Discover datasets

This dataset contains intracranial electrophysiology recordings and behavioral data from a delayed free recall task with real-time closed-loop brain stimulation during encoding. Participants studied word lists, performed distractor arithmetic tasks, and freely recalled words while an L2 logistic regression classifier trained on encoding neural features guided stimulation delivery to optimize memory performance. Data were collected across multiple clinical sites as part of a collaborative memory research initiative.

Participants

18

Size

34.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

The Bitbrain Open Access Sleep (BOAS) dataset comprises 128 nights of simultaneous polysomnography and wearable EEG recordings designed to validate emerging wearable sleep monitoring technologies against clinical gold-standard systems. The dataset includes comprehensive PSG recordings from a Micromed Brain Quick Plus Evolution system and synchronized wearable EEG data from a Bitbrain forehead headband, along with human expert consensus sleep stage annotations and AI-generated sleep scoring labels. This resource enables direct comparison and validation of wearable EEG performance for sleep stage classification in a diverse population sample.

Participants

128

Channels

2

Citations

5

Size

33.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings from 106 patients performing an auditory naming task. The recordings include event markers for stimulus onset/offset and response onset, with electrode coordinates provided in MNI-305 space. The dataset supports investigation of neural mechanisms underlying auditory language processing and naming through direct brain recordings.

Participants

106

Citations

2

Size

40.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

EmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings from 60 participants exposed to video-induced and imagery-induced emotional stimuli across seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, and neutral). This dataset addresses the critical gap in cross-context emotion decoding by enabling investigation of how emotional neural responses generalize across different elicitation contexts, with demonstrated classification accuracies of 66.7% for binary emotion classification and 28.9% for seven-category emotion classification using machine learning approaches.

Participants

60

Channels

64

Size

70.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains multimodal neuroimaging and physiological data from a study investigating the effects of Targeted Memory Reactivation (TMR) during REM sleep on emotional reactivity. Participants encoded affective images paired with sounds, received auditory cues during subsequent REM sleep, and were rescanned 48 hours later during arousal rating tasks in an fMRI scanner. The dataset includes structural and functional MRI, polysomnographic recordings with EEG during sleep, heart rate measurements, and behavioral ratings across three sessions spanning two weeks.

Participants

18

Channels

10 (10-20)

Size

6.47 GB

Version

v1.0.0

Updated

Jul 10, 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

69.2 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

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

Jul 10, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a paired associates memory task with open-loop electrical brain stimulation applied during encoding or retrieval phases. Participants studied word pairs, performed a distractor task, and completed cued recall, with stimulation delivered to hippocampal and entorhinal cortex electrodes on randomly assigned lists. The dataset enables investigation of how targeted electrical stimulation affects memory encoding and retrieval processes.

Participants

20

Size

26.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a categorized free recall task with open-loop electrical brain stimulation during encoding. Participants studied semantically organized word lists (12 items from 3 categories, 4 words per category) followed by a distractor task and free recall. Stimulation was delivered to hippocampal and entorhinal cortex electrodes during encoding on 20 of 25 lists per session, with detailed stimulation parameters recorded for each trial.

Participants

19

Size

22.5 GB

Version

v1.0.0

Updated

Jul 10, 2026