Discover datasets

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 detailed behavioral events and iEEG recordings, providing a resource for investigating neural mechanisms of spatial memory and navigation.

Participants

58

Size

106 GB

Version

v1.0.0

Updated

Jul 10, 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

This dataset comprises intracranial electrophysiological recordings and behavioral data from a delayed free recall task with open-loop electrical brain stimulation during encoding. Participants studied visually presented word lists, performed distractor arithmetic tasks, and freely recalled words while stimulation was delivered to hippocampal and entorhinal cortex electrodes. The study involved 25 participants across multiple clinical sites, with 20 of 25 lists per session receiving open-loop stimulation on alternating word pairs.

Participants

38

Size

64.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

PREDICT is an EEG dataset containing recordings from participants with chronic pain conditions. The dataset includes resting-state and task-based EEG recordings along with clinical and demographic information. This dataset is mirrored on NEMAR from OpenNeuro (ds005486) and is intended to support research on predictive biomarkers and neural mechanisms of chronic pain.

Participants

159

Size

371 GB

Version

v1.0.0

Updated

Jul 10, 2026

STReEF is a long-term intracranial EEG dataset from 13 patients with focal epilepsy, comprising 5 electrocorticography and 8 stereo-encephalography recordings collected at the University Medical Center Utrecht. The dataset includes structural and functional neuroimaging data organized according to BIDS specification, designed to investigate structural and effective brain connectivity in focal epilepsy surgery candidates.

Participants

13

Size

44.7 GB

Version

v1.0.0

Updated

Jul 10, 2026