Discover datasets

Raw 64-channel EEG, electrocardiography, photoplethysmography, pupillometry and behavioral data from 86 participants during 4 minutes of eyes-closed rest and a digit span serial recall task. Participants memorized or passively listened to auditory digit sequences of 5, 9, or 13 items. The dataset supports work on cognitive load discrimination, event-related and oscillatory dynamics during encoding and maintenance, and links between working memory, central and peripheral physiology.

Participants

86

Channels

63 (10-10)

Citations

65

Size

253 GB

Version

v1.0.0

Updated

Jun 22, 2026

M3CV is a multi-subject, multi-session, multi-task EEG database with 64-channel recordings from 95 healthy young adults. Each subject was recorded on two different days across six paradigms covering 13 distributed signal types: resting states, motor execution, transient visual, auditory and somatosensory responses, SSVEP, P300, SSAEP and SSSEP. The data were originally released for an EEG-based biometrics competition on Kaggle. This BIDS version reconstructs pseudo-continuous EEG from the distributed pre-epoched, preprocessed 250 Hz files.

Participants

95

Channels

64 (10-10)

Citations

31

Size

21.6 GB

Version

v1.0.0

Updated

May 11, 2026

EEG recordings from healthy participants performing self-initiated palmar and lateral reach-and-grasp actions, acquired simultaneously across three recording systems: gel-based laboratory EEG, water-based mobile EEG, and dry-electrode mobile EEG. The dataset supports investigation of the feasibility of decoding natural reach-and-grasp movement-related cortical potentials across EEG acquisition modalities for brain-computer interface applications. It is distributed in BIDS format as part of the MOABB benchmark collection.

Participants

45

Channels

58 (10-05)

Citations

50

HED

v8.4.0

Size

8.67 GB

Version

v1.0.4

Updated

Oct 8, 2026

Intracranial EEG (iEEG) recordings used to evaluate a flexible, scalable, high-channel-count micro-stereo-electrode for recording neural activity in the brain. The dataset includes raw and preprocessed (epoched) recordings from multiple species, including human patients, non-human primates, pigs and rodents. Direct electrical stimulation was used to examine the effects of stimulation on brain activity. Data are organized in iEEG-BIDS format, with binary files and channel maps in the derivatives folder.

Participants

1

Citations

3

Size

1.36 GB

Version

v1.0.0

Updated

Jun 25, 2026

Clinical intracranial EEG (iEEG) recordings from 12 epilepsy surgery patients at the University Medical Center Utrecht, forming part of the RESPect (Registry for Epilepsy Surgery Patients) collection. Six patients were recorded intraoperatively with acute ECoG and six had long-term monitoring (three with ECoG, three with SEEG). The data are organized in BIDS, with separate session and run conventions for intraoperative and long-term recordings.

Participants

6

Size

2.60 GB

Version

v1.0.0

Updated

Jun 22, 2026

SeizeIT2 is a multicenter, prospective dataset of wearable behind-the-ear EEG, ECG, EMG and movement recordings from 125 adult and pediatric patients with focal epilepsy. Patients were monitored in five European epilepsy monitoring units with the Sensor Dot wearable device alongside standard video-EEG. The dataset contains about 11,640 hours of wearable data with 886 recorded focal seizures, annotated in BIDS-score compatible format, and supports the development and validation of seizure detection algorithms.

Participants

125

Channels

2

Size

117 GB

Version

v1.0.0

Updated

Jun 28, 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

This dataset contains laser-evoked potentials recorded from the human spinal cord and cortex. It combines electrophysiological recordings to characterize nociceptive responses along the neuraxis. The data are organized in EEG-BIDS format and shared under a CC0 license.

Participants

7

Channels

72 (other)

Size

18.6 GB

Version

v1.0.0

Updated

Jun 26, 2026

This dataset contains 64-channel EEG recorded from 31 healthy participants performing a two-class (left vs. right hand) motor imagery task. Each participant completed up to three sessions of 40 trials. The recordings are part of a multimodal collection that also includes eye-tracking and high-speed video, intended for analyzing ocular activity across BCI paradigms. Events are annotated with HED, and the data are organized in BIDS format via MOABB.

Participants

31

Channels

62 (10-10)

Citations

13

HED

v8.4.0

Size

33.6 GB

Version

v1.0.3

Updated

Aug 18, 2026

Scalp EEG recordings from 27 stroke patients performing a lower-limb motor imagery task under a multi-paradigm protocol with longitudinal, repeated-session training. The dataset supports research on motor-imagery brain-computer interfaces for lower-limb and gait rehabilitation after stroke. It is distributed in BIDS format and was collected at Tianjin University.

Participants

27

Channels

64 (10-10)

Citations

27

HED

v8.4.0

Size

56.7 GB

Version

v1.0.5

Updated

Aug 20, 2026