Discover datasets

This dataset comprises magnetoencephalography (MEG) recordings from 35 Japanese native speakers (13 females, 22 males; mean age 21.7 ± 2.75 years) reading newspaper articles presented word-by-word. Part of the BCCWJ-Brain collection, it enables cross-modality comparisons of language processing by providing high temporal resolution neural data acquired using identical stimuli across MEG, fMRI, and EEG modalities. The dataset includes raw and preprocessed MEG data, anatomical MRI images, and detailed documentation of acquisition and analysis procedures. Note: Stimulus texts from the Balanced Corpus of Contemporary Written Japanese (BCCWJ) are not included due to copyright restrictions; users must register separately with BCCWJ to obtain access to the texts.

Participants

35

Size

166 GB

Version

v1.0.0

Updated

Jul 10, 2026

The CrossModal Study investigates how the brain prepares for and discriminates targets across sensory modalities using concurrent frequency-tagged visual and auditory stimulation. Participants performed a target discrimination task with cues indicating whether targets would be visual (Gabor patches) or auditory (tones), followed by a 3-second preparation interval with frequency-tagged stimuli (36 Hz visual, 40 Hz auditory). The dataset includes MEG recordings, behavioral responses, and eye-tracking data from healthy control participants performing the task with and without cross-modal distractors.

Participants

27

Size

132 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises magnetoencephalography (MEG) recordings from 23 participants viewing 40 validated emotional video stimuli, complemented by a large-scale behavioral survey (500 participants) and head digitization data. The dataset provides multi-faceted emotion annotations including Self-Assessment Manikin (SAM) ratings for valence and arousal, discrete emotion categories (PrEmo), and temporal scene selections, enabling investigation of emotion-specific neural signal patterns for brain signal-based emotion recognition research.

Participants

23

Size

88.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

HAD-MEEG is a multimodal neuroimaging dataset combining magnetoencephalography (MEG) and electroencephalography (EEG) recordings from 30 participants viewing 21,600 video clips across 180 human action categories. Designed to complement the previously released HAD-fMRI dataset, this resource leverages the millisecond-level temporal resolution of M/EEG to capture rapid neural dynamics underlying action recognition and social cognition, enabling integrated spatiotemporal analysis of brain responses to visual action stimuli.

Participants

32

Channels

62 (10-10)

Size

221 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset comprises raw magnetoencephalography (MEG) recordings from 23 healthy adult participants performing an n-item delayed temporal reproduction task, designed to investigate the neural dynamics of working memory load indexed by alpha power. Participants maintained sequences of one or three temporal intervals in memory and reproduced them upon cue. The dataset includes concurrent electro-oculogram and electrocardiogram recordings, structural MRI for source reconstruction, and resting-state MEG, providing a comprehensive resource for studying neural mechanisms of working memory and auditory-motor processing.

Participants

24

Size

136 GB

Version

v1.0.0

Updated

Jul 10, 2026

The SINGSING dataset comprises simultaneous EEG and MEG recordings from twenty adult participants exposed to harmonic complex sound stimuli of varying frequencies in an auditory oddball paradigm. This dataset enables comparative analysis of pre-attentive pitch processing at both sensor and source levels across complementary neuroimaging modalities, providing insights into auditory cortical responses to complex acoustic stimuli.

Participants

19

Size

10.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This longitudinal neuroimaging study investigates neural mechanisms of motor skill learning, consolidation, and retention using magnetoencephalography (MEG) combined with structural MRI. Thirty-one healthy right-handed adults performed a sequential finger-tapping task during an initial training session followed by retest sessions at approximately 24 hours and 30 days post-training. The dataset includes continuous MEG recordings, high-resolution anatomical MRI, behavioral performance metrics, eye-tracking, pupillometry, and electromyography data synchronized across all sessions.

Participants

31

Size

95.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

MEG-SCANS is a comprehensive magnetoencephalography dataset comprising raw and MaxFiltered recordings from 24 German-speaking participants engaged in auditory experiments. The dataset includes approximately one hour of stimuli per participant consisting of audiobooks, sentences from the Oldenburger Matrix Sentence Test at varying intelligibility levels for speech reception threshold assessment, and chirp stimuli for signal quality evaluation. Each participant's data includes raw and processed MEG recordings, empty-room recordings, structural MRI, behavioral audiograms, and corresponding audio stimulus materials, organized according to BIDS standards to facilitate large-scale encoding/decoding analyses of neural responses to speech.

Participants

24

Size

204 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains raw MEG recordings, anatomical T1-weighted MRI scans, and behavioral data from an audiovisual speech memory study. Participants performed a three-phase task involving encoding of audiovisual speech movies with synchrony judgments, a distractor task, and retrieval of speech memories cued by speaker faces. The study investigates how neocortical and hippocampal theta oscillations support audiovisual integration and memory replay of speech information.

Participants

30

Size

172 GB

Version

v1.0.0

Updated

Jul 10, 2026

A multi-modal neuroimaging dataset combining structural MRI, magnetoencephalography (MEG), and electroencephalography (EEG) recordings from multiple subjects during median nerve electrical stimulation and motor response tasks. Participants performed rapid left index finger lifts in response to right median nerve stimuli, providing a comprehensive resource for investigating somatosensory processing and motor control mechanisms.

Participants

5

Size

3.07 GB

Version

v1.0.0

Updated

Jul 10, 2026