Discover datasets

This dataset comprises laser-evoked pain responses from 30 participants who received fixed-intensity nociceptive stimuli at discrete energy levels (low pain: 3J or 3.5J; high pain: 3.5J or 4J) while providing subjective pain intensity ratings. The study involved 30 stimulation trials organized in 3 blocks with concurrent neurophysiological recordings, designed to investigate the neural correlates of pain perception and subjective pain rating behavior.

Participants

223

Channels

64 (10-10)

Size

137 GB

Version

v1.0.0

Updated

Jul 10, 2026

An overnight EEG-fMRI pilot study examining sleep physiology and brain activity during spontaneous arousals. Approximately 20 subjects underwent two consecutive nights of simultaneous EEG and fMRI recording (~8 hours per night) with 8 randomized arousal events per night. This dataset serves as the foundational pilot for a larger follow-up study (sleep2) and provides multimodal neuroimaging data during sleep stages and arousal transitions.

Participants

16

Channels

63

Size

2.17 TB

Version

v1.0.0

Updated

Jul 10, 2026

This fNIRS neuroimaging dataset captures prefrontal cortex activity from 20 participants during 14 types of highly automated driving scenarios in a simulator environment. The study examines risk cognition in passengers across different age groups, sexes, and driving experience levels using an 8-channel fNIRS device. The dataset aims to identify differences in prefrontal cortex activation between low-risk and high-risk driving episodes to support safety-of-the-intended-functionality (SOTIF) improvements and brain-computer interface applications.

Participants

20

Size

2.31 GB

Version

v1.0.0

Updated

Jul 10, 2026

This fNIRS neuroimaging dataset captures hemodynamic responses during complex scene analysis tasks, enabling investigation of spatial attention decoding mechanisms. The dataset comprises functional near-infrared spectroscopy recordings from multiple participants performing visual attention tasks on complex scenes, providing insights into cortical activation patterns associated with attentional processes. This resource supports research in cognitive neuroscience, brain-computer interfaces, and visual perception.

Participants

12

Size

2.19 GB

Version

v1.0.0

Updated

Jul 10, 2026

This mobile brain-body imaging (MoBI) study investigates electrocortical correlates of locomotor adaptation during split-belt treadmill walking. Thirty participants performed both abrupt and gradual split-belt walking protocols with a 2:1 belt speed ratio while mobile EEG was recorded. The dataset provides insights into neural mechanisms underlying gait adaptation and motor learning in dynamic walking conditions.

Participants

30

Channels

122 (other)

Citations

29

Size

113 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains raw EEG recordings from a visual discrimination task comparing individuals with schizophrenia spectrum disorders and healthy controls. Participants performed a motion coherence discrimination task with adaptive difficulty while reporting confidence in their perceptual decisions. The study investigates neural correlates of perceptual decision-making and metacognitive processes in schizophrenia.

Participants

40

Channels

68 (10-10)

Size

28.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

A de-identified intracranial EEG dataset from 58 patients with drug-resistant epilepsy treated at the Hospital of the University of Pennsylvania. The dataset includes electrophysiological recordings from subdural grids, strips, depth electrodes (ECoG), and stereotactically-placed depth electrodes (SEEG), with electrode localizations in ICBM152 MNI space, clinically-determined seizure onset zones, and resection/ablation cavity segmentations. Both interictal and ictal periods are represented, providing a comprehensive resource for epilepsy research and surgical outcome prediction.

Participants

58

Citations

21

Size

13.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

This magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.

Participants

27

Size

258 GB

Version

v1.0.0

Updated

Jul 10, 2026

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

Channels

125 (egi-geodesic)

Citations

5

Size

8.71 TB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.

Participants

20

Citations

2

Size

18.9 GB

Version

v1.0.0

Updated

Jul 10, 2026