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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
nm000106
FRL Handwriting: Handwriting Decoding from Surface Electromyography

EMG Zarr

NEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG

Participants

100

Size

45.3 GB

Version

v2.0.0

Updated

Feb 23, 2026

by Patrick Kaifosh et al.
on006850
Urban Appraisal: Physiological Recording during Rating of Different Urban Environments

EEG Zarr

This dataset contains continuous EEG, ECG and electrodermal activity (EDA) recordings from 63 participants who viewed and rated Streetview images of different urban environments on a desktop PC. It was collected to investigate how urban environments and their elements influence urban appraisals and neural responses, including stimulus-onset ERPs (P1, N1, P3, LPP). Each participant rated 56 images on nine subjective scales, and semantic segmentation of the images provides predictors for subjective and neural responses.

Participants

63

Channels

66 (other)

Size

34.7 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Carolina Zaehme et al. OpenNeuro ds006850
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
on007949
Auditory Streaming and Interoception

EEG Zarr

EEG dataset on auditory streaming and interoception, collected at the University of Chicago by Veillette, Joshi, Li, and Nusbaum. Data are organized in BIDS format (BrainVision files) and released under a CC0 license.

Participants

22

Channels

1 (other)

Size

7.25 GB

Version

v1.0.0

Updated

Jun 19, 2026

by John Veillette et al. OpenNeuro ds007949
on007895
Auditory Streaming and Interoception

EEG Zarr

EEG dataset on auditory streaming and interoception, collected at the University of Chicago and organized in BIDS format. The README gives few details of the experimental design, so the description rests mainly on the dataset name and metadata.

Participants

22

Channels

1 (other)

Size

7.25 GB

Version

v1.0.0

Updated

Jun 19, 2026

by John Veillette et al. OpenNeuro ds007895
on003082
Auditory Cortex Mapping Dataset

ANAT MEG Zarr

A single-subject MEG and MRI dataset for demonstrating an MEG-based auditory cortex mapping technique. The participant passively listened to 1795 iso-intensity pure tones spanning 100 Hz to about 21.5 kHz in quarter-octave steps while fixating on a cross. The dataset includes empty-room recordings, head-shape digitization, and anatomical MRI processed with FreeSurfer.

Participants

2

Citations

1

Size

15.5 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Jonathan Cote et al. OpenNeuro ds003082
nm000104
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography

EMG Zarr

NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection

Participants

108

Citations

1

Size

223 GB

Version

v2.0.0

Updated

Feb 23, 2026

by Viswanath Sivakumar et al.
nm000374
Electrophysiological signatures underlying variability in human memory consolidation: raw intracranial EEG (learning and sleep TMR)

iEEG

Stereo-EEG depth recordings from 11 patients with medically refractory temporal lobe epilepsy, collected at Sanbo Brain Hospital in Beijing. Recordings cover learning of object-location associations and targeted memory reactivation (TMR) with sounds during NREM sleep. The data were used to study electrophysiological signatures of variability in human memory consolidation. They are re-packaged in iEEG-BIDS from the authors' Zenodo release without filtering, resampling or re-referencing.

Participants

11

Size

17.0 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Wei Duan et al.
nm000199
Learning from label proportions for a visual matrix speller (ERP)

EEG Zarr

EEG recordings from 13 healthy participants performing a copy-spelling task with a visual 6x7 matrix ERP speller. The speller was designed for learning from label proportions (LLP), an unsupervised, calibrationless classification approach for ERP-based brain-computer interfaces. Two stimulus sequences with different target/non-target ratios allowed LLP to reconstruct mean target and non-target responses without labeled data. In the original online study, 84.5% of characters were spelled correctly on average without prior calibration.

Participants

13

Channels

31 (10-10)

Citations

46

HED

v8.4.0

Size

5.15 GB

Version

v1.0.3

Updated

Oct 8, 2026

by David Hübner et al.