Discover datasets

This dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.

Participants

258

Size

477 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises magnetoencephalography (MEG) recordings from 23 participants viewing 40 validated emotional video stimuli, complemented by a large-scale behavioral survey (500 participants) and head digitization data. The dataset provides multi-faceted emotion annotations including Self-Assessment Manikin (SAM) ratings for valence and arousal, discrete emotion categories (PrEmo), and temporal scene selections, enabling investigation of emotion-specific neural signal patterns for brain signal-based emotion recognition research.

Participants

23

Size

88.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises human electroencephalography recordings from 20 participants performing a visual attention task involving rapid sequences of overlaid oriented gratings. Participants detected target gratings while manipulating both attention (cued by color) and temporal expectation (predictable vs. unpredictable stimulus onset timing). The study dissociates feature-based attention effects from temporal expectation and target-related decision processes, providing insights into the temporal dynamics of selective attention.

Participants

20

Size

30.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains magnetoencephalography (MEG) and structural magnetic resonance imaging (MRI) data from adolescent participants with major depressive disorder and healthy controls during a monetary gambling mood induction task and resting state. The study investigates electrophysiological correlates of mood and reward dynamics in human adolescents through pre-registered analyses of task-based and resting-state neuroimaging data.

Participants

51

Size

123 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

Size

1.35 TB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains magnetoencephalography (MEG) recordings from participants listening to hierarchically structured binary sound sequences of varying complexity. The study tests the language of thought hypothesis by examining how the human brain compresses regular sequences in working memory using recursive structures. Brain activity was recorded while participants processed sequences requiring different levels of complexity (transition probabilities, chunking, or nested structures) and responded to occasional deviant sounds probing sequence knowledge. Note: This dataset contains MEG data only; fMRI data from the same study are archived separately.

Participants

19

Size

23.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a paired associates learning task conducted across multiple clinical sites. Participants studied word pairs, performed distractor arithmetic tasks, and completed cued recall tests while neural activity was recorded. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information and standardized voltage scaling across multiple recording systems.

Participants

72

Size

167 GB

Version

v1.0.0

Updated

Jul 10, 2026