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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
nm000319
Kueper2024: Unilateral vs bilateral movement-execution EEG dataset

EEG

…EEG, movement intention, ERP, BCI, stroke rehabilitation, LRP References ---------- Kueper, N., Kim…

Participants

8

Channels

64 (10-10)

HED

v8.4.0

Size

1.49 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Niklas Kueper et al.
on007526
PD-EEG: Resting-State & Walking EEG in Parkinson's Disease

EEG Zarr

…independently ### Exclusion criteria: - History of stroke or major neurological disorder - Brain surgery…

Participants

144

Channels

65 (10-10)

Citations

1

Size

4.26 GB

Version

v1.0.0

Updated

Jun 30, 2026

by Zoya Katzir et al. OpenNeuro ds007526
nm000387
Ripples reflect a spectrum of synchronous spiking activity in human anterior temporal lobe (Tong et al., 2021): figure-level iEEG, micro-LFP and spiking arrays (derivative)

iEEG

…Institute of Neurological Disorders and Stroke F31 NS113400 to Alex P Vaz…

Participants

7

Size

3.98 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Ai Phuong Tong et al.
nm000253
Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli

iEEG Zarr

The Brain Treebank is a large-scale dataset of intracranial (stereo-EEG) recordings from 10 epilepsy patients who watched Hollywood movies. Signals were sampled at 2048 Hz from 1,688 electrodes in total, across 26 movie trials and about 43 hours of data. The movie audio was transcribed with manually annotated word onsets, and each transcript was parsed into Universal Dependencies syntax trees. This makes the dataset a resource for studying the neural basis of naturalistic language. This record provides the data in BIDS-iEEG format.

Participants

10

Size

257 GB

Version

v1.1.0

Updated

Sep 21, 2026

by Christopher Wang et al.
nm000133
Alljoined1

EEG Zarr

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

by Jonathan Xu et al.
on005385
Resting-state EEG data before and after cognitive activity across the adult lifespan and a 5-year follow-up

EEG Zarr

…as dementia, Parkinson disease, or stroke); cardiovascular, oncological, and eye diseases; psychiatric…

Participants

608

Channels

64 (10-10)

Size

74.1 GB

Version

v1.0.0

Updated

Jun 14, 2026

by Edmund Wascher et al. OpenNeuro ds005385
nm000177
Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)

EEG

A longitudinal motor imagery EEG dataset from 18 BCI-naive participants recorded across six sessions (one offline, five online) with 22 EEG channels at 512 Hz. It supports the study of transfer learning for brain-computer interface skill acquisition, comparing unsupervised Generic Recentering and supervised Personally Assisted Recentering for calibration-free training. Participants performed left/right hand motor imagery with continuous visual feedback.

Participants

18

Channels

22 (10-10)

Citations

53

HED

v8.4.0

Size

14.4 GB

Version

v1.0.5

Updated

Oct 8, 2026

by Satyam Kumar et al.
on007788
Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals

EEG MOTION Zarr

A longitudinal brain-machine interface dataset from seven healthy adults who controlled a Rex Bionics lower-limb exoskeleton through motor imagery (walk/stop). Each participant completed nine sessions, each with an open-loop calibration training phase followed by twelve closed-loop control trials and extended 6-minute walk and stop imagery tasks. The dataset includes 60-channel EEG, EOG, IMU motion data from the head and exoskeleton, and exoskeleton control and feedback signals.

Participants

7

Channels

60

Size

3.62 GB

Version

v1.0.0

Updated

Jun 30, 2026

by Shantanu Sarkar et al. OpenNeuro ds007788
nm000296
MIMED2024: Motor Imagery MIMED dataset from Wirawan et al. 2024

EEG

EEG recordings of motor imagery and motor execution for six activities (raising and lowering each hand, standing and sitting) from 30 healthy participants over two sessions. Data were acquired with a 14-channel Emotiv EPOC X headset at 128 Hz. This BIDS re-release, produced via MOABB, exposes a 3-class imagery task (left hand, right hand, trunk) for brain-computer interface research. The distributed imagery files carry no per-repetition activity label, so only folder-level 3-class labels are available.

Participants

30

Channels

14 (10-10)

HED

v8.4.0

Size

41.2 MB

Version

v1.0.0

Updated

Oct 8, 2026

by I Made Agus Wirawan et al.