Discover datasets

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

This dataset comprises raw EEG recordings from 15 participants performing three auditory oddball paradigms: Optimum-1 (optimized for mismatch negativity), learning-oddball (optimized for P3b), and local–global paradigm (for local and global effects). The data were collected in a single EEG session with three consecutive tasks presented as separate sessions, enabling within-individual comparison of event-related potential sensitivity across specialized oddball sequences.

Participants

15

Channels

64 (10-10)

Size

16.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 24 electrodes acquired during a mixed reality stereo vision task designed to characterize mental fatigue. Participants completed resting and movement observation scenes within a virtual environment, with EEG data collected to enable both resting-state and task-state analyses of fatigue-related neural correlates.

Participants

23

Channels

64 (10-10)

Size

21.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises stereoelectroencephalography (sEEG) recordings from epilepsy patients hospitalized on a monitoring unit at Oregon Health & Science University, acquired during presentation of symbolic (Arabic numerals and spoken words) and non-symbolic (dot patterns and auditory tones) numerical stimuli. The study investigates neural responses to numerical processing across different sensory modalities in patients with epilepsy. Note: Some anatomical derivatives and processing files from FreeSurfer surface reconstruction are included as part of the analysis pipeline.

Participants

13

Size

13.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises behavioral and intracranial electrophysiological recordings from a repeated-item free recall task conducted across multiple clinical sites. Participants studied lists of 12 unique words (with varying repetition frequencies: 3 presented once, 3 twice, and 6 three times) presented visually, followed by a 7-second delay and free recall phase. The dataset investigates how item repetition affects memory encoding and retrieval processes through direct brain recordings.

Participants

48

Size

157 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains neuroimaging data from a semantic conditioning task designed to investigate how contingency awareness modulates neural responses during fear conditioning. The study examines the relationship between explicit awareness of stimulus-outcome contingencies and the neural mechanisms underlying conditioned fear responses, contributing to understanding of conscious versus unconscious learning processes in aversive conditioning.

Participants

81

Channels

63 (10-10)

Size

19.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises auditory brainstem response (ABR) recordings from 25 normal-hearing participants exposed to continuous speech under varying masking conditions. Participants listened to peaky speech from one to five simultaneous talkers at different signal-to-noise ratios (clean, 0 dB, -3 dB, -6 dB SNR), as well as click trains, while EEG was recorded. The study investigates how speech masking affects subcortical neural encoding of naturally produced speech in human listeners.

Participants

25

Channels

2

Citations

6

Size

37.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings investigating the neural mechanisms of action observation and integration. Using frequency tagging methodology, the study examines how the brain processes and integrates dissimilar observed actions, providing insights into the neural basis of action perception and motor cognition.

Participants

29

Channels

63 (10-05)

Size

13.3 GB

Version

v1.0.0

Updated

Jul 10, 2026