Discover datasets

This dataset contains 128-channel EEG recordings acquired while participants produced one of five color words (green, magenta, orange, violet, yellow) under overt, minimally overt, and covert speech conditions. Each trial comprises five repetitions of the same word. Auxiliary channels (EOG, orbicularis oris EMG, microphone, display, trigger) support delineating neural versus non-neural contributions to EEG-based speech decoding. Sessions include calibration data for decoder training and online real-time decoding.

Participants

3

Channels

128 (other)

Size

1.62 GB

Version

v1.0.0

Updated

Jun 30, 2026

…music and speech stimuli using deconvolution method. Data collected from Jun to…

Participants

22

Channels

34 (10-10)

Citations

27

Size

213 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset contains functional near-infrared spectroscopy (fNIRS) recordings collected while participants performed spatial attention tasks during complex auditory scene analysis. It supports research on decoding the focus of spatial attention from hemodynamic signals. The data are organized in BIDS format and accompany a published data paper.

Participants

12

Size

2.19 GB

Version

v1.0.0

Updated

Jun 18, 2026

…chirp'), and regressors for the deconvolution ('pulse_inds' are the pulse indices…

Participants

62

Channels

3 (other)

Size

94.3 GB

Version

v1.0.0

Updated

Jul 1, 2026

Raw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.

Participants

19

Citations

2

Size

18.9 GB

Version

v1.0.0

Updated

Jun 17, 2026

…The stimuli files contain the audio ('audio'), and regressors for the deconvolution…

Participants

25

Channels

2

Citations

6

Size

37.8 GB

Version

v1.0.0

Updated

Jun 27, 2026

FACE-DEC is an OPM-MEG (optically pumped magnetometer magnetoencephalography) dataset for studying face perception through multivariate decoding and representational similarity analysis. The release includes analysis code for preprocessing (face_1_prep), decoding (face_2_dec), RSA (face_3_rsa), statistics (face_4_stat), and Bayesian model selection (face_6_bayes.m), with a main entry script (face_0_main). Individual facial point clouds and structural MRIs were not collected because optical scanning equipment was unavailable, so all analyses were performed at the whole-brain sensor level. Data collection was approved by the Institutional Review Board of Peking University.

Participants

21

Size

27.6 GB

Version

v1.0.0

Updated

Jun 26, 2026

…The stimuli files contain the audio ('x'), and regressors for the deconvolution…

Participants

15

Channels

2

Citations

8

Size

19.1 GB

Version

v1.0.0

Updated

Jun 26, 2026

A functional near-infrared spectroscopy (fNIRS) time-series dataset converted to BIDS format from a MATLAB file containing hemoglobin concentration time series (HbO) from 18 subjects across two sessions, with ICA-based denoising applied. The dataset is a BIDS conversion of an original deposit and includes NIRS recordings and associated metadata.

Participants

18

Size

1.53 GB

Version

v1.0.0

Updated

Jun 19, 2026

A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.

Participants

19

Citations

80

HED

v8.1.0

Size

106 GB

Version

v1.0.0

Updated

Mar 9, 2026