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Magnetoencephalography (MEG) recordings from 13 participants who viewed and heard audiovisual sequences while performing causality judgment and temporal order judgment tasks. The same six audiovisual sequences were used in both tasks, which allowed endogenous task demands to be manipulated while sensory input stayed constant. Auditory-only and visual-only localizer blocks are also included, along with anatomical MRI, EOG, ECG and empty-room recordings. The dataset supports research on multisensory correlation computations in the human brain.

Participants

14

Citations

28

Size

75.7 GB

Version

v1.0.0

Updated

Jun 22, 2026

Raw EEG recordings from 27 participants who watched 10-second clips extracted from movies they had previously seen. For each clip, participants reported whether they recognised the movie and whether they remembered watching it before. When a clip was recognised or remembered, it was shown a second time and participants marked the moments that prompted recognition with a mouse click. The dataset supports research on memory and recognition of naturalistic video stimuli.

Participants

27

Channels

64 (10-10)

Size

24.3 GB

Version

v1.0.0

Updated

Jun 28, 2026

Raw magnetoencephalography (MEG) recordings from 23 healthy adults performing an n-item delayed temporal reproduction task. Participants held sequences of one or three empty auditory intervals in memory and then reproduced them by button press. The dataset also includes EOG, ECG, digitized head and electrode positions, a two-minute eyes-open resting-state recording, and individual anatomical MRI. It supports research on working memory dynamics, auditory processing, motor responses and resting activity.

Participants

24

Citations

1

Size

136 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains fMRI and EEG recordings from 69 participants examining the role of rapid eye movement (REM) sleep in the neural differentiation of memories in the hippocampus. Each participant completed three fMRI scans and one EEG session, which contained either nap sleep data or quiet wake data depending on the participant's condition.

Participants

69

Channels

64 (other)

Citations

4

Size

650 GB

Version

v1.0.0

Updated

Jun 29, 2026

EEG dataset on auditory streaming and interoception, collected at the University of Chicago by Veillette, Joshi, Li, and Nusbaum. Data are organized in BIDS format (BrainVision files) and released under a CC0 license.

Participants

22

Channels

1 (other)

Size

7.25 GB

Version

v1.0.0

Updated

Jun 19, 2026

This dataset contains EEG recordings from 127 young adults (18-30 years) together with retrospective indicators of childhood family socioeconomic status (SES) and adult SES measures, including education, income, food security, and home and neighborhood characteristics. EEG was recorded during ERP CORE tasks or adaptations of them, which target perception, cognition, and action. The dataset also includes an adult ADHD symptoms checklist, so that links between SES, ADHD symptoms, and neural activity can be examined in a socioeconomically diverse sample.

Participants

127

Channels

27

Citations

8

Size

10.6 GB

Version

v1.0.0

Updated

Jun 28, 2026

This BIDS derivative dataset provides sorted single-unit (microwire) recordings from the human medial temporal lobe (hippocampus, entorhinal cortex, amygdala) of nine patients with drug-resistant focal epilepsy performing a modified Sternberg verbal working memory task. It contains 1526 units with spike times per trial, mean and standard deviation waveforms, electrode and anatomical mapping, and trial properties. Subject, session and trial labels are aligned to OpenNeuro ds004752 / NEMAR on004752, which hosts the scalp and intracranial EEG of the same patients.

Participants

9

Size

16.2 GB

Version

v1.0.0

Updated

Oct 8, 2026

A collection of electroencephalography (EEG) recordings from 15 students (8 male, 7 female, aged 21-23) performing essay-writing tasks. The task was designed to assess cognitive conditions such as creativity, memory, and critical thinking under different generative AI interaction conditions. The dataset supports studies of brain connectivity during student learning processes with Gen-AI.

Participants

15

Channels

14 (other)

Size

1.17 GB

Version

v1.0.0

Updated

Sep 8, 2026