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on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans

ANAT EEG FUNC Zarr

A multimodal neuroimaging dataset (EEG, anatomical MRI and functional MRI) for studying the spatiotemporal dynamics of visual processing in the human brain, as described by the dataset title. This is a NEMAR-hosted copy of OpenNeuro dataset ds002814. The associated article was under review at the time of the record. The source README is an unfilled placeholder, so further study details are not available in the dataset documentation. Contact the corresponding authors (Seyed-Mahdi Khaligh-Razavi, Fatemeh Ebrahiminia) for more information.

Participants

21

Citations

7

Size

48.6 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Fatemeh Ebrahiminia et al. OpenNeuro ds002814
nm000369
Sensorimotor alpha and beta ECoG during movement imagery (Stolk et al. 2019, shared participants S4-S6)

iEEG

…rh.pial` (cortical meshes, no facial information). - Per-participant age/sex are…

Participants

3

Size

663 MB

Version

v1.0.0

Updated

Oct 8, 2026

by Arjen Stolk et al.
nm000395
Categorical processing of Chinese lexical tone: ECoG auditory oddball in 6 epilepsy patients (Si, Zhou & Hong 2017)

iEEG

…A surface render of these volumes shows reconstructable facial features, so they…

Participants

6

Size

996 MB

Version

v1.0.0

Updated

Oct 8, 2026

by Xiaopeng Si et al.
on000248

ANAT MEG Zarr

The MNE-Sample-Data dataset is a simultaneous MEG and 60-channel EEG recording with an accompanying structural MRI, distributed with the MNE software. Checkerboard patterns were presented to the left and right visual fields, interleaved with tones to the left or right ear, and the subject responded to occasional smiley faces. It serves as a standard example dataset for demonstrating MEG/EEG analysis workflows, and FreeSurfer-derived anatomical surfaces are included.

Participants

2

Size

1.93 GB

Version

v1.0.0

Updated

Jun 20, 2026

by Alexandre Gramfort et al. OpenNeuro ds000248
nm000372
Network of autoscopic hallucinations elicited by intracerebral stimulation of periventricular nodular heterotopia: SEEG during 43 Hz and single-pulse stimulation (1 patient)

ANAT iEEG

…check (surface renderings, six views): facial features are removed. - `sourcedata/dryad-7h44j0ztk…

Participants

1

Size

2.32 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Flavius Ionut Bratu et al.
on004830
Spatial Attention Decoding using fNIRS During Complex Scene Analysis

NIRS

This dataset contains functional near-infrared spectroscopy (fNIRS) recordings collected while participants performed spatial attention tasks during complex auditory scene analysis. It supports research on decoding the focus of spatial attention from hemodynamic signals. The data are organized in BIDS format and accompany a published data paper.

Participants

12

Size

2.19 GB

Version

v1.0.0

Updated

Jun 18, 2026

by Matthew Ning et al. OpenNeuro ds004830
on005346
Naturalistic fMRI and MEG recordings during viewing of a reality TV show

ANAT FUNC MEG Zarr

…via dcm2niix (v1.0.20220505). Facial features were removed from anatomical images…

Participants

60

Citations

4

Size

112 GB

Version

v1.0.0

Updated

Jun 26, 2026

by Jixing Li et al. OpenNeuro ds005346
nm000267
Shin et al. 2017 (Experiment A) — Open Access Dataset for EEG+NIRS Single-Trial Classification

EEG Zarr

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

by Jaeyoung Shin et al.
nm000310
Guttmann-Flury et al. 2025 (SSVEP) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms

EEG Zarr

A multimodal SSVEP dataset of 64-channel EEG, an EOG channel, and stimulus markers recorded from 31 healthy participants over up to 3 sessions each (63 sessions in total). Participants viewed LED stimuli flickering at four frequencies in a 4-class SSVEP paradigm (48 trials per session). It is the SSVEP component of a larger resource combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms, and is formatted for use with MOABB.

Participants

11

Channels

62 (10-10)

Citations

14

HED

v8.4.0

Size

28.6 GB

Version

v1.0.4

Updated

Oct 8, 2026

by Eva Guttmann-Flury et al.
nm000295
Kodera2023: Left/right-hand motor-imagery EEG dataset

EEG

A left/right-hand motor-imagery EEG dataset from 29 healthy participants recorded at the University of West Bohemia for brain-computer interface research. Participants performed cue-based, single-class imagery of left- or right-hand movement across four runs in one session. The data are re-released in BIDS format with HED event annotations via MOABB.

Participants

29

Channels

9 (10-20)

HED

v8.4.0

Size

800 MB

Version

v1.0.0

Updated

Oct 8, 2026

by Jakub Kodera et al.