Discover datasets

A calibrated task subset of Kai J. Miller's library of human electrocorticographic (ECoG) data, comprising 111 recordings from 24 epilepsy patients with subdural electrode grids. Tasks include finger flexion, hand gestures, motor movement and imagery, and verb generation and noun reading. Data were recorded at 1 kHz and converted to BIDS in BrainVision format with source-documented amplitude calibration.

Participants

24

Size

14.0 GB

Version

v1.0.0

Updated

Oct 8, 2026

…and recorded using ADC channel inputs to the CTF-275 system. ### Task…

Participants

31

Size

95.8 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains multimodal recordings from an n-back cognitive workload task with four difficulty levels (1-back to 4-back). It includes 19-channel mobile EEG, ECG, and Pupil Labs eye-tracking and pupillometry data, synchronized with Lab Streaming Layer. Twenty participants were recorded and 18 are released, with two excluded for data quality failures. The data were converted from XDF to BIDS.

Participants

18

Channels

19 (10-20)

Size

2.13 GB

Version

v1.0.0

Updated

Jun 30, 2026

…on the presence of user input and interaction in the experiment. #### Passive…

Participants

295

Channels

129 (egi-geodesic)

Citations

21

HED

v8.3.0

Size

185 GB

Version

v1.0.0

Updated

May 25, 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

…on the presence of user input and interaction in the experiment. #### Passive…

Participants

136

Channels

129 (egi-geodesic)

Citations

21

HED

v8.3.0

Size

103 GB

Version

v1.0.0

Updated

May 25, 2026

EEG, galvanic skin response (GSR) and electrocardiogram (ECG) recordings from 16 healthy participants who listened to 40 s synthetically generated music clips targeting two affective states defined by valence and arousal. Data were collected over three sessions on separate days, each with four runs of 18 trials. The recordings were made to train an affective brain-computer music interface (BCMI-MIdAS) to induce target emotional states in individual users. Self-reported valence and arousal values and auxiliary variables are included.

Participants

10

Channels

32 (10-10)

Size

8.52 GB

Version

v1.0.0

Updated

Jun 21, 2026

…must also remain outside the inputs. Preprocessing must not use future samples…

Participants

203

Channels

4 (10-10)

Size

1.08 GB

Version

v1.0.0

Updated

Sep 24, 2026

EEG recordings from 24 healthy participants performing a visual P300 Brain-Computer Interface task based on the Brain Invaders video game, collected at GIPSA-lab (Grenoble) in 2013. The experiment compared a P300 BCI with and without adaptive calibration using Riemannian geometry. Each participant completed multiple sessions with randomized adaptive and non-adaptive runs, each with a training phase and an online phase.

Participants

24

Channels

16 (10-10)

HED

v8.4.0

Size

3.00 GB

Version

v1.0.5

Updated

Oct 8, 2026

T16 (TX16) is an EEG dataset organized in BIDS format with HED annotations (HED version 8.1.0). It was contributed by Tony Johnson, Stephen Gordon, Jon Touryan, and Kevin King, and is released under a CC0 license. The record is a NEMAR mirror of the OpenNeuro deposit ds004843.

Participants

14

Channels

64 (10-10)

HED

v8.1.0

Size

7.66 GB

Version

v1.0.0

Updated

Jun 25, 2026