Discover datasets

EEG recordings from 11 healthy participants performing a multi-streamed auditory oddball task with polyphonic music. Participants selectively attended to one of three concurrent instruments (Synth-Pop or Jazz clips) and counted deviants. The dataset supports brain-computer interface research on P300 and early auditory responses, and the attended instrument could be classified offline with a mean accuracy of 91%.

Participants

11

Channels

64 (10-10)

Citations

83

HED

v8.4.0

Size

11.8 GB

Version

v1.0.3

Updated

Oct 8, 2026

A longitudinal EEG dataset of event-related potentials recorded with a rapid serial visual presentation (RSVP) paradigm for EEG-based identity authentication. Fifteen healthy participants viewed streams of face images, with their own face as the target and AI-generated faces as non-targets, across four sessions spanning about 200 days. Recordings used 57 channels at 1000 Hz. The data support research on P300-based target detection and biometric authentication.

Participants

15

Channels

57 (10-10)

Citations

5

HED

v8.4.0

Size

57.0 GB

Version

v1.0.3

Updated

Oct 8, 2026

Electroencephalographic recordings from 14 healthy participants performing a cue-guided, two-class motor imagery task (right hand versus feet) in a Graz-BCI paradigm with continuous visual feedback. Each participant completed a single session of 8 runs and 160 trials, recorded with 15 EEG channels at 512 Hz. The dataset was used to compare random forest and regularized LDA classifiers for sensorimotor rhythm brain-computer interfaces.

Participants

14

Channels

15 (other)

HED

v8.4.0

Size

1.37 GB

Version

v1.0.5

Updated

Oct 8, 2026

EEG recordings from eight people with amyotrophic lateral sclerosis (ALS) performing a visual P300 speller task with a 6x6 matrix. Participants copy-spelled seven predefined five-character words using row-column intensification while 8-channel EEG was recorded at 256 Hz. The dataset supports study of how attention and working memory relate to P300-based brain-computer interface performance in a clinical population.

Participants

8

Channels

8 (10-10)

Citations

89

HED

v8.4.0

Size

241 MB

Version

v1.0.3

Updated

Oct 8, 2026

EEG dataset of error-related potentials (ErrPs) recorded from six participants while they monitored a cursor moving autonomously toward a target, with 20% or 40% error probability. Participants had no control over the cursor, showing that error correlates can be observed and decoded when monitoring an external agent. Recordings were made with 64 channels at 512 Hz across 20 sessions per subject, and the data support single-trial error detection for brain-computer interfaces.

Participants

6

Channels

64 (10-10)

Citations

81

HED

v8.4.0

Size

5.21 GB

Version

v1.0.2

Updated

Aug 18, 2026

This dataset contains 62-channel EEG recordings from 18 healthy, right-handed participants performing motor imagery of eight multi-joint movements of the unilateral upper limb. The movements involve the hand, wrist, elbow and shoulder. Each participant completed 320 cue-based trials across 8 blocks, with 40 trials per class. The data support research on brain-computer interfaces for motor rehabilitation.

Participants

18

Channels

62 (10-10)

Citations

6

HED

v8.4.0

Size

50.0 GB

Version

v1.0.2

Updated

Aug 18, 2026

A hybrid EEG-fNIRS motor imagery dataset for brain-computer interface research in intracerebral hemorrhage (ICH). It includes 37 participants (17 healthy, 20 ICH patients) performing two-class left/right hand grasping motor imagery across up to several sessions. The data are pre-epoched, and the dataset is intended for developing and benchmarking BCI approaches for stroke rehabilitation.

Participants

37

Channels

32 (10-10)

Citations

6

HED

v8.4.0

Size

2.59 GB

Version

v1.0.0

Updated

May 11, 2026

EEG recordings from 10 healthy participants using PASS2D, a nine-class auditory ERP (P300/N200) speller. Users attended to two-dimensional auditory stimuli varying in pitch and direction, presented via headphones, to drive a predictive text entry system. The session contained a calibration phase and an online spelling phase. The data were recorded with 63 EEG channels and are provided as a preprocessed BIDS derivative.

Participants

10

Channels

63 (10-10)

Citations

84

HED

v8.4.0

Size

7.62 GB

Version

v1.0.3

Updated

Oct 8, 2026

EEG recordings from 10 healthy participants using an auditory P300 brain-computer interface speller based on the AMUSE (Auditory Multi-class Spatial ERP) paradigm. Six speakers placed around the participant provided spatial auditory cues for a two-step, hex-o-spell-like character selection. The recordings include calibration and online spelling in two sessions, the second using a dynamic stopping method to increase writing speed.

Participants

10

Channels

8 (10-10)

HED

v8.4.0

Size

74.4 MB

Version

v1.0.4

Updated

Oct 8, 2026

A P300 brain-computer interface EEG dataset from 10 healthy, BCI-experienced female participants who selected one of 36 characters using two visual spelling interfaces: the P300 Speller (overt attention) and GeoSpell (covert attention). EEG was recorded from 16 scalp electrodes across multiple sessions. The dataset supports analysis of P300 latency jitter and its relationship to BCI classification performance.

Participants

10

Channels

16 (10-10)

Citations

85

HED

v8.4.0

Size

247 MB

Version

v1.0.3

Updated

Oct 8, 2026