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nm000291
Pan2023: Cross-session motor imagery dataset from Pan et al. 2023

EEG

A cross-session motor imagery EEG dataset from 14 healthy participants who performed cued left- versus right-hand motor imagery on two separate days. Data were recorded with 28 EEG channels at 250 Hz and comprise 60 trials per class per session. The dataset supports research on brain-computer interface decoding and cross-session variability, and it is distributed here in BIDS format with HED event annotations.

Participants

14

Channels

28 (10-10)

HED

v8.4.0

Size

1018 MB

Version

v1.0.0

Updated

Oct 8, 2026

by Lincong Pan et al.
on007181
Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia

ANAT EEG FUNC Zarr

This dataset contains anatomical T1-weighted MRI, raw multi-echo resting-state fMRI, and polysomnography (PSG) EEG recordings from healthy controls and patients with zoster-associated neuralgia (ZAN). It supports investigation of brain structure, functional activity, and sleep differences between HC and ZAN groups. MRI and PSG data partly overlap across participants, and sleep stages were manually scored according to AASM criteria.

Participants

66

Channels

19 (other)

Size

59.2 GB

Version

v1.0.0

Updated

May 25, 2026

by Li Li et al. OpenNeuro ds007181
on003708
Basis profile curve identification to understand electrical stimulation effects in human brain networks

iEEG Zarr

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003708-blue…

Participants

1

Citations

39

Size

620 MB

Version

v1.0.0

Updated

Jun 22, 2026

by Dora Hermes et al. OpenNeuro ds003708
nm000148
Motor imagery BCI dataset with pupillometry augmentation

EEG Zarr

EEG recordings from 30 healthy participants performing a left-hand grasping motor imagery task versus rest, cued by auditory stimuli, with simultaneous pupillometry. The dataset was recorded with a 32-channel BioSemi ActiveTwo system at 512 Hz across two runs of 25 trials per subject. It supports evaluating whether task-evoked pupil diameter changes can improve EEG-based motor imagery brain-computer interface classification.

Participants

30

Channels

32 (10-10)

Citations

36

HED

v8.4.0

Size

3.22 GB

Version

v1.0.2

Updated

Aug 18, 2026

by David Rozado et al.
on004196
Bimodal dataset on Inner speech

ANAT EEG FMAP FUNC Zarr fidelity issue

…Multimodal datasets of brain data enable the fusion of neuroimaging modalities with…

Participants

4

Channels

64 (10-10)

Citations

21

Size

9.33 GB

Version

v1.0.0

Updated

Jun 23, 2026

by Foteini Liwicki et al. OpenNeuro ds004196
nm000144
BNCI 2015-004 Mental tasks dataset

EEG Zarr

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

by Reinhold Scherer et al.
nm000103
Healthy Brain Network EEG - Not for Commercial Use

EEG Zarr

…health through collecting and analyzing neuroimaging, behavioral, and genetic data (Alexander et…

Participants

447

Channels

129 (egi-geodesic)

HED

v8.3.0

Size

250 GB

Version

v2.0.0

Updated

Feb 23, 2026

by Seyed Yahya Shirazi et al.
nm000270
Liu et al. 2025 — Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients (Tianjin University)

EEG Zarr

Scalp EEG recordings from 27 stroke patients performing a lower-limb motor imagery task under a multi-paradigm protocol with longitudinal, repeated-session training. The dataset supports research on motor-imagery brain-computer interfaces for lower-limb and gait rehabilitation after stroke. It is distributed in BIDS format and was collected at Tianjin University.

Participants

27

Channels

64 (10-10)

Citations

27

HED

v8.4.0

Size

56.7 GB

Version

v1.0.5

Updated

Aug 20, 2026

by Yuan Liu et al.
on003670
Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation - BIDS

EEG Zarr

…comply with [BIDS](https://bids.neuroimaging.io/) standard format. The tES/EEG…

Participants

25

Channels

35 (10-10)

Citations

2

Size

97.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

by Nigel Gebodh et al. OpenNeuro ds003670
on003505
VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

ANAT DWI EEG Zarr

VEPCON is a multimodal BIDS dataset with high-density EEG, structural MRI and diffusion-weighted imaging from 20 participants. Visual evoked potentials were recorded during face versus scrambled-face discrimination and coherent versus incoherent motion discrimination. Derivatives include preprocessed single-trial EEG, FreeSurfer outputs, multi-scale brain parcellations (83 to 1015 regions), structural connectomes, and EEG source-imaging inverse solutions, supporting multimodal methods development and structure-function studies.

Participants

20

Channels

128 (biosemi)

Citations

20

Size

58.2 GB

Version

v1.0.0

Updated

Jun 21, 2026

by David Pascucci et al. OpenNeuro ds003505