Discover datasets

This dataset provides eyes-open scalp EEG recordings acquired during intermittent photic stimulation (5 to 30 Hz in 5 Hz steps) from 36 participants with Alzheimer's disease, 23 with frontotemporal dementia, and 29 healthy controls. It complements an earlier eyes-closed resting-state dataset of the same cohort, and participant numbers match between the two. Raw and preprocessed (filtered, ASR- and ICA-cleaned) recordings are provided in BIDS format alongside clinical MMSE scores and demographics.

Participants

88

Channels

19 (10-20)

Citations

21

Size

2.11 GB

Version

v1.0.0

Updated

Jun 28, 2026

EEG recordings from 23 participants performing a passive viewing task with partially occluded and subsequently uncovered scenes containing game pieces on a game board. Conditions varied the number of initially visible pieces (4 or 32) and the number of pieces revealed after the occluder was removed (0 to 32). The dataset supports investigation of neural responses to object numerosity in occluded and uncovered visual scenes.

Participants

23

Channels

60 (10-10)

Size

28.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

Electroencephalography recordings from 50 participants viewing 22,248 images spanning 1,854 object concepts from the THINGS database. Images were shown in rapid serial visual presentation streams at 10 Hz while participants performed an orthogonal fixation colour change detection task. The dataset supports research on the temporal dynamics of object recognition and visual representation in the human brain.

Participants

50

Channels

63

Citations

3

Size

55.3 GB

Version

v1.0.0

Updated

Mar 14, 2026

EEG recordings from four participants performing motor imagery of the left hand, right hand, and feet, originally reported by Zhou et al. (2016) in a study on automated trial selection for motor imagery brain-computer interfaces. Each participant completed three sessions of two runs, giving 450 trials per subject. Data were recorded from 14 channels at 250 Hz and reformatted into BIDS from a MOABB-generated Zenodo version.

Participants

4

Channels

14 (10-10)

Citations

87

Size

152 MB

Version

v1.0.0

Updated

Mar 3, 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

A NEMAR re-host and EMG-BIDS conversion of the public Meta emg2pose benchmark, pairing 2 kHz, 16-channel wrist surface electromyography with hand pose labels from a 26-camera motion-capture system. The release spans 193 users, about 370 hours, 29 behavioral stages and roughly 80 million labeled frames. It supports research on estimating hand pose from surface EMG.

Participants

193

Size

740 GB

Version

v1.0.3

Updated

Aug 31, 2026

A multimodal EEG, EOG and EMG dataset from 25 healthy, BCI-naive right-handed participants performing motor imagery and real movement of 11 intuitive upper-limb tasks. The tasks were 6 reaching directions, 3 grasping types and 2 wrist-twisting movements. Each participant completed 3 sessions of 550 trials. Recordings used 60 EEG channels at 1000 Hz. This BIDS derivative was generated via MOABB and is intended for BCI research on motor control and prosthetics.

Participants

25

Channels

71 (10-10)

Citations

87

HED

v8.4.0

Size

326 GB

Version

v1.0.2

Updated

Aug 18, 2026

This dataset contains EEG, physiological (ECG, PPG, respiration) and behavioural recordings from 103 healthy adults aged 21-45, collected in 2022-2023 as part of a larger study. Participants completed an 8-minute eyes-closed resting state, followed by the Illusion Game. In this task they made perceptual judgements about the Ebbinghaus, Müller-Lyer and Vertical-Horizontal illusions, with task difficulty and illusion strength varied. The data are intended for investigating individual sensitivity to visual illusions as a general factor.

Participants

103

Channels

59 (10-10)

Size

219 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset contains EEG recordings, along with PPG, respiration, ECG and accelerometry, from 20 healthy volunteers performing cued left- versus right-hand motor imagery of a bimanual rowing task. Sessions were part of brain-computer interface training in the NeuRow environment, comparing Graz and virtual-reality conditions with optional haptic and head-mounted-display feedback. The data are a BIDS re-release of the original Zenodo deposit, produced via MOABB, for neurorehabilitation-oriented BCI research.

Participants

20

Channels

32 (10-10)

HED

v8.4.0

Size

5.48 GB

Version

v1.0.0

Updated

Oct 8, 2026

An open access dataset for hybrid brain-computer interface research combining EEG and near-infrared spectroscopy (NIRS). This portion (Experiment A) contains recordings from 29 healthy participants performing left versus right hand kinesthetic motor imagery over multiple sessions. The data include 30 EEG channels plus EOG, are preprocessed, and are annotated with HED tags. They support single-trial classification and multimodal BCI validation.

Participants

29

Channels

30 (10-05)

Citations

95

HED

v8.4.0

Size

6.50 GB

Version

v1.0.3

Updated

Aug 18, 2026