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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

Channels

125 (egi-geodesic)

Citations

9

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

21

Size

74.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG data from the Word Processing task of the PURSUE project, collected to elicit the N400 event-related potential (ERP) component associated with semantic word processing. Data were collected from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia during 2017 and 2018. The task design follows the ERP CORE paradigm developed by Kappenman et al. (2021).

Participants

288

Channels

32 (10-10)

Size

8.98 GB

Version

v1.0.0

Updated

Aug 18, 2026

The PURSUE N2pc Visual Search dataset comprises event-related potential (ERP) recordings from a visual search task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 and represent a component of the ERP CORE resource for standardized human electrophysiological research. The dataset includes demographic information and is designed to facilitate investigation of the N2pc component, a neural marker of attentional selection during visual search.

Participants

294

Channels

32 (10-10)

Size

12.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

The PURSUE LRP/ERN Flanker dataset comprises event-related potential (ERP) recordings from a flanker task experiment conducted across three undergraduate institutions. This dataset contributes to the ERP CORE resource, providing standardized EEG data for investigating error-related negativity (ERN) and lateralized readiness potentials (LRP) during conflict monitoring and motor preparation. Data were collected from participants in 2017-2018 and are formatted according to BIDS standards.

Participants

292

Channels

32 (10-10)

Size

14.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises event-related potential (ERP) recordings from a passive auditory oddball task collected as part of the PURSUE project across three undergraduate institutions. Participants were presented with standard and deviant auditory stimuli while EEG was recorded, enabling investigation of the mismatch negativity (MMN) component and other auditory processing mechanisms. The dataset includes demographic information and standardized task parameters documented in the ERP CORE framework.

Participants

281

Channels

32 (10-10)

Citations

2

Size

12.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises event-related potential (ERP) recordings from a visual oddball task collected as part of the PURSUE project across three primarily undergraduate institutions. Participants performed a P300 oddball paradigm while EEG was recorded in 2017-2018. This dataset is one of the standardized ERP CORE initiative datasets, an open resource for standardized human event-related potential research.

Participants

287

Channels

32 (10-10)

Size

7.83 GB

Version

v1.0.0

Updated

Jul 10, 2026

The PURSUE N170 Face Perception dataset comprises event-related potential (ERP) recordings from a face perception task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 using a standardized task design documented in the ERP CORE resource. This dataset provides a multisite contribution to open-access human electrophysiological research on face processing and the N170 component.

Participants

292

Channels

32 (10-10)

Size

11.6 GB

Version

v1.0.0

Updated

Jul 10, 2026