electrode type.

Participants

14

Size

10.8 GB

Version

v1.0.2

Updated

Jun 29, 2026

A raw multimodal dataset from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. It includes EEG, fNIRS, ECG, EMG, Biodex torque/kinematics, push-button responses, and subjective ratings of sleepiness and cognitive load. The data are organized in BIDS and are unprocessed exports from the acquisition systems.

Participants

30

Channels

32 (10-10)

Size

4.21 GB

Version

v1.0.0

Updated

Jun 30, 2026

EEG recordings from four participants performing motor imagery of the left hand, right hand, and feet, originally reported by Zhou et al. (2016) in a study on automated trial selection for motor imagery brain-computer interfaces. Each participant completed three sessions of two runs, giving 450 trials per subject. Data were recorded from 14 channels at 250 Hz and reformatted into BIDS from a MOABB-generated Zenodo version.

Participants

4

Channels

14 (10-10)

Citations

87

Size

152 MB

Version

v1.0.0

Updated

Mar 3, 2026

EEG dataset from a picture-word interference (PWI) picture-naming experiment conducted at the NeuroCognition Laboratory at San Diego State University. Participants named line drawings preceded by English distractor words that were semantically related, identical in name, or unrelated to the picture, while EEG and verbal responses were recorded. The dataset supports investigation of the neural correlates of lexical access and semantic interference during speech production.

Participants

29

Channels

32 (10-10)

Size

2.28 GB

Version

v1.0.0

Updated

Jun 28, 2026

Multimodal dataset from a bi-focal, MRI-navigated TMS-EEG study of cortico-cortical paired associative stimulation (ccPAS) targeting left and right primary motor cortex (M1). Pulses were delivered with inter-hemispheric asynchronies of 4, 9, or 14 ms. Single-pulse TMS-EEG and resting-state EEG were recorded before and at 10 and 60 minutes after ccPAS to assess modulation of effective connectivity. Structural T1w MRI is provided for all subjects, with resting-state fMRI and HARDI diffusion imaging for some. Additional sessions stimulated left M1 or DLPFC at various intensities.

Participants

13

Channels

64 (10-10)

Citations

3

Size

1021 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.

Participants

22

Channels

61 (10-10)

Citations

45

Size

256 GB

Version

v1.0.0

Updated

Jun 8, 2026

This dataset, named DataSet2, is an EEG dataset originally deposited on OpenNeuro (ds002833) and mirrored on NEMAR. It was contributed by Mheich and colleagues. The available documentation gives no details on the experimental paradigm or participants.

Participants

20

Channels

257 (egi-geodesic)

Size

39.8 GB

Version

v1.0.0

Updated

Jun 21, 2026