Discover datasets

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

v1.0.0

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

v1.0.0

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

v1.0.0

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

v1.0.0

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

v1.0.0

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

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous intracranial EEG, scalp EEG, and beamforming-reconstructed source data from fifteen epilepsy patients performing a verbal working memory task. Subjects completed a modified Sternberg task with temporally separated encoding, maintenance, and recall phases. The dataset includes electrode coordinates, anatomical labels, and trial-level behavioral information, enabling investigation of working memory mechanisms through multimodal electrophysiological recordings and source reconstruction.

Participants

15

Channels

19 (10-20)

Size

11.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains magnetoencephalography (MEG) recordings from a Neuromag phantom used to characterize device-specific artifacts generated by deep brain stimulation (DBS) systems. The study investigates how DBS-related electromagnetic interference affects MEG signal quality and measurement reliability, providing essential reference data for researchers working with concurrent DBS-MEG recordings in clinical and research settings.

Participants

4

Size

6.13 GB

Version

v1.0.0

Updated

Jul 10, 2026

This multimodal neuroimaging dataset comprises task-based and resting-state fMRI, structural MRI, and EEG recordings from 52 healthy older Cantonese speakers (mean age 69 years) listening to naturalistic speech from 'The Little Prince' in Cantonese. The dataset includes comprehensive behavioral assessments, detailed linguistic annotations with time-aligned speech segmentation and prosodic features, and natural language processing-derived predictors. This resource addresses a significant gap in language neuroscience by providing robust neuroimaging data from an underrepresented demographic and non-Indo-European language population.

Participants

52

Channels

64

Size

109 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.

Participants

34

Channels

128 (biosemi)

Size

1.30 TB

Version

v1.0.0

Updated

Jul 10, 2026