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This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.

Participants

31

Channels

129 (egi-geodesic)

Citations

5

Size

153 GB

Version

v1.0.0

Updated

Jul 22, 2026

…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…

Participants

56

Channels

67 (10-10)

Citations

1

Size

22.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

A synchronized multimodal neuroimaging dataset containing concurrent fMRI and MEG recordings from 12 Mandarin Chinese speakers during naturalistic story listening, supplemented with high-resolution structural imaging, diffusion MRI, and resting-state fMRI. The dataset includes rich linguistic annotations of stimuli encompassing word frequencies, syntactic structures, temporal alignments, and embeddings from multiple pre-trained language models, enabling comprehensive investigation of neural mechanisms underlying language processing.

Participants

12

Citations

6

Size

1.36 TB

Version

v1.0.0

Updated

Jul 22, 2026

…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…

Participants

56

Channels

67 (10-10)

Citations

2

Size

16.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

…in the hippocampus and entorhinal cortex. Stimulation parameters are included in the…

Participants

22

Size

69.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

MEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.

Participants

27

Citations

46

Size

99.3 GB

Version

v1.0.1

Updated

Jul 10, 2026

…in the hippocampus and entorhinal cortex. Stimulation parameters are included in the…

Participants

20

Size

26.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains electroencephalography (EEG) recordings collected during reactive balance perturbations to investigate cortical contributions to feedback-driven sensorimotor control. The data support analyses of how specific cortical regions contribute to reactive postural responses following balance disturbances. It is intended to inform understanding of the neural mechanisms underlying balance control and their potential relevance to rehabilitation research.

Participants

17

Channels

32 (10-10)

Citations

1

Size

351 MB

Version

v1.0.0

Updated

Aug 19, 2026

…On the motor cortex stimulation amplitude was sometimes reduced to 1 or…

Participants

1

Citations

3

Size

620 MB

Version

v1.0.0

Updated

Jul 10, 2026

This magnetoencephalography (MEG) dataset comprises neuroimaging data collected to establish standardized protocols for cross-site pooling of MEG data. The dataset demonstrates the application of BIDS formatting to MEG neuroimaging, facilitating data harmonization and reproducible analysis across multiple research institutions.

Participants

9

Citations

17

Size

77.2 GB

Version

v1.0.0

Updated

Jul 10, 2026