Discover datasets

This dataset contains behavioral events and intracranial electrophysiology recordings from a delayed free recall task with closed-loop electrical stimulation delivered during encoding, guided by a classifier trained on encoding data. Participants studied lists of visually presented words, performed arithmetic distractor tasks, and then freely recalled the words. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, and represent a closed-loop stimulation extension of the FR1 and FR2 free recall datasets.

Participants

18

Size

34.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

The Bitbrain Open Access Sleep (BOAS) dataset comprises 128 nights of simultaneous polysomnography (PSG) and wearable EEG headband recordings from 108 unique participants, designed to validate wearable EEG technology against clinical PSG for sleep monitoring. The dataset includes human-consensus sleep stage labels derived from expert scoring of PSG recordings, as well as AI-generated sleep stage labels for both PSG and wearable EEG data using a deep learning model. Additional demographic metadata (age, sex, BMI) are provided for each participant, offering a comprehensive resource for sleep staging research and wearable EEG validation.

Participants

128

Channels

2

Citations

7

Size

33.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG recordings from 106 individuals performing an auditory-naming task, with electrode coordinates provided in MNI-305 space. It supports investigation of the dynamic causal network underlying auditory descriptive naming, as reported by Kanno et al. (2025). The dataset accompanies analysis code for tractography-based network analysis.

Participants

106

Citations

2

Size

40.0 GB

Version

v1.0.0

Updated

Aug 19, 2026

EmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings (PPG, GSR) from 60 participants exposed to video-induced and imagery-induced emotional stimuli. Seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, neutral) were evoked and validated through subjective reports, enabling investigation of cross-context emotion decoding. The dataset supports research on neural mechanisms of emotion and generalization of affective computing models across contexts.

Participants

60

Channels

64

Citations

3

Size

70.4 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 intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task with open-loop brain stimulation during encoding. Participants learned object locations through guided navigation and subsequently recalled them during self-navigation test phases. The study employed electrical stimulation of hippocampal and entorhinal cortex electrodes during learning trials, with stimulation parameters systematically varied across counterbalanced trial blocks to investigate the effects of targeted brain stimulation on spatial memory encoding. This dataset is an open-loop stimulation variant of the YC1 dataset (ds005522).

Participants

22

Size

69.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task conducted across multiple clinical sites. Participants encoded object locations during guided navigation learning phases and subsequently recalled these locations during self-navigation test phases. The dataset includes 50 trials per session with counterbalanced trial blocking and provides both monopolar and bipolar iEEG recordings with anatomical coordinates.

Participants

58

Citations

2

Size

107 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset comprises electroencephalography (EEG) recordings from 23 participants during resting state (eyes closed and open) and active gameplay in a multiplayer online battle arena (MOBA) game. The study captures neural activity associated with gaming performance, including event markers for in-game actions such as kills, deaths, and match outcomes. Data were collected between April and July 2023 using a 64-channel Neuroscan system.

Participants

23

Channels

66 (10-10)

Size

276 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG recordings and behavioral events from a paired-associates memory task incorporating open-loop electrical stimulation at either encoding or retrieval. Participants studied word pairs, performed an arithmetic distractor task, and completed cued recall, with stimulation applied to hippocampal or entorhinal cortex electrodes on a subset of lists. Data were collected across multiple clinical sites in collaboration with the University of Pennsylvania Computational Memory Lab, and represent an open-loop stimulation variant of the PAL1 dataset.

Participants

20

Size

26.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains behavioral events and intracranial EEG recordings from a categorized free recall task with open-loop electrical stimulation applied during encoding. Participants studied semantically organized word lists, performed arithmetic distractor tasks, and then freely recalled the words. Stimulation was delivered to single electrodes in the hippocampus or entorhinal cortex during word encoding on a subset of trials, with data collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

19

Size

22.5 GB

Version

v1.0.0

Updated

Aug 19, 2026