Discover datasets

This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.

Participants

1

Size

1.36 GB

Version

vv1.0.0

Updated

Jul 10, 2026

EEG dataset from Experiment 2 of Grootswagers et al. (2021) investigating neural dynamics of task-relevant information prioritization. Participants performed a rapid serial visual presentation (RSVP) task with small objects embedded in large letters while EEG was recorded. This dataset examines how the brain prioritizes and processes behaviorally relevant stimuli in visual attention tasks.

Participants

20

Size

25.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from Experiment 1 of a study investigating the neural dynamics of task-relevant information prioritization. Participants performed a rapid serial visual presentation (RSVP) task involving small letters superimposed on large objects. The data provides insights into how the brain selectively processes and prioritizes behaviorally relevant stimuli during visual attention tasks.

Participants

20

Size

23.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.

Participants

258

Size

477 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This pilot dataset comprises EEG recordings collected to investigate the neural mechanisms underlying loneliness, specifically examining whether loneliness is characterized by hypersensitivity or hyperalertness to social cues. The data supports a registered report investigating distinct neurobiological pathways associated with the subjective experience of social isolation. This is pilot data collected as part of a registered report protocol.

Participants

38

Channels

65

Size

29.2 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The PEARL-Neuro Database comprises neuroimaging and genetic data from 192 healthy middle-aged individuals (50-63 years) enriched for dementia risk factors. The dataset includes apolipoprotein E and PICALM genotypes, psychometric assessments, and a neuroimaging subgroup (N=79) with resting-state and task-based EEG and fMRI data acquired during cognitive tasks and rest conditions, along with clinical blood biomarkers.

Participants

79

Size

240 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a delayed free recall task conducted across multiple clinical sites. Participants studied visually presented word lists, performed arithmetic distractor tasks, and then freely recalled words in any order. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information and standardized voltage scaling across multiple recording systems.

Participants

280

Size

576 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalography (EEG) recordings collected to investigate the precise cortical contributions to feedback sensorimotor control during reactive balance tasks. The data supports research examining how the brain processes sensory feedback and generates motor commands to maintain postural stability in response to perturbations.

Participants

17

Channels

32 (10-10)

Size

351 MB

Version

vv1.0.0

Updated

Jul 10, 2026

This phantom EEG dataset contains recordings from an electrically conductive head model under six controlled conditions: brain-only baseline, and brain signals combined with eye, jaw muscle, neck muscle, motion, or simultaneous artifacts. The dataset includes ground truth brain signals and accompanying EEGLAB scripts for artifact detection validation and parameter optimization, supporting development and benchmarking of EEG artifact removal methods.

Participants

1

Channels

128 (other)

Size

9.02 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The Automatic Evoked Response Detection (ER-Detect) dataset comprises intracranial electrophysiological recordings collected to develop and validate automated methods for detecting evoked responses in clinical neuroimaging. This dataset integrates data from two major medical centers (Mayo Clinic and University Medical Center Utrecht) and includes carefully curated intracranial EEG recordings with annotated evoked response events, providing a resource for advancing computational approaches to clinical neurophysiology. This dataset is mirrored on NEMAR from OpenNeuro.

Participants

14

Size

30.2 GB

Version

vv1.0.0

Updated

Jul 10, 2026