on004621
The Nencki-Symfonia EEG/ERP dataset
EEG
…mixed cognitive tasks [(i) an extended multi-source interference task, MSIT+; (ii…
- Participants
- 42
- Channels
- 127 (10-05)
- Citations
- 18
- Size
- 77.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "cognitive workload" · page 4 of 10 · ranked by relevance
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- on004350
Executive Functionning Study for Assessing the Effect of Neurofeedback
EEG- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 50
- Size
- 26.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005385
Resting-state EEG data before and after cognitive activity across the adult lifespan and a 5-year follow-up
EEG…NCT05155397), a prospective study on the determinants of healthy cognitive aging. The…
- Participants
- 608
- Channels
- 64 (10-10)
- Citations
- 21
- Size
- 74.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004123
BCIT Traffic Complexity
EEGThis dataset contains EEG, eye-tracking, and vehicle performance data collected during the BCIT Traffic Complexity study, in which subjects performed a simulated driving task under varying visual complexity and perturbation frequency conditions. The study aimed to identify biomarkers of driver fatigue by comparing EEG-based predictive algorithms to objective performance measures and subjective fatigue scales. Data collection took place at Teledyne Corporation in Durham, NC, and is related to companion datasets on Baseline Driving and Calibration Driving tasks.
- Participants
- 29
- Channels
- 64 (10-10)
- Citations
- 39
- HED
- v8.0.0
- Size
- 17.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004511
Deception_data
BEH EEG…See details of the task https://github.com/neuropsychology/CognitiveControl. # Data acquisition…
- Participants
- 45
- Channels
- 139 (other)
- Citations
- 4
- Size
- 202 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004122
BCIT Speed Control
EEGThis dataset contains EEG and vehicle performance data from the BCIT Speed Control study, designed to investigate driver fatigue during extended, simulated driving tasks. Subjects performed continuous driving under cruise-controlled and manual speed conditions while EEG, steering, and lane-position data were recorded to identify biomarkers of fatigue-related performance decline. The study builds on the related Baseline Driving paradigm and contrasts fatigued driving conditions with a non-fatigued calibration session.
- Participants
- 32
- Channels
- 64 (10-10)
- Citations
- 41
- HED
- v8.0.0
- Size
- 36.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003483
Logical reasoning study
MEG<!-- nemar:provenance --> ## Provenance This dataset is mirrored on NEMAR from OpenNeuro. - Source…
- Participants
- 21
- Size
- 68.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002691
Internal attention study
EEGThis dataset comprises EEG recordings from 20 subjects performing a sustained attention task involving mental concentration on a target stimulus. Participants received automated verbal instructions guiding them through cycles of relaxation, preparation, and 15-second concentration periods, with the entire experiment conducted with eyes closed. The dataset includes 20 repetitions of the attention task per participant and is annotated using HED (Hierarchical Event Descriptors) version 8.0.0.
- Participants
- 20
- Channels
- 32 (egi-geodesic)
- HED
- v8.0.0
- Size
- 777 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007605
EPOC
EEG…reported cognitive symptoms and a group without self-reported cognitive symptoms. ##### Dependent…
- Participants
- 97
- Channels
- 128 (other)
- Citations
- 1
- Size
- 21.7 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on004120
BCIT Baseline Driving
EEGThis dataset contains EEG and driving performance data from the Baseline Driving study, part of the BCIT program investigating fatigue-related biomarkers during simulated driving tasks. Subjects performed a 60-minute driving task with EEG recorded at three different sites using varying channel configurations (64 or 256-channel Biosemi systems). The dataset supports research into predictive algorithms for detecting driver fatigue through EEG analysis and objective performance measures.
- Participants
- 109
- Channels
- 64 (10-10)
- Citations
- 30
- HED
- v8.0.0
- Size
- 302 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026