Discover datasets

This dataset comprises EEG recordings from 30 participants who received laser stimulation at individually calibrated pain thresholds and provided verbal pain ratings. Participants underwent a series of laser stimuli while maintaining visual fixation on a crosshair, followed by subjective pain intensity ratings on a 0-10 scale. The dataset supports investigation of neural correlates of pain perception and subjective pain rating processes.

Participants

30

Channels

32 (10-10)

Size

19.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises neuroimaging recordings from participants undergoing laser pain stimulation with concurrent pain rating assessments. This is a NEMAR-hosted reorganization of OpenNeuro dataset ds005285. Participants received 160 laser stimulations of varying intensities across 4 blocks, with pain ratings collected on a 0-10 scale. The study investigates pain perception and modulation mechanisms, with potential applications to understanding pain processing and therapeutic interventions.

Participants

29

Channels

32 (10-10)

Citations

2

Size

15.9 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This EEG dataset comprises recordings from 26 participants who received laser stimulation at fixed intensity while providing pain ratings on a 0-10 scale. The study investigates the neural correlates of pain perception and subjective pain ratings in response to nociceptive stimuli, with potential applications to understanding pain modulation mechanisms.

Participants

26

Channels

64 (10-10)

Size

4.42 GB

Version

vv1.0.0

Updated

Jul 10, 2026

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

vv1.0.0

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

vv1.0.0

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

vv1.0.0

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

vv1.0.0

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

vv1.0.0

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

vv1.0.0

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

vv1.0.0

Updated

Jul 10, 2026