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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

The experiments were conducted in an acoustically isolated room where only the…

Participants

32

Channels

17 (10-10)

Size

2.03 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.

Participants

10

Size

18.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Towards decoding individual words from non-invasive brain recordings. Nature Communications 16…

Participants

58

Citations

29

Size

445 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005170-blue…

Participants

5

Size

262 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from a P300 speller brain-computer interface study conducted by Speier et al. (2017). Ten healthy participants performed online P300 spelling tasks using a 6×6 character matrix with two stimulus conditions: famous faces and inverted faces. The dataset includes 32-channel EEG data sampled at 256 Hz, with approximately 1200 flashes per training run across two sessions per subject, enabling investigation of stimulus type effects on P300-based communication systems.

Participants

10

Channels

32 (10-10)

Citations

28

HED

v8.4.0

Size

773 MB

Version

v1.0.3

Updated

Aug 18, 2026

…The goal is to enable keyboard-free text input by decoding typing…

Participants

108

Citations

1

Size

223 GB

Version

v2.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalographic recordings from 25 healthy subjects performing a visual P300 brain-computer interface task based on the Brain Invaders paradigm, a game inspired by Space Invaders. The experiment involved 16-channel EEG recordings at 128 Hz sampling rate during both training and online sessions with visual stimulus presentations. The dataset includes 128 target trials and 640 non-target trials per subject, with event-related potentials peaking 240-600 ms after stimulus onset.

Participants

23

Channels

17 (10-20)

Citations

3

HED

v8.4.0

Size

312 MB

Version

v1.0.4

Updated

Aug 18, 2026

This dataset contains raw and processed EEG recordings from participants performing silent visual reading of naturalistic narrative stories, investigating auditory representations of words during silent reading. Data include BrainVision-format EEG recordings organized according to BIDS, along with derivative processed EEG signals, metadata linking sessions to stories and runs, and word-level feature embeddings.

Participants

10

Channels

63 (10-10)

Size

35.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

…The decoding performance directly depends on the choice of parameters, as they…

Participants

13

Citations

2

HED

v8.4.0

Size

2.82 GB

Version

v1.0.0

Updated

Jul 10, 2026