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A resting-state EEG dataset acquired from 128 channels at 1000 Hz sampling rate using an Electrical Geodesics amplifier system, complemented by structural MRI data from a GE MR750 scanner. The dataset includes preprocessed EEG signals with artifact removal and channel interpolation, as well as high-resolution anatomical imaging. This multimodal neuroimaging resource enables investigation of whole-brain electrophysiological functional connectivity dynamics during rest.

Participants

34

Channels

128 (other)

Size

3.00 GB

Version

v1.0.0

Updated

Jul 10, 2026

NeuroMorph is a high-temporal resolution magnetoencephalography (MEG) dataset comprising recordings from 24 subjects totaling over 17 hours of data acquired using a KIT/Yokogawa system with 208 magnetometer channels. The dataset is designed to support morpheme-based linguistic analysis and investigation of language and cognitive processes through visual presentation paradigms, providing a resource for studying neural mechanisms of language processing at fine temporal resolution.

Participants

24

Size

140 GB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds004022

Participants

7

Channels

18

Citations

2

Size

635 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains raw EEG recordings investigating the temporal dynamics of food representation in the human brain. The study employs electroencephalography to characterize how food-related information is processed and represented across different time windows during neural processing. The data are organized in BIDS format to facilitate reproducibility and secondary analyses.

Participants

20

Size

27.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalography (EEG) recordings collected to investigate the precise cortical contributions to feedback sensorimotor control during reactive balance tasks. The data supports research examining how the brain processes sensory feedback and generates motor commands to maintain postural stability in response to perturbations.

Participants

17

Channels

32 (10-10)

Size

351 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.

Participants

9

Size

297 MB

Version

v1.0.0

Updated

Jul 10, 2026