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

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
nm000234
BNCI 2015-009 AMUSE (Auditory Multi-class Spatial ERP) dataset

EEG Zarr

…Offline auditory oddball task using spatial location of auditory stimuli as discriminating…

Participants

21

Channels

60 (10-10)

Citations

91

HED

v8.4.0

Size

16.5 GB

Version

v1.0.3

Updated

Oct 8, 2026

by Martijn Schreuder et al.
nm000189
BNCI 2015-003 P300 dataset

EEG Zarr

…Auditory Multi-class Spatial ERP (AMUSE) paradigm using spatial auditory cues from…

Participants

10

Channels

8 (10-10)

HED

v8.4.0

Size

74.4 MB

Version

v1.0.4

Updated

Oct 8, 2026

by Martijn Schreuder et al.
nm000383
Medial and lateral orbitofrontal cortex in approach-avoidance decisions (Starkweather et al., 2026): SEEG high-frequency activity, 6 patients (derivative)

iEEG

Derivative stereo-EEG dataset of high-frequency activity (HFA, 70-150 Hz) recorded from six patients with depth electrodes performing an approach-avoidance decision task. It supports analysis of the differential contributions of medial and lateral orbitofrontal cortex to decision-making under conflict. The data are the authors' processed HFA, epoched per trial and aligned to trial onset and decision, and are accompanied by per-trial behavioural data and artifact-review labels.

Participants

6

Size

11.3 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Clara Kwon Starkweather et al.
nm000253
Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli

iEEG Zarr

…For coordinates, use `spatial_scale="coords"` and the integer rows from `electrodes…

Participants

10

Size

257 GB

Version

v1.1.0

Updated

Sep 21, 2026

by Christopher Wang et al.
nm000265
Guttmann-Flury et al. 2025 (Motor Imagery) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms

EEG Zarr

This dataset contains 64-channel EEG recorded from 31 healthy participants performing a two-class (left vs. right hand) motor imagery task. Each participant completed up to three sessions of 40 trials. The recordings are part of a multimodal collection that also includes eye-tracking and high-speed video, intended for analyzing ocular activity across BCI paradigms. Events are annotated with HED, and the data are organized in BIDS format via MOABB.

Participants

31

Channels

62 (10-10)

Citations

13

HED

v8.4.0

Size

33.6 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Eva Guttmann-Flury et al.
on004625
Mind in Motion Young Adults Walking Over Uneven Terrain

EEG Zarr

A multimodal mobile brain/body imaging dataset from 32 young adults walking over uneven terrain at different speeds. It includes high-density dual-layer EEG, neck EMG, IMU acceleration, ground reaction forces, and head models built from T1-weighted MR images. Each participant also completed a seated rest trial, and digitized electrode locations are provided for every subject.

Participants

32

Channels

120 (other)

Size

62.5 GB

Version

v1.0.0

Updated

Jun 25, 2026

by Chang Liu et al. OpenNeuro ds004625
nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)

EEG Zarr

The Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB) provides high-density 128-channel EEG and eye-tracking recordings from a developmental cohort spanning childhood to adulthood. Participants completed a battery of cognitive and perceptual paradigms, including resting state, surround suppression, naturalistic viewing, contrast change detection, sequence learning, and symbol search. This BIDS conversion contains EEG data from 111 participants, with source eye-tracking and behavioural data preserved in sourcedata.

Participants

111

Citations

65

Size

110 GB

Version

v1.0.0

Updated

Jun 17, 2026

by Nicolas Langer et al.
on007738
Whole-Head Cocktail Party fNIRS

NIRS

…subjects performing covert and overt spatial-attention tasks in a cocktail-party…

Participants

38

Size

37.5 GB

Version

v1.0.0

Updated

Jun 19, 2026

by Sudan Duwadi et al. OpenNeuro ds007738
nm000330
Leelakittisin2025: Sit-to-stand / stand-to-sit transition motor imagery dataset

EEG

A 60-channel EEG dataset with EOG and EMG recordings from 22 healthy participants performing sit-to-stand and stand-to-sit transitions under motor execution and motor imagery conditions. Each participant completed two sessions, with about 20 trials per transition class. It is described as the first public EEG dataset to explicitly target postural transitions, and supports research on neural activation patterns and brain-computer interfaces for lower-limb movement. This BIDS release was reformatted from the original Zenodo deposit using MOABB.

Participants

22

Channels

60 (10-10)

HED

v8.4.0

Size

58.2 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Benjakarn Uengsawapak et al.