Discover datasets

This dataset contains long-term intracranial EEG (iEEG) recordings from 13 patients with focal epilepsy, part of the larger RESPect registry collected at the University Medical Center Utrecht. Recordings include electrocorticography (5 patients) and stereo-electroencephalography (8 patients), organized according to the BIDS specification with detailed session and run metadata reflecting monitoring periods and clinical protocols such as SPESclin. The dataset supports investigations into structural and effective brain connectivity in focal epilepsy.

Participants

13

Size

44.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains raw EEG recordings from 15 participants who each completed three auditory oddball paradigms within a single experimental session: the Optimum-1 sequence for mismatch negativity (MMN), the learning-oddball sequence for P3b, and the local-global paradigm for assessing local and global auditory novelty effects. The dataset was collected to compare within-individual sensitivity of MMN and P3b responses across these different oddball paradigms. It includes original stimulation triggers, corrected event files, and source stimulation sequence definitions used in the analysis.

Participants

15

Channels

64 (10-10)

Citations

5

Size

16.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings collected to characterize visual fatigue induced by mixed reality stereo vision. Participants viewed resting and movement scenes designed to elicit varying degrees of visual fatigue while EEG was recorded from 24 scalp electrodes. The dataset supports both resting-state and task-state EEG analyses related to fatigue characterization under stereoscopic visual stimulation.

Participants

23

Channels

64 (10-10)

Size

21.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises stereoelectroencephalography (sEEG) recordings from epilepsy patients undergoing monitoring for seizure activity at Oregon Health & Science University. During monitoring, patients were presented with auditory and visual numerical stimuli that were either symbolic (Arabic numerals and spoken numbers) or non-symbolic (dot arrays and beeps), enabling investigation of numerical cognition and its neural representations in intracranial recordings.

Participants

13

Size

13.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains behavioral events and intracranial electrophysiological recordings from a free recall task with repeated word items, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied lists of words presented visually, with items repeated at varying frequencies, and then freely recalled the words after a delay period. The dataset supports investigation of memory encoding and retrieval processes as a function of item repetition.

Participants

48

Size

157 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from a semantic conditioning task designed to investigate how contingency awareness influences neural responses during fear conditioning. The data support analyses relating conscious awareness of stimulus contingencies to electrophysiological markers of conditioned fear responses. The dataset was collected and shared to enable reanalysis and replication of findings related to fear learning and conditioning paradigms.

Participants

81

Channels

63 (10-10)

Size

19.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings used to derive auditory brainstem responses (ABRs) to continuous, naturally uttered speech under varying levels of speech masking. Data were collected from 25 normal-hearing adult participants presented with click trains and 'peaky speech' stimuli from one to five simultaneously presented talkers at different signal-to-noise ratios. The study aims to characterize how masking affects subcortical neural encoding of speech in human listeners, building on prior methods for deriving speech-ABRs.

Participants

25

Channels

2

Citations

7

Size

37.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from a frequency-tagging study investigating how the brain integrates observed actions that are visually or semantically dissimilar. Participants viewed action stimuli tagged at distinct frequencies while neural responses were recorded to examine integration effects in the frequency domain. The data are organized according to the BIDS-EEG standard.

Participants

29

Channels

63 (10-05)

Size

13.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG, electroglottography (EGG), and audio recordings from participants exposed to delayed auditory feedback (DAF) during speech production. The data were collected to investigate the neural and vocal responses to auditory feedback delays, capturing both brain activity and vocal fold vibration patterns synchronized with speech and altered auditory feedback timing.

Participants

32

Channels

62 (10-10)

Size

136 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains de-identified intracranial EEG (iEEG) recordings during sleep from 185 pediatric epilepsy patients collected at UCLA Mattel Children's Hospital and Children's Hospital of Michigan, Detroit. It includes channel-level anatomical labels, resection status, and outcome information, along with derivatives for high-frequency oscillation (HFO) detection and classification using RMS and MNI detectors. The dataset supports research on interictal iEEG biomarkers for predicting epilepsy surgery outcomes.

Participants

185

Citations

14

Size

165 GB

Version

v1.0.0

Updated

Aug 19, 2026