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EEG recordings from nine end-users with central nervous system tissue damage (stroke or spinal cord injury) performing five cue-guided mental tasks: word association, mental subtraction, spatial navigation, right-hand motor imagery, and feet motor imagery. Data were recorded with 30 active EEG electrodes across two sessions per participant, on different days. The dataset supports brain-computer interface research on individually adapted imagery and binary classification of mental tasks.

Participants

9

Channels

30 (10-10)

Citations

78

HED

v8.4.0

Size

2.74 GB

Version

v1.0.2

Updated

Aug 18, 2026

EEG recordings from 12 healthy, BCI-naive participants performing two-class motor imagery (sustained right-hand palmar grip versus both-feet plantar extension) across two sessions, with 200 trials per session. Data were recorded from 13 sensorimotor channels at 512 Hz with visual cursor feedback, in support of an autocalibrating, recurrently adapting online ERD-based brain-computer interface. The dataset is distributed in BIDS format via MOABB.

Participants

12

Channels

13 (10-10)

Citations

94

HED

v8.4.0

Size

2.83 GB

Version

v1.0.2

Updated

Aug 18, 2026

This dataset contains EEG recordings from 9 healthy subjects performing cued motor imagery of left hand, right hand, feet, and tongue movements, known as BCI Competition IV Dataset 2a. Each subject completed two sessions of six runs, with 22 EEG and 3 EOG channels sampled at 250 Hz. It is widely used as a benchmark for multi-class motor imagery classification in brain-computer interface research.

Participants

9

Channels

22 (10-10)

Citations

89

HED

v8.4.0

Size

1.38 GB

Version

v1.0.3

Updated

Oct 8, 2026

EEG recordings from 9 healthy, BCI-naive participants performing two-class motor imagery (left vs. right hand), originally released as BCI Competition 2008 (IV) Graz data set B (Dataset 2b). Each participant completed five sessions: two screening sessions without feedback and three sessions with smiley visual feedback. Three bipolar EEG channels (C3, Cz, C4) and three EOG channels were recorded at 250 Hz.

Participants

1

Channels

3 (10-20)

Citations

83

HED

v8.4.0

Size

478 MB

Version

v1.0.3

Updated

Oct 8, 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

Alljoined1 is an EEG dataset of neural responses to natural images presented in a rapid serial visual presentation paradigm, built for EEG-to-image decoding research. Eight healthy adults viewed images from the Natural Scenes Dataset (MS-COCO) while 64-channel BioSemi EEG was recorded across one or two sessions. This BIDS version contains raw BDF recordings of 960 shared images, event tables linked to stimuli, and epoched derivatives from the original authors.

Participants

8

Citations

5

Size

8.04 GB

Version

v1.0.4

Updated

Sep 23, 2026