Discover datasets

License

License filtering isn't available while searching — clear the search box to filter by license.

Participants

Features

Has HED annotation
Has viewer
Has data quality Coming soon

The viewer and Zarr filters aren't available while searching — clear the search box to use them.

Channels & montage

Channel density Electrode system

Channel and montage filters apply while browsing — clear the search box to use them.

Reset

nm000347
Shi et al. 2025 — HEFMI-ICH: a hybrid EEG-fNIRS motor imagery dataset for brain-computer interface in intracerebral hemorrhage

EEG Zarr

HEFMI-ICH is a hybrid EEG-fNIRS motor imagery dataset for brain-computer interface research in intracerebral hemorrhage (ICH). It includes 37 participants (17 healthy, 20 ICH patients) who performed two-class left- and right-hand grasping motor imagery over up to three sessions. This MOABB-packaged version contains pre-epoched, preprocessed 32-channel EEG, intended for developing BCI-based rehabilitation approaches.

Participants

37

Channels

32 (10-10)

Citations

6

HED

v8.4.0

Size

6.42 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Jian Shi et al.
on006720
Alpha power indexes working memory load for durations

ANAT MEG Zarr

…Anatomical MRI recordings: To improve the spatial resolution of the source reconstruction…

Participants

24

Citations

1

Size

136 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Sophie K. Herbst [1] et al. OpenNeuro ds006720
on003523
EEG: Visual Working Memory in Acute TBI

EEG

…was the only session with MRI. (MRI will be uploaded ...later). Session…

Participants

91

Channels

65 (10-10)

Size

37.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

by James F Cavanagh OpenNeuro ds003523
on002158
Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging

ANAT EEG FMAP FUNC Zarr

Simultaneous EEG and fMRI recordings from healthy volunteers who reported their confidence in the accuracy of decisions they either committed themselves or merely observed. The dataset supports analysis of postdecisional contributions to metacognition and includes raw fMRI, BrainVision EEG, T1 anatomical scans and field maps, along with preprocessed EEG and fMRI derivatives.

Participants

20

Size

429 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Michael Pereira et al. OpenNeuro ds002158
on005279
Picture-Word Interference Dataset

ANAT BEH MEG Zarr

…Each subject obtained their own structural MRI for MEG source localization. Corresponding…

Participants

30

Size

58.9 GB

Version

v1.0.0

Updated

Jun 26, 2026

by Hsi T. Wei et al. OpenNeuro ds005279
on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)

EEG Zarr

This dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).

Participants

34

Channels

63 (10-10)

Citations

2

Size

61.2 GB

Version

v1.0.0

Updated

Jun 30, 2026

by [Unspecified1] et al. OpenNeuro ds007162
on004718
Le Petit Prince Hong Kong: Naturalistic fMRI and EEG dataset from older Cantonese speakers

ANAT EEG FUNC Zarr

…The experiment involves collecting task-based and resting-state fMRI, structural MRI…

Participants

52

Channels

64

Size

109 GB

Version

v1.0.0

Updated

Jun 25, 2026

by Mohammad Momenian et al. OpenNeuro ds004718
on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans

ANAT EEG FUNC Zarr

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002814-blue…

Participants

21

Citations

7

Size

48.6 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Fatemeh Ebrahiminia et al. OpenNeuro ds002814
on004012
BRAR_NQ

MEG

MEG recordings from the BRAR_NQ study, which examines neural responses in the human brain to melodic recitation of the Noble Qur'an. The dataset is organized in BIDS format and was collected by the Universiti Sains Malaysia neuroscience research group as part of work on brain reward and anti-reward circuitry.

Participants

30

Size

78.3 GB

Version

v1.0.0

Updated

Jun 23, 2026

by Nur Syairah Ab Rani et al. OpenNeuro ds004012
on007554
Multimodal dataset from the CMx7-MM Experiment

BEH EEG NIRS Zarr

A raw multimodal dataset from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. It includes EEG, fNIRS, ECG, EMG, Biodex torque/kinematics, push-button responses, and subjective ratings of sleepiness and cognitive load. The data are organized in BIDS and are unprocessed exports from the acquisition systems.

Participants

30

Channels

32 (10-10)

Size

4.21 GB

Version

v1.0.0

Updated

Jun 30, 2026

by Zaineb Ajra et al. OpenNeuro ds007554