Discover datasets

NeuroMorph is a high-temporal resolution magnetoencephalography (MEG) dataset comprising recordings from 24 subjects totaling over 17 hours of data acquired using a KIT/Yokogawa system with 208 magnetometer channels. The dataset is designed to support morpheme-based linguistic analysis and investigation of language and cognitive processes through visual presentation paradigms, providing a resource for studying neural mechanisms of language processing at fine temporal resolution.

Participants

24

Size

140 GB

Version

v1.0.0

Updated

Jun 26, 2026

This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.

Participants

9

Citations

24

Size

297 MB

Version

v1.0.0

Updated

Jun 21, 2026

A multi-session EEG dataset acquired from 15 healthy participants performing resting state and graded cognitive tasks (MATB-II at three difficulty levels). The dataset comprises 62-channel EEG recordings at 500 Hz sampling rate designed for passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. Raw EEG data are provided with standardized event annotations using HED 8.4.0 schema and MOABB-compatible feature extraction pipelines (bandpower analysis and Riemannian covariance methods) for benchmarking purposes.

Participants

15

Citations

58

Size

1.22 GB

Version

v1.0.0

Updated

Jun 2, 2026

This dataset comprises electroencephalography (EEG) recordings collected to investigate the relationship between auditory streaming—the perceptual organization of sound sequences—and interoceptive awareness. The study examines how the brain processes complex auditory stimuli and integrates this information with internal bodily signals, contributing to our understanding of sensory integration and conscious perception.

Participants

22

Size

7.24 GB

Version

v1.0.0

Updated

Jun 19, 2026

This dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.

Participants

8

Size

14.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset comprises simultaneous multimodal neurophysiological recordings (EEG, electrospinography, electroneurography, and EMG) from 26 participants during resting state and various somatosensory stimulation conditions targeting mixed nerves (median and tibial) and individual digits. The dataset enables investigation of somatosensory evoked potentials and their propagation through the central and peripheral nervous system across multiple recording modalities.

Participants

26

Citations

1

Size

376 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset comprises electroencephalogram (EEG) recordings from 127 young adults (18-30 years) collected during standardized cognitive tasks designed to assess perception, cognition, and action. Participants completed tasks from the Event-Related Potentials Compendium of Open Resources and Experiments (ERP CORE) or adapted variants thereof. The dataset integrates neurophysiological measures with comprehensive socioeconomic indicators spanning childhood and adulthood, including family SES, educational attainment, income, food security, and neighborhood characteristics, as well as ADHD symptom screening. This resource enables investigation of the relationship between socioeconomic context and neural electrophysiology in a diverse young adult population.

Participants

127

Size

10.6 GB

Version

v1.0.0

Updated

Jun 28, 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

Citations

45

Size

11.9 GB

Version

v1.0.0

Updated

Jun 25, 2026

BigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.

Participants

19

Size

1.46 GB

Version

v1.0.1

Updated

Jun 3, 2026

BigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 ALS subjects performing a 9x8 character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.

Participants

20

Size

1.95 GB

Version

v1.0.1

Updated

Jun 3, 2026