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This dataset comprises raw magnetoencephalography (MEG) recordings, T1-weighted anatomical MRI scans, and behavioural logfiles collected during an audiovisual speech memory paradigm. Participants performed encoding, distractor, and retrieval tasks designed to probe theta oscillatory dynamics underlying audiovisual integration and memory replay of speech content. The data support analyses of neocortical and hippocampal theta oscillations reported in an associated Journal of Neuroscience publication.

Participants

30

Citations

7

Size

172 GB

Version

v1.0.0

Updated

Aug 19, 2026

3M-CPSEED is an EEG dataset capturing brain activity from 20 healthy native Chinese speakers performing overt, silent-intended, and imagined speech production of Chinese Pinyin syllables. The dataset targets speech neurophysiology research, particularly the neural correlates of pinyin articulation across speech modes, and supports transfer learning studies for other alphabetic languages.

Participants

20

Channels

32 (10-10)

Citations

3

Size

15.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This multimodal dataset contains fMRI and EEG data from 69 participants examining the role of REM sleep in the neural differentiation of hippocampal memory representations. Each participant completed three fMRI scan sessions and one EEG session, during which either nap-based sleep or quiet wakefulness data were recorded depending on experimental condition. The dataset supports investigation of how sleep-related neural processes contribute to memory consolidation and differentiation in the hippocampus.

Participants

69

Channels

64 (other)

Citations

2

Size

650 GB

Version

v1.0.0

Updated

Aug 19, 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

Citations

1

Size

30.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 54 healthy participants performing a P300-based brain-computer interface speller task, designed to investigate BCI illiteracy. The study includes 62 EEG channels and 4 EMG channels sampled at 1000 Hz, with participants completing offline training and online test phases using a 36-symbol row-column speller paradigm. The dataset achieved 96.7% accuracy with an 11.1% BCI illiteracy rate, providing a comprehensive resource for evaluating P300-based BCI performance and individual differences in BCI competence.

Participants

54

Channels

62 (10-05)

Citations

100

HED

v8.4.0

Size

132 GB

Version

v1.0.4

Updated

Aug 18, 2026

This dataset examines the effects of theta transcranial alternating current stimulation (tACS) on working memory performance and associated EEG activity. Participants received either verum or sham 20-minute tACS at 1 mA and 6 Hz over Fpz-CPz, followed by working memory tasks requiring mental manipulation or retention of memory items, while EEG was recorded. Resting-state EEG (eyes closed and eyes open) was also collected prior to the working memory task.

Participants

25

Channels

129 (egi-geodesic)

Citations

3

Size

61.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains electroencephalography (EEG) recordings from a study investigating how expectation modulates repetition suppression of neural responses to nociceptive (pain-related) stimuli. It provides raw EEG data organized in BIDS format, intended to support analyses of expectation effects on cortical processing of repeated nociceptive stimulation.

Participants

36

Channels

32 (10-10)

Size

42.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.

Participants

21

Size

68.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

MIPDB is a multimodal neuroimaging resource comprising high-density EEG (128-channel, 500 Hz) and eye-tracking data collected from 111 participants spanning childhood to adulthood. Participants completed a standardized battery of cognitive and perceptual tasks including resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning, and symbol search. This dataset enables investigation of information-processing maturation across human development.

Participants

111

Size

110 GB

Version

v1.0.0

Updated

Aug 14, 2026