Discover datasets

This dataset contains intracranial EEG recordings and behavioral events from a delayed free recall task with open-loop electrical stimulation delivered during word encoding. Data were collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Stimulation was applied to single electrodes in the hippocampus or entorhinal cortex during alternating two-word blocks in a subset of study lists, enabling investigation of stimulation effects on memory encoding.

Participants

38

Size

64.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains anonymized raw magnetoencephalography (MEG) recordings from 23 healthy adult participants performing an n-item delayed temporal reproduction task, designed to probe working memory for temporal durations. Alongside task MEG data, the dataset includes EOG and ECG recordings, digitized sensor and fiducial coordinates, a resting-state MEG recording, and individual high-resolution structural MRI scans for source reconstruction. The data support research on neural dynamics underlying working memory, auditory processing, and motor responses in the healthy adult brain.

Participants

24

Citations

1

Size

136 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises fMRI, EEG, ECG, and behavioural data from a study examining how Targeted Memory Reactivation (TMR) during REM sleep affects emotional reactivity to affective images. Participants rated arousal of affective image-sound pairs, with a subset of sounds cued during subsequent REM sleep, and their responses were assessed via heart rate deceleration, fMRI scanning, and follow-up ratings over multiple sessions. The study aims to elucidate mechanisms underlying memory-based depotentiation of emotional reactivity.

Participants

18

Channels

10 (10-20)

Size

6.47 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG/ERP data from an experiment examining sensitivity to semantic and syntactic violations in deaf readers. Participants read sentences presented word-by-word (RSVP) that contained subject-verb agreement violations, semantic violations, combined violations, word-order violations, or correct control sentences, while EEG was recorded. The study aims to characterize how deaf readers process linguistic anomalies at the neural level.

Participants

62

Channels

32 (10-10)

Citations

2

Size

8.53 GB

Version

v1.0.0

Updated

Aug 19, 2026

This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains 64-channel EEG recordings and behavioural ratings from 4 participants who read and evaluated English-language poetic and non-poetic texts (Haiku, Senryu, and Control). It is a supplementary companion to Poetry Assessment EEG Dataset 1, including participants whose EEG data were acquired in segmented sessions and later concatenated, excluded from primary PSD analyses but retained for completeness. The study investigates neural and psychological correlates of aesthetic appreciation, emotional response, and creativity judgments in response to poetic language.

Participants

4

Channels

64 (10-10)

Size

4.29 GB

Version

v1.0.0

Updated

Aug 19, 2026

This EEG dataset investigates how diffuse (categorical) predictions about stimulus orientation shape neural representations during memory encoding. Participants performed an orientation working-memory task in which a central color cue indicated whether an upcoming grating's orientation was drawn from a predictable 90° range or was fully unpredictable, and later judged whether a probe was rotated clockwise or counterclockwise relative to the memorized orientation. The study examines how predictive information stabilizes and reshapes neural codes for encoded visual features.

Participants

47

Channels

66 (10-10)

Size

145 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset comprises intracranial EEG recordings and behavioral events from a categorized free recall task with closed-loop electrical stimulation applied during encoding. Participants studied word lists organized by semantic category, performed arithmetic distractor tasks, and freely recalled words, while a classifier trained on prior encoding data determined stimulation delivery based on predicted memory encoding success. Data were collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, as part of the DARPA Restoring Active Memory (RAM) project.

Participants

9

Size

12.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises MEG recordings collected to investigate the sustained neural representations of personally familiar people and places during a cued recall task. Participants were cued to recall familiar individuals and locations while brain activity was measured to examine the temporal dynamics of memory-related representations.

Participants

30

Size

76.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.

Participants

31

Channels

129 (egi-geodesic)

Citations

5

Size

153 GB

Version

v1.0.0

Updated

Jul 22, 2026