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The Penn Electrophysiology of Encoding and Retrieval Study (PEERS) is a large-scale investigation of the behavioral and electrophysiological correlates of memory encoding and retrieval. The dataset comprises EEG recordings from over 300 subjects across three experiments (ltpFR, ltpFR2, and VFFR), totaling more than 7,000 ninety-minute memory testing sessions. Data were acquired using either 129-channel Geodesic Sensor Net or 128-channel BioSemi systems, providing a comprehensive resource for studying neural mechanisms of human memory.

Participants

364

Citations

5

Size

8.71 TB

Version

v1.0.0

Updated

Jun 17, 2026

…A community-driven specification for organizing neurophysiology data along with its metadata…

Participants

74

Citations

49

Size

268 GB

Version

v1.0.0

Updated

Jun 23, 2026

A 32-channel EEG dataset comprising visual imagery recordings from 22 healthy participants performing mental imagery tasks of 10 distinct categories (animals, geometric figures, and objects). The dataset contains 16,800 trials collected across 2 sessions per subject with simultaneous EEG acquisition at 1000 Hz, designed to support brain-computer interface research and classification algorithm development.

Participants

22

Citations

1

Size

31.7 GB

Version

v1.0.0

Updated

Jun 3, 2026

…the International Federation of Clinical Neurophysiology. The SD device was used to…

Participants

125

Citations

2

Size

117 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset contains non-invasive spinal cord recordings from 30 healthy young subjects performing an auditory-somatosensory expectation task. Participants received electric median nerve stimulations preceded by auditory cues at either fixed (1100 ms) or variable (100-2100 ms) intervals, while counting rare double-stimulus trials. The study investigates whether temporal expectation modulates initial sensory processing in the human spinal cord using high-frequency electrophysiological recordings from three electrode rings positioned around the cervical spine.

Participants

30

Size

92.8 GB

Version

v1.0.0

Updated

Jun 27, 2026

…Clinical Neurophysiology, 124(5), 901-908. https://doi.org/10.1016/j…

Participants

12

Citations

95

Size

2.06 GB

Version

v1.0.0

Updated

Jun 2, 2026

This dataset comprises electroencephalography (EEG) recordings from 7 participants performing an auditory imagery task, wherein subjects imagined sounds produced by objects from semantic categories (animals and tools) for 5-second intervals. EEG signals were acquired using a 64-channel BioSemi ActiveTwo system sampled at 2048 Hz, with concurrent electrooculography and physiological monitoring. The dataset supports research in semantic decoding and brain-computer interface applications using imagined auditory stimuli.

Participants

7

Size

12.7 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset comprises electroencephalogram (EEG) recordings from 127 young adults (18-30 years) collected using standardized event-related potential tasks from the ERP CORE protocol. The dataset integrates neurophysiological measures with comprehensive socioeconomic indicators spanning childhood and adulthood, including family SES, educational attainment, income, food security, and neighborhood characteristics. Additionally, ADHD symptom screening data are included to enable investigation of neurocognitive correlates across socioeconomically diverse populations.

Participants

127

Size

10.6 GB

Version

v1.0.0

Updated

Jun 28, 2026

This open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with 20 trials per session. The dataset includes preprocessed EEG data (30 channels, 200 Hz sampling rate) with comprehensive artifact correction and has been validated for single-trial classification using common spatial patterns and linear discriminant analysis.

Participants

29

Citations

94

Size

1.87 GB

Version

v1.0.1

Updated

Jun 3, 2026

BigP3BCI Study O is a P300-based brain-computer interface dataset comprising EEG recordings from 18 ALS subjects across 2 sessions each. Participants performed a visual speller task using a 9x8 character grid with supervised/checkerboard stimulus paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz, annotated with target and non-target event labels, and is part of the larger BigP3BCI collection representing one of the most comprehensive public P300 BCI datasets.

Participants

18

Size

981 MB

Version

v1.0.1

Updated

Jun 3, 2026