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on007473
High-Density Diffuse Optical Tomography Audiovisual Movie Viewing Dataset

NIRS

This dataset contains high-density diffuse optical tomography (HD-DOT) recordings from 5 participants performing functional localizer tasks and audiovisual movie viewing. Data are provided in SNIRF format together with optode and landmark locations linked to subject-specific head models. It supports research on mapping brain function during naturalistic viewing and on decoding multisensory stimuli.

Participants

5

Size

36.3 GB

Version

v1.0.0

Updated

Jun 19, 2026

by Morgan Fogarty et al. OpenNeuro ds007473
on003887
Capacity for movement is an organisational principle in object representations: EEG data from Experiment 2

EEG Zarr

…dimension in the representation of visual objects in humans. In this experiment…

Participants

24

Citations

3

Size

80.7 GB

Version

v1.0.0

Updated

Jun 22, 2026

by Shatek et al. OpenNeuro ds003887
on003885
Capacity for movement is an organisational principle in object representations: EEG data from Experiment 1

EEG Zarr

…dimension in the representation of visual objects in humans. In this experiment…

Participants

24

Citations

18

Size

82.2 GB

Version

v1.0.0

Updated

Jun 22, 2026

by Shatek et al. OpenNeuro ds003885
nm000196
c-VEP dataset from Thielen et al. (2015)

EEG Zarr

…Visual stimulation with pseudo-random bit-sequences evokes specific Broad-Band Visually…

Participants

12

Channels

64 (10-10)

Citations

74

HED

v8.4.0

Size

11.0 GB

Version

v1.0.4

Updated

Oct 8, 2026

by Jordy Thielen et al.
nm000112
FACED - Finer-grained Affective Computing EEG Dataset

EEG Zarr

The Finer-grained Affective Computing EEG Dataset (FACED) contains 32-channel scalp EEG from 123 healthy participants who watched 28 emotion-eliciting video clips targeting nine emotion categories (four negative, four positive, and neutral). Participants gave self-reported ratings on 12 dimensions, including discrete emotions, valence, arousal, liking, and familiarity. The dataset supports cross-subject affective computing and the development of EEG-based emotion recognition algorithms. This version is converted to BIDS with events annotated by video and emotion labels.

Participants

123

Channels

32 (10-10)

Citations

94

Size

31.4 GB

Version

v1.1.3

Updated

May 29, 2026

by Yisi Liu et al.
nm000131
Wang2021 – Combined SSVEP dataset with single stimulus location for two inputs

EEG Zarr

…A combined brain-computer interface based on Steady-State Visual Evoked Potential…

Participants

8

Channels

31 (10-10)

Citations

3

HED

v8.4.0

Size

5.30 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Lu Wang et al.
nm000125
Lee2021 – SSVEP paradigm of the Mobile BCI dataset

EEG Zarr

…Stimulus type**: visual flicker - **Stimulus modalities**: visual - **Primary modality**: visual - **Synchronicity**: synchronous…

Participants

23

Channels

73 (other)

Citations

36

HED

v8.4.0

Size

1.31 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Young-Eun Lee et al.
nm000373
Intracranial entrainment reveals statistical learning across levels of abstraction (Sherman et al., 2023): raw iEEG from 8 neurosurgical patients

iEEG

Raw intracranial EEG (iEEG) recorded from 8 neurosurgical patients with electrodes implanted for seizure monitoring while they passively viewed rapid streams of scene photographs. Streams contained statistical structure at the category level or the exemplar level, alongside a random baseline. Neural entrainment (phase coherence) at the image frequency (2 Hz) and the pair frequency (1 Hz) was used to track online statistical learning across levels of abstraction. The data are converted to iEEG-BIDS without signal modification.

Participants

8

Size

17.5 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Brynn Sherman et al.
nm000379
Rapid coordination of effective learning by the human hippocampus: intracranial EEG during scene recognition with eye tracking

iEEG

Stereo-EEG recordings from six patients with medically refractory epilepsy performing a scene recognition memory task with concurrent EyeLink eye tracking. The dataset accompanies a study of how the human hippocampus rapidly coordinates effective learning, and is a lossless iEEG-BIDS re-packaging of the authors' public Zenodo release. It includes electrode MNI coordinates, behavioural arrays, eye-tracking files and the authors' analysis code in sourcedata.

Participants

6

Size

41.7 GB

Version

v1.0.0

Updated

Oct 8, 2026

by James E. Kragel 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