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This high-density EEG dataset captures brain activity during guided emotional imagery across 15 distinct emotion states. Participants listened to voice-guided scenarios designed to evoke emotions with varying valence (positive and negative) while their neural activity was recorded with eyes closed. The dataset includes preprocessed EEG data with artifact correction and high-pass filtering, providing a resource for investigating neural correlates of emotion imagination and brain state dynamics during emotional experiences.

Participants

34

Channels

224 (biosemi)

Citations

138

Size

36.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Bilingual sEEG Speech Dataset ============================================= Overview -------- Intracranial EEG (sEEG) recordings from 2 epilepsy…

Participants

2

Size

1.87 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains MEG recordings from a study investigating how the human brain compresses regular binary sound sequences in working memory, testing the language of thought hypothesis. Participants listened to hierarchically structured sequences of two sounds varying in complexity, quantified via minimal description length, while occasional deviant sounds probed their internalized knowledge of sequence structure. The study aimed to characterize how brain activity relates to sequence complexity and predictive processing.

Participants

19

Citations

5

Size

23.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

…https://github.com/maddoxlab/Music_vs_Speech_abr ## Format This dataset is…

Participants

22

Channels

34 (10-10)

Citations

21

Size

213 GB

Version

v1.0.0

Updated

Jul 10, 2026

…dataset is a Chinese imagined speech dataset with five participants, identified as…

Participants

5

Size

262 GB

Version

v1.0.0

Updated

Aug 19, 2026

…If you want the speech waveform aligned to the time the subject…

Participants

32

Channels

62 (10-10)

Size

136 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.

Participants

9

Citations

4

Size

14.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech

Participants

121

Size

44.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech

Participants

110

Size

17.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Aug 19, 2026