on006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006460-blue…
- Participants
- 17
- Size
- 460 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "cognitive recovery" · page 9 of 10 · ranked by relevance
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- on004121
BCIT Mind Wandering
EEGThis dataset contains EEG, eye-tracking, and simulated driving performance data collected during the BCIT Mind Wandering study, in which subjects performed a prolonged simulated driving task under varying background audio conditions (task-relevant, non-task-relevant, and internal focus) while responding to periodic lateral perturbations and a vigilance task requiring detection of police vehicles. The study aimed to identify EEG-based biomarkers of driver fatigue and mind wandering by comparing extended time-on-task driving performance to a non-fatigued calibration session. Data were collected at Teledyne Laboratories under a US Army Research Laboratory contract as part of a broader effort to develop predictive fatigue algorithms from neural and behavioral signals.
- Participants
- 21
- Channels
- 64 (10-10)
- Citations
- 32
- HED
- v8.0.0
- Size
- 23.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006459
High-DensityvSparsefNIRS_WordColorStroop_Sparse_Anderson_2025
NIRS[ recordings and behavioral event data from patients performing a paired associates memory task, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied pairs of words, completed a distractor arithmetic task, and performed cued recall to test memory for word pairs. The dataset supports research into the neural basis of associative memory encoding and retrieval using intracranial recordings.
- Participants
- 72
- Size
- 167 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004626
Can we dissociate hypervigilance to social threats from altered perceptual decision-making processes in lonely individuals? An exploration with Drift Diffusion Modelling and event-related potentials.
EEG[
- Citations
- 6
- Size
- 19.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004973
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
NIRSThis fNIRS neuroimaging dataset captures prefrontal cortex activity from 20 participants during 14 types of highly automated driving scenarios in a simulator environment. The study examines risk cognition in passengers across different age groups, sexes, and driving experience levels using an 8-channel fNIRS device. The dataset aims to identify differences in prefrontal cortex activation between low-risk and high-risk driving episodes to support safety-of-the-intended-functionality (SOTIF) improvements and brain-computer interface applications.
- Participants
- 20
- Size
- 2.31 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- 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
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEG…Open multi-session and multi-task EEG cognitive dataset for passive brain…
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 64
- HED
- v8.4.0
- Size
- 4.04 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on007012
FOODEEG: An open dataset of human electroencephalographic and behavioural responses to food images
BEH EEGFOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.
- Participants
- 117
- Size
- 91.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007864
Neuroepo multisession Phase II and III
EEG…Moreover, prior work has reported that NeuroEPO-related cognitive effects in Parkinson…
- Participants
- 45
- Channels
- 21 (10-20)
- Size
- 476 MB
- Version
- v1.0.0
- Updated
- Jul 22, 2026