Discover datasets

MULTI-CLARID is a combined fMRI/EEG dataset acquired during an auditory category learning task and resting state. It includes 63-channel EEG with ECG, EOG, facial EMG and skin conductance, plus respiration and finger-pulse recordings, and T1-weighted and UTE anatomical MR scans. Five participants' datasets containing the multi-dimensional category learning experiment are currently shared.

Participants

34

Channels

72 (10-10)

Size

6.43 GB

Version

v1.0.0

Updated

Jun 27, 2026

…91.5 ## BCI Application - **Applications**: communication, speller, message selection - **Environment**: laboratory - **Online…

Participants

11

Channels

64 (10-10)

Citations

83

HED

v8.4.0

Size

11.8 GB

Version

v1.0.3

Updated

Oct 8, 2026

Raw MEG dataset with T1-weighted anatomical scans and behavioural logfiles from an audiovisual speech memory experiment. Participants completed repeated blocks of encoding (audiovisual synchrony detection on speech movies), a distractor task, and cued retrieval of the auditory speech associated with a speaker's face. The data support analyses of neocortical and hippocampal theta oscillations in audiovisual integration and memory replay.

Participants

30

Citations

7

Size

172 GB

Version

v1.0.0

Updated

Jun 28, 2026

…0.86 ## BCI Application - **Applications**: communication - **Environment**: laboratory - **Online feedback**: False ## Tags…

Participants

15

Channels

64 (10-10)

Citations

5

HED

v8.4.0

Size

23.5 GB

Version

v1.0.5

Updated

Oct 8, 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

…0.517 ## BCI Application - **Applications**: communication - **Online feedback**: False ## Tags - **Pathology**: Healthy…

Participants

13

Channels

31 (10-10)

Citations

2

HED

v8.4.0

Size

2.83 GB

Version

v1.0.0

Updated

Jun 2, 2026

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

This derivative dataset repackages the authors' public Dryad release of phase-synchronization and detrended fluctuation analysis (DFA) results computed from resting-state SEEG (68 drug-resistant focal epilepsy patients) and MEG (52 healthy subjects, 192 sessions). It includes per-patient complex phase-locking value matrices, DFA exponents, and contact masks, along with group-level MEG and simulated hierarchical Kuramoto model data. The data support the finding that brain criticality predicts individual levels of inter-areal synchronization. Raw recordings are not included.

Participants

68

Size

3.78 GB

Version

v1.0.0

Updated

Oct 8, 2026

…50.4 ## BCI Application - **Applications**: communication - **Environment**: laboratory - **Online feedback**: False ## Tags…

Participants

9

Channels

8 (10-10)

Citations

92

HED

v8.4.0

Size

196 MB

Version

v1.0.3

Updated

Oct 8, 2026

High-density (256-channel) electrocorticography recorded at UCSF from patients undergoing clinical treatment for epilepsy while they read aloud consonant-vowel syllables from a list. The dataset comprises 31 recording blocks across four subject codes, with hand-marked annotations of syllable identity, onset, consonant-vowel transition and offset, plus rest baseline periods and anatomical electrode labels. It supports study of the functional organization of human ventral sensorimotor cortex during speech articulation and is organized as iEEG-BIDS with source NWB files retained unchanged.

Participants

4

Size

104 GB

Version

v1.0.0

Updated

Oct 8, 2026