Discover datasets

An example functional near-infrared spectroscopy (fNIRS) dataset from five participants performing a finger tapping task, organized according to the draft fNIRS BIDS specification. Participants tapped their left or right thumb to fingers, or rested as a control, in response to auditory cues, with sensors placed over the motor cortex and short channels attached. The dataset demonstrates conversion of NIRx recordings to BIDS using MNE-BIDS.

Participants

5

Size

47.5 MB

Version

v1.0.0

Updated

Jun 1, 2026

This dataset contains 32-channel EEG recordings acquired during a sham neurofeedback experiment in a virtual reality environment. The study examined how feedback valence (positive, negative, or none) modulates alpha-band activity during an attentional task. Each participant completed positive, negative, control, and resting-state (eyes open/eyes closed) conditions.

Participants

36

Channels

29 (10-10)

Size

10.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

EEG recordings from 10 persons with cervical spinal cord injury performing attempted arm and hand movements: hand open, palmar grasp, lateral grasp, pronation and supination. Sixty-one EEG channels and 3 EOG channels were recorded across 9 runs per participant. Low-frequency time-domain EEG (movement-related cortical potentials) was used to decode the five movement classes offline, and an online proof-of-concept for self-paced movement detection was also run. The dataset supports research on neuroprosthetic and upper-limb control brain-computer interfaces.

Participants

10

Channels

61 (10-05)

Citations

96

HED

v8.4.0

Size

4.51 GB

Version

v1.0.3

Updated

Oct 8, 2026

EEG dataset investigating the sense of agency over movements produced by electrical muscle stimulation (electrically-actuated movements). It examines the illusion of agency when involuntary, externally actuated movements are experienced, and provides raw EEG recordings organized in BIDS format.

Participants

23

Channels

62 (10-10)

Size

98.0 GB

Version

v1.0.0

Updated

Jun 24, 2026

A multi-session, multi-task EEG dataset for passive brain-computer interface research, collected from 15 healthy participants across two sessions. Recordings include resting state and three difficulty levels (easy, medium, difficult) of the MATB-II multitasking environment, recorded with 62 active electrodes at 500 Hz. The dataset supports cross-session and cross-subject mental workload estimation and neuroergonomics applications.

Participants

15

Channels

61 (10-10)

Citations

73

HED

v8.4.0

Size

4.04 GB

Version

v1.0.3

Updated

Aug 18, 2026

EEG recordings of kinesthetic motor imagery of a right-hand ball squeeze at three graded force levels (10%, 40% and 70% of maximal voluntary contraction) from 10 healthy participants. Data were acquired with a 14-channel Emotiv EPOC headset at 128 Hz, with five 5-second imagery cues per 40-second recording. The dataset supports characterization and classification of motor imagery force levels for brain-computer interface research. The associated paper (Journal of Neural Engineering, 2024) is by Martinez-Peon, Garcia-Hernandez, Benavides-Bravo and Parra-Vega.

Participants

10

Channels

14 (10-10)

HED

v8.4.0

Size

54.7 MB

Version

v1.0.0

Updated

Oct 8, 2026

A P300 brain-computer interface EEG dataset from 19 healthy participants, each recorded across 3 sessions. The study examines how visual stimulation conditions, standard flash versus cartoon face stimuli, affect single-option P300-BCI performance across grid sizes of 4 to 9 symbols. Recordings use an 8-channel montage sampled at 256 Hz and include target and non-target event labels.

Participants

19

Channels

8 (10-10)

Citations

16

HED

v8.4.0

Size

482 MB

Version

v1.0.2

Updated

Oct 8, 2026

Raw multimodal recordings of 18-channel EEG and functional near-infrared spectroscopy (fNIRS) from seven participants with orthopedic impairment performing motor imagery tasks. Each participant completed three sessions of 40 trials, with four motor imagery tasks (reach, twist, lift, grasp) presented in random order. The dataset supports research on multimodal brain-computer interfaces for people with motor impairments.

Participants

7

Channels

18

Citations

2

Size

635 MB

Version

v1.0.0

Updated

May 25, 2026

An open-access EEG dataset for inner speech recognition recorded from ten participants with a 136-channel acquisition system. It covers three paradigms (inner speech, pronounced speech, and visualized condition) with four command classes (Up, Down, Right, Left) across 5640 trials. It is intended to support brain-computer interface development and the study of the neural mechanisms of the inner voice.

Participants

10

Citations

78

Size

24.6 GB

Version

v1.0.0

Updated

Jun 22, 2026

EEG recordings from 25 healthy volunteers playing Brain Invaders, a visual P300 brain-computer interface inspired by the video game Space Invaders. Data were acquired with 16 electrodes at GIPSA-lab (Grenoble, France) in 2012, using a training-test design with Target and NonTarget flashes of alien groups. This BIDS version was generated from the original Zenodo deposit through MOABB.

Participants

23

Channels

17 (10-20)

Citations

1

HED

v8.4.0

Size

312 MB

Version

v1.0.5

Updated

Oct 8, 2026