Discover datasets

This derivative dataset repackages the public Dryad release accompanying Siebenhühner et al. (2020). It provides per-subject connectivity matrices computed from 10-minute resting-state SEEG (59 epilepsy patients) and MEG (19 healthy participants, plus a 10-participant eyes-open/eyes-closed cohort) recordings. The matrices cover phase synchrony (PLV, wPLI), cross-frequency phase synchrony, phase-amplitude coupling and amplitude-envelope coupling, each with surrogate values. Supporting files, neuropsychological scores and figure plot data are also included. Raw recordings are not included.

Participants

84

Size

13.1 GB

Version

v1.0.0

Updated

Oct 8, 2026

Magnetoencephalography (MEG) recordings from 12 participants listening to continuous narrative speech, plus an empty-room recording, organized in BIDS format. The dataset was collected to test whether speech processing relies on local, context-independent predictive models, unified predictive models, or both in parallel. It includes stimulus annotations, gammatone features, and derivatives such as FreeSurfer outputs, predictor objects, and processing scripts.

Participants

13

Citations

80

Size

41.6 GB

Version

v1.0.0

Updated

Sep 8, 2026

BCCWJ-MEG contains magnetoencephalography recordings from 35 right-handed native Japanese speakers who read Japanese newspaper articles word by word using rapid serial visual presentation. It is part of the BCCWJ-Brain collection, which also includes fMRI and EEG datasets acquired from separate participant groups with the same stimuli, enabling cross-modality comparison of language processing. Raw data, T1-weighted anatomical images, and preprocessed derivatives are provided.

Participants

35

Size

166 GB

Version

v1.0.0

Updated

Jul 6, 2026

This dataset contains MEG recordings, with eye-tracking data acquired alongside, from healthy adults performing a cross-modal cue-target discrimination task. Participants were cued to prepare for an auditory or visual target. During a 3-second waiting interval, a 36 Hz frequency-tagged visual stimulus and a 40 Hz amplitude-modulated tone were presented. Targets appeared alone in one block and alongside a distractor from the other modality in the other block. The data were collected to study alpha oscillations and inhibition of early sensory processing during target preparation.

Participants

27

Citations

1

Size

132 GB

Version

v1.0.0

Updated

Jun 30, 2026

This dataset supports brain signal-based emotion recognition. It combines magnetoencephalography (MEG) recordings from 23 participants who viewed 40 validated emotional video clips with a large-scale online behavioral survey of 500 respondents rating the same clips. Labels include Self-Assessment Manikin valence and arousal, discrete PrEmo emotion categories, and temporal highlight scene selections. Head digitization files with anatomical landmarks and HPI coil coordinates are provided for co-registration.

Participants

23

Size

88.8 GB

Version

v1.0.0

Updated

Jun 30, 2026

HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset on human action recognition. It extends the Human Action Dataset fMRI resource (HAD-fMRI) and was recorded in the same 30 participants with the same stimuli, 21,600 video clips spanning 180 categories of human action. The millisecond temporal resolution of M/EEG complements the spatial precision of fMRI, enabling spatiotemporal study of the neural mechanisms of action recognition.

Participants

32

Channels

62 (10-10)

Size

221 GB

Version

v1.0.0

Updated

Jun 30, 2026

Raw magnetoencephalography (MEG) recordings from 23 healthy adults performing an n-item delayed temporal reproduction task. Participants held sequences of one or three empty auditory intervals in memory and then reproduced them by button press. The dataset also includes EOG, ECG, digitized head and electrode positions, a two-minute eyes-open resting-state recording, and individual anatomical MRI. It supports research on working memory dynamics, auditory processing, motor responses and resting activity.

Participants

24

Citations

1

Size

136 GB

Version

v1.0.0

Updated

Jun 29, 2026

SINGSING is a simultaneous EEG and MEG dataset from twenty adult participants who listened to harmonic complex sounds that varied in frequency in an auditory oddball paradigm. It supports investigation of pre-attentive pitch processing at sensor and source levels, and allows comparison of EEG and MEG recordings acquired at the same time.

Participants

19

Citations

2

Size

11.2 GB

Version

v1.0.0

Updated

Jun 29, 2026

A longitudinal MEG dataset investigating brain activity during early skill learning, overnight consolidation, and longer-term retention in 31 healthy right-handed adults. Participants performed a sequential finger tapping task with the non-dominant left hand across up to three MEG sessions (initial training, about 24 hours later, and about 30 days later), with resting-state scans before and after practice. Anatomical MRI, behavioral responses, eye tracking and pupillometry, and forearm EMG were also recorded and synchronized with MEG.

Participants

31

Size

95.8 GB

Version

v1.0.0

Updated

Jun 29, 2026

MEG-SCANS provides raw and MaxFiltered magnetoencephalography recordings from 24 German-speaking participants who listened to about one hour of auditory stimuli. The stimuli were two audiobooks, 120 Oldenburg Matrix Sentence Test (OLSA) sentences at varying intelligibility levels, and short up-chirps for signal quality assessment. The dataset also includes empty-room recordings, structural MRI, audiograms, speech reception threshold results, and audio stimulus material. It is organized in BIDS and intended as a benchmark for encoding and decoding analyses of brain responses to speech.

Participants

24

Citations

3

Size

204 GB

Version

v1.0.0

Updated

Jun 29, 2026