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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

vv1.0.0

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

vv1.0.0

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

vv1.0.0

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

vv1.0.0

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

vv1.0.0

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

26

Size

633 GB

Version

vv1.0.0

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

20

Size

299 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises magnetoencephalography (MEG) recordings from 58 healthy French-speaking adults listening to the French audiobook of *Le Petit Prince*. Participants completed 9 runs of continuous listening while MEG signals were recorded alongside electrooculography and electrocardiography. High-resolution anatomical MRI scans were acquired for each participant to enable source localization and cortical surface reconstruction, supporting investigations of neural language processing during naturalistic speech comprehension.

Participants

58

Citations

20

Size

445 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This MEG dataset contains recordings from a cognitive neuroscience study investigating planning, memory, and replay mechanisms. The dataset includes magnetoencephalography recordings with synchronized trigger channels for precise event marking, along with detailed event timing information. Participants completed multiple experimental phases including localizer, structure and reward learning, and post-task sessions. The data is provided in BIDS format with comprehensive documentation of trigger timing and photodiode-estimated visual onset delays.

Participants

1

Citations

2

Size

1.28 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The PURSUE N400 Word Processing dataset comprises event-related potential (ERP) recordings from a word processing task collected at three undergraduate institutions across the United States in 2017-2018. This dataset contributes to the ERP CORE resource, providing standardized neurophysiological data for investigating semantic processing and the N400 component. The data supports research on cognitive language mechanisms and facilitates cross-site validation of ERP methodologies.

Participants

288

Channels

32 (10-10)

Size

8.97 GB

Version

vv1.0.0

Updated

Jul 10, 2026