Discover datasets

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

Citations

29

Size

25.3 GB

Version

v1.0.0

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

Citations

29

Size

23.3 GB

Version

v1.0.0

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

Citations

1

Size

477 GB

Version

v1.0.0

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

29.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

The PEARL-Neuro Database contains EEG, fMRI, genetic, health, and lifestyle data from 192 healthy middle-aged (50-63) Polish individuals at risk of Alzheimer's disease, based on APOE and PICALM genotypes. A subgroup of 79 participants also underwent neuroimaging (EEG and fMRI) during resting-state and cognitive task protocols (multi-source interference task and Sternberg's memory task), alongside blood test data. The dataset aims to support research on genetic, lifestyle, and neuroimaging correlates of dementia risk in middle-aged adults.

Participants

79

Citations

36

Size

240 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial EEG recordings and behavioral event data from patients performing a delayed free recall task, in which participants studied word lists, engaged in an arithmetic distractor task, and freely recalled words. Data were collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, providing electrode localization and referencing information suitable for memory and epilepsy research.

Participants

280

Citations

2

Size

576 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains electroencephalography (EEG) recordings collected during reactive balance perturbations to investigate cortical contributions to feedback-driven sensorimotor control. The data support analyses of how specific cortical regions contribute to reactive postural responses following balance disturbances. It is intended to inform understanding of the neural mechanisms underlying balance control and their potential relevance to rehabilitation research.

Participants

17

Channels

32 (10-10)

Citations

1

Size

351 MB

Version

v1.0.0

Updated

Aug 19, 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)

Citations

27

Size

10.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG recordings collected to support the development and validation of automatic evoked response detection (ER-Detect) methods. Data were gathered from patients undergoing electrical stimulation mapping at Mayo Clinic and University Medical Center Utrecht, aiming to characterize cortico-cortical evoked potentials for clinical and research applications in epilepsy and brain connectivity studies.

Participants

14

Citations

1

Size

30.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises simultaneous scalp EEG and intracranial EEG (iEEG) recordings from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Recordings include depth electrode iEEG, 10-20 scalp EEG, electrode localization (MNI coordinates and anatomical labels), and derived LCMV beamforming virtual sensor data from multiple brain regions (temporal superior lobe, lateral prefrontal cortex, occipital cortex, posterior parietal cortex, and Broca's area). Behavioral data on trial set size, match/mismatch condition, accuracy, and response time are also provided, enabling analyses of memory encoding, maintenance, and recall processes, connectivity, and neural replay.

Participants

15

Channels

19 (10-20)

Citations

47

Size

11.9 GB

Version

v1.0.0

Updated

Aug 19, 2026