on004598
LFP during linear track in 6-month old TgF344-AD rats
EEG
[
- Size
- 26.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "cognitive traits" · page 9 of 10 · ranked by relevance
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- on004395
Penn Electrophysiology of Encoding and Retrieval Study (PEERS)
BEH EEGThe 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
- nm000204
Bluetooth speaker experiment (14 subjects, 6 classes, 31 EEG ch)
EEGA P300-based brain-computer interface dataset for home appliance control, comprising EEG recordings from 14 healthy subjects performing a visual oddball task with 31-channel recordings at 500 Hz sampling rate. The dataset includes 50 training and 30 testing blocks per subject, with target and non-target stimulus classifications presented via LCD display in an online BCI paradigm.
- Participants
- 14
- Channels
- 31 (10-10)
- Citations
- 9
- HED
- v8.4.0
- Size
- 644 MB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004830
Spatial Attention Decoding using fNIRS During Complex Scene Analysis
NIRS[. Data were collected across two sessions per subject with three runs each, using a 32-channel g.tec EEG system at 256 Hz. The dataset is a BIDS-formatted derivative generated via MOABB from the original data reported in Speier et al. (2017), which compared classification approaches for the P300 speller using language models.
- Participants
- 10
- Channels
- 32 (10-10)
- Citations
- 28
- HED
- v8.4.0
- Size
- 773 MB
- Version
- v1.0.4
- Updated
- Aug 20, 2026
- on006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
NIRS[
- Citations
- 2
- Size
- 13.6 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on004587
IllusionGameEEG_data
BEH EEGThis dataset comprises electroencephalography, physiological, and behavioral data collected from 103 healthy individuals (ages 21-45) during visual illusion perception tasks and resting-state recordings. Participants performed perceptual judgments on three classic visual illusions (Ebbinghaus, Müller-Lyer, and Vertical-Horizontal) with manipulated difficulty and illusion strength, followed by an 8-minute eyes-closed resting-state period. The multimodal dataset includes 64-channel EEG, electrocardiogram, photoplethysmography, and respiration signals, enabling investigation of neural correlates of visual illusion sensitivity and resting-state brain activity.
- Participants
- 103
- Channels
- 59 (10-10)
- Size
- 219 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000263
Visual object ERP EEG dataset (Kaneshiro et al. 2015)
EEGA high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.
- Participants
- 10
- Channels
- 124 (egi-geodesic)
- Citations
- 93
- HED
- v8.4.0
- Size
- 3.40 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026