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nm000152
Upper-limb elbow-centered motor imagery dataset (10 classes)

EEG Zarr

EEG recordings from 12 healthy, BCI-naive participants performing kinesthetic motor imagery of upper-limb, elbow-centered tasks. The paradigm has 10 classes: rest, elbow flexion, and eight goal-directed daily-living tasks such as drawer opening, soup eating, weight lifting and combing. Data were recorded with a 17-channel EGI system at 1000 Hz. The dataset supports research on the versatility of EEG models for motor-imagery BCI control and rehabilitation.

Participants

12

Channels

17 (other)

Citations

12

HED

v8.4.0

Size

4.18 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Xin Zhang et al.
on008465
NeuralEcho MACS high-density communication-related EEG dataset

EEG Zarr

…EEGLAB preprocessing derivatives and subject-level machine-learning exports are under derivatives…

Participants

30

Channels

124 (10-05)

Size

181 GB

Version

v1.0.0

Updated

Sep 8, 2026

by Huang Jinfeng et al. OpenNeuro ds008465
on005779
Real-time personalized brain state-dependent TMS in healthy adults

EEG Zarr

This dataset contains raw EEG and transcranial magnetic stimulation (TMS) data from healthy adults, collected to test real-time, personalized brain state-dependent stimulation. Whole-brain activity patterns were decoded in real time to predict activation of the corticospinal tract, with motor evoked potentials as the outcome measure. The companion publication (Khatri, Pulliam, Manesiya, Cortez, Millán and Hussain, 'Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time', Brain Stimulation, 2024) is in press and has no DOI yet.

Participants

19

Channels

70 (10-10)

Size

88.7 GB

Version

v1.0.0

Updated

Jun 18, 2026

by Uttara Khatri et al. OpenNeuro ds005779
nm000352
IEEG004: A library of human electrocorticographic data and analyses (Kai J. Miller) - calibrated task subset

iEEG

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

by Kai J. Miller
nm000336
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study R)

EEG Zarr

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000336-blue…

Participants

20

Channels

32 (10-10)

Citations

2

HED

v8.4.0

Size

6.59 GB

Version

v1.0.4

Updated

Oct 8, 2026

by Boyla Mainsah et al.
on005494
Cued Recall of Paired Associates with Open-Loop Stimulation at Encoding or Retrieval

BEH iEEG Zarr

This dataset provides intracranial EEG recordings and behavioral events from a cued recall paired-associates memory task with open-loop electrical stimulation. Participants studied word pairs, completed an arithmetic distractor, and then performed cued recall. Stimulation was delivered to single hippocampal or entorhinal electrodes during either encoding or retrieval. Data were collected at clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

20

Size

26.3 GB

Version

v1.0.0

Updated

Jun 27, 2026

by Haydn G. Herrema et al. OpenNeuro ds005494
nm000326
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study C)

EEG Zarr

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000326-blue…

Participants

19

Channels

32 (10-10)

Citations

2

HED

v8.4.0

Size

4.11 GB

Version

v1.0.4

Updated

Oct 8, 2026

by Boyla Mainsah et al.
on004324
ToonFaces

EEG Zarr

EEG dataset investigating whether images of stylized (cartoon-like) faces with exaggerated visual features improve event-related potential (ERP) correlates of emotion relative to ordinary human faces. The stylized faces elicit an enhanced N170 component associated with facial recognition encoding. The findings suggest that consistent stimulus transformations could improve affect detection from EEG in affective brain-computer interface design.

Participants

26

Channels

28 (10-10)

Citations

1

Size

2.46 GB

Version

v1.0.0

Updated

Jun 24, 2026

by Luis Alberto Barradas Chacón et al. OpenNeuro ds004324
nm000303
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study O)

EEG Zarr

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000303-blue…

Participants

18

Channels

32 (10-10)

Citations

2

HED

v8.4.0

Size

3.23 GB

Version

v1.0.4

Updated

Oct 8, 2026

by Boyla Mainsah et al.
nm000313
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study S2)

EEG Zarr

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000313-blue…

Participants

24

Channels

32 (10-10)

Citations

2

HED

v8.4.0

Size

3.74 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Boyla Mainsah et al.