Discover datasets

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

35

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

7

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

This dataset comprises synchronized electroencephalographic (EEG), autonomic physiological, and behavioral recordings acquired during an emotional word association task. Participants performed a lexical task involving fear-related concepts, selecting or generating words in response to prompts while neural activity, autonomic responses (electrodermal activity, blood volume pulse, interbeat interval, and skin temperature), and behavioral events were recorded. The dataset includes 8-channel EEG data sampled at 250 Hz alongside physiological signals from an Empatica E4 wristband, with semantic similarity measures between consecutive word responses. This is the enriched version of OpenNeuro dataset ds007955 with additional analysis and documentation. Note: Physiological data for participant 7 are unavailable due to a data acquisition error with the Empatica E4 recording system; EEG and behavioral data remain available for this participant.

Participants

9

Channels

8 (10-20)

Citations

3

Size

26.4 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises 64-channel resting-state EEG recordings from 608 healthy adults aged 20-70 years, collected as part of the Dortmund Vital Study. Recordings were obtained before and after a 2-hour cognitive task battery, with measurements at baseline (2016-2023) and approximately 5-year follow-up (starting 2021) for 208 participants. The study investigates spontaneous brain electrical activity across the adult lifespan to elucidate developmental trajectories and associations with cognitive aging.

Participants

608

Channels

64 (10-10)

Citations

20

Size

74.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

The NIMH Healthy Research Volunteer Dataset is a comprehensive neuroimaging and clinical characterization study of 1,859 healthy adults. The dataset includes structural and functional MRI, diffusion tensor imaging, magnetoencephalography, cognitive assessments, psychiatric evaluations, and biospecimens. This resource enables investigations into normal cognition, mood regulation, and brain function across a deeply phenotyped healthy population.

Participants

251

Citations

24

Size

633 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises magnetoencephalography (MEG) recordings from 50 healthy French-speaking adults reading the French text of *Le Petit Prince* presented via rapid serial visual presentation (RSVP). Each participant completed 9 experimental runs while MEG, electrooculogram, and electrocardiogram signals were continuously recorded at 1000 Hz. High-resolution anatomical MRI scans were acquired for each participant to enable source localization and cortical surface reconstruction.

Participants

50

Citations

27

Size

299 GB

Version

v1.0.0

Updated

Jul 10, 2026