Discover datasets

This magnetoencephalography (MEG) dataset comprises human recordings during a sequential conflict task, designed to investigate neural mechanisms of conflict detection and decision-making. The dataset includes recordings from both healthy controls and patients with movement disorders, enabling investigation of cortico-subthalamic interactions and oscillatory dynamics in the beta frequency band during cognitive conflict processing.

Participants

13

Size

58.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises magnetoencephalography (MEG) recordings from a CTF phantom used to evaluate and compare deep brain stimulation (DBS) artifact rejection methods. The phantom recordings serve as a controlled reference for assessing the comparative performance of various artifact rejection techniques in MEG data contaminated by DBS-related artifacts, providing a standardized benchmark for methodological validation.

Participants

2

Size

20.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This MEG dataset contains neural recordings from human subjects during memory and localizer phases of an experiment investigating memory replay and sequential neural activity patterns. Participants viewed images from multiple stimulus categories and story-ending stimuli while MEG signals were recorded. The dataset includes detailed trigger information for event marking and timing, enabling analysis of neural sequenceness and memory-related brain activity.

Participants

25

Size

204 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains neuroimaging data from an experiment investigating the neural processing of numbers, letters, and false fonts presented as single items or strings. The study employs event-related experimental design with two runs, each utilizing distinct stimulus categories marked by specific trigger codes to enable precise temporal analysis of brain responses to different visual stimuli. Data were acquired using magnetoencephalography (MEG).

Participants

25

Size

310 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.

Participants

22

Size

167 GB

Version

vv1.0.0

Updated

Jul 10, 2026

OcularLDT is a neuroimaging dataset containing eye-tracking and MEG recordings acquired during a lexical decision task with ocular monitoring. The dataset provides synchronized measurements of oculomotor behavior and brain activity, enabling investigation of the relationship between eye movements and linguistic processing during word recognition tasks.

Participants

19

Size

35.0 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains MEG recordings from a binocular rivalry experiment conducted in early 2014. Participants were presented with competing visual patterns while neural activity was recorded, with event markers capturing trial structure, stimulus presentations, and behavioral responses including manual tapping and perceptual reports of rivalry dominance. Anatomical MRI data is also included for each participant.

Participants

11

Size

81.7 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The OMEGA Resting State Sample Dataset comprises magnetoencephalography (MEG) recordings from 5 subjects during 5-minute eyes-open resting state sessions acquired at the Montreal Neurological Institute using a CTF 275 system. The dataset includes high-resolution MEG data (297+ channels at 2400 Hz sampling rate), structural T1-weighted MRI images processed with FreeSurfer, 3D head digitization, and fiducial point information organized according to the MEG-BIDS specification. This resource serves as a reference dataset for MEG preprocessing, analysis methodology development, and neuroimaging research.

Participants

6

Size

10.5 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A single-subject MEG dataset acquired during an auditory oddball task using a CTF 275 system at 2400 Hz sampling rate. The dataset includes two 6-minute runs with 200 standard tones (440 Hz) and 40 deviant tones (554.4 Hz) presented binaurally, along with behavioral responses, empty room recordings, anatomical MRI, and detailed head digitization. This dataset serves as a tutorial example for the Brainstorm neuroimaging software and is widely used for MEG analysis demonstrations.

Participants

2

Size

2.29 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.

Participants

2

Size

1.68 GB

Version

vv1.0.0

Updated

Jul 10, 2026