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on005021
Tilt Illusion by Phase

EEG Zarr

EEG recordings from 36 participants performing an orientation discrimination task in a visual tilt illusion paradigm. A central target grating, titrated to appear vertical on average, was surrounded by an annular grating tilted by ±30 degrees. The dataset supports analysis of prestimulus EEG correlates, including alpha oscillation power and phase, of increased or decreased tilt illusion strength.

Participants

36

Channels

64

Size

83.2 GB

Version

v1.0.0

Updated

Jun 26, 2026

by Jessica G. Williams et al. OpenNeuro ds005021
on006126
TDCS Modulation of Visual Cortex in Motor Imagery

EEG Zarr

…The TDCS Modulation of Visual Cortex in Motor Imagery dataset was created…

Participants

5

Channels

3 (other)

Size

1.08 GB

Version

v1.0.0

Updated

May 13, 2026

by Anthony Mensah et al. OpenNeuro ds006126
nm000369
Sensorimotor alpha and beta ECoG during movement imagery (Stolk et al. 2019, shared participants S4-S6)

iEEG

Subdural electrocorticography (ECoG) recorded at the University Medical Center Utrecht from three epilepsy patients (S4-S6) who imagined grasping a cylinder with the left or right hand. The data are the subset of participants from Stolk et al. (2019) who gave permission to share, and they support investigation of dissociated alpha and beta rhythmic activity in the human sensorimotor system. Data are released as unprocessed trial segments, stored as epoched recordings with electrode positions and author-provided atlas labels.

Participants

3

Size

663 MB

Version

v1.0.0

Updated

Oct 8, 2026

by Arjen Stolk et al.
on005307
Laser-evoked potentials in the human spinal cord and cortex

EEG Zarr

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005307-blue…

Participants

7

Channels

72 (other)

Size

18.6 GB

Version

v1.0.0

Updated

Jun 26, 2026

by Birgit Nierula et al. OpenNeuro ds005307
on005811
NOD-EEG

EEG Zarr

NOD-EEG is an electroencephalography dataset of human responses to naturalistic ImageNet object images. It extends the Natural Object Dataset-fMRI (NOD-fMRI) by recording EEG, and MEG in a companion dataset, from the same subjects viewing the same stimuli. Together the three modalities support study of object recognition with both high spatial and high temporal resolution. The dataset includes raw BIDS data, preprocessed continuous data, epoched data, and detailed trial-level metadata.

Participants

19

Channels

62 (10-10)

Citations

5

Size

24.3 GB

Version

v1.0.0

Updated

Jun 28, 2026

by Guohao Zhang et al. OpenNeuro ds005811
on006036
A complementary dataset of open-eyes EEG recordings in a photo-stimulation setting from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects

EEG Zarr

This dataset provides eyes-open scalp EEG recordings acquired during intermittent photic stimulation (5 to 30 Hz in 5 Hz steps) from 36 participants with Alzheimer's disease, 23 with frontotemporal dementia, and 29 healthy controls. It complements an earlier eyes-closed resting-state dataset of the same cohort, and participant numbers match between the two. Raw and preprocessed (filtered, ASR- and ICA-cleaned) recordings are provided in BIDS format alongside clinical MMSE scores and demographics.

Participants

88

Channels

19 (10-20)

Citations

21

Size

2.11 GB

Version

v1.0.0

Updated

Jun 28, 2026

by Aimilia Ntetska et al. OpenNeuro ds006036
nm000175
fNIRS Finger Tapping

NIRS

…Sensors are placed over the motor cortex as described in the montage…

Participants

5

Size

47.5 MB

Version

v1.0.0

Updated

Jun 1, 2026

by Robert Luke et al.
on008083
Hierarchical Priors in Perceptual Uncertainty and Psychosis Proneness - A Random-Dot Kinematogram task with low- and high-level priors

EEG Zarr

EEG-BIDS dataset of cue-locked EEG recordings and event annotations from 43 neurotypical adults performing a random-dot kinematogram motion discrimination task. The task dissociates low-level priors (implicitly learned tone-motion contingencies) from high-level priors (a cover story about tinted glasses) against a neutral baseline. The data support analyses of hierarchical priors with signal detection theory, drift-diffusion modeling, and occipital oscillatory and aperiodic EEG activity, alongside psychosis-proneness and psychological flexibility questionnaires.

Participants

43

Channels

31 (10-10)

Size

8.76 GB

Version

v1.0.0

Updated

Jul 2, 2026

by Jonathan Buchholz et al. OpenNeuro ds008083
nm000383
Medial and lateral orbitofrontal cortex in approach-avoidance decisions (Starkweather et al., 2026): SEEG high-frequency activity, 6 patients (derivative)

iEEG

…avoidance decisions in human orbitofrontal cortex: SEEG high-frequency activity (derivative) DERIVATIVE…

Participants

6

Size

11.3 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Clara Kwon Starkweather et al.
nm000229
Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing

ANAT MEG Zarr

MEG-MASC is a curated set of raw magnetoencephalography recordings from 27 English speakers who listened to about two hours of naturalistic stories drawn from the Manually Annotated Sub-Corpus (MASC). Each participant completed two sessions with four fictional stories, interleaved with random word lists and comprehension questions. Word and phoneme onsets and offsets are time-stamped in the event files, and the data are organized in BIDS. The dataset serves as a benchmark for large-scale encoding and decoding analyses of temporally resolved brain responses to speech.

Participants

27

Citations

52

Size

99.7 GB

Version

v1.0.1

Updated

Jun 3, 2026

by Laura Gwilliams et al.