on007169
Multimodal Cognitive Workload n-back Task, 4 Difficulties
EEG
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- Size
- 2.13 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
93 results for "working memory" · page 7 of 10 · ranked by relevance
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- on003766
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
BEH EEGThis dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.
- Participants
- 31
- Channels
- 129 (egi-geodesic)
- Size
- 153 GB
- Version
- vv1.0.0
- Updated
- Jul 22, 2026
- on004105
BCIT Auditory Cueing
EEGThe BCIT Auditory Cueing dataset comprises EEG, eye-tracking, and vehicle performance data collected during a prolonged simulated driving task designed to assess driver fatigue and cognitive state. Subjects performed two 45-minute driving conditions with either random or predictive auditory cues preceding lateral vehicle perturbations, while continuous measurements of steering behavior, reaction times, and subjective fatigue scales were recorded. This dataset extends prior driving research by examining the relationship between neural biomarkers and fatigue-related performance decrements in a controlled, high-frequency perturbation environment.
- Participants
- 17
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 20.4 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004278
Sustained Neural Representations of Personally Familiar People and Places During Cued Recall
MEGThis dataset contains neuroimaging data from a cued recall task investigating sustained neural representations of personally familiar people and places. Participants were cued to recall specific individuals and locations while MEG data were recorded, enabling investigation of how the brain maintains and represents autobiographical memories of social and spatial information.
- Participants
- 30
- Size
- 76.7 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004517
EEG recordings for semantic decoding of imagined animals and tools during auditory imagery task
EEGThis dataset comprises electroencephalography (EEG) recordings from 7 participants performing an auditory imagery task, wherein subjects imagined sounds produced by objects from semantic categories (animals and tools) for 5-second intervals. EEG signals were acquired using a 64-channel BioSemi ActiveTwo system sampled at 2048 Hz, with concurrent electrooculography and physiological monitoring. The dataset supports research in semantic decoding and brain-computer interface applications using imagined auditory stimuli.
- Participants
- 7
- Channels
- 64 (10-10)
- Size
- 12.7 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004738
sfb_meg_phantom (B04/C01)
MEG[ recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
- Participants
- 8
- Size
- 14.2 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on004350
Executive Functionning Study for Assessing the Effect of Neurofeedback
EEG- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 48
- Size
- 26.4 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on005520
Research data supporting 'EEG recording during playing MOBA game'
EEG…The detailed description of the dataset is currently under working by Hong…
- Participants
- 23
- Channels
- 66 (10-10)
- Size
- 276 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- on002720
A dataset recorded during development of a tempo-based brain-computer music interface
EEGThis dataset contains electroencephalogram (EEG) recordings from 19 healthy participants using a brain-computer music interface designed to enable real-time control of musical tempo through motor imagery. Participants performed kinesthetic motor imagery tasks—imagining squeezing a ball to increase tempo or relaxing to decrease tempo—across nine experimental runs including a calibration phase. The data were collected at 1 kHz sampling rate with 20-second epochs synchronized to music clips, providing a resource for investigating the neural correlates of intentional tempo modulation and music-based brain-computer interface design. This dataset accompanies the publication by Daly et al. (2018). Full methodological details are available in Daly et al. (2014a, 2014b).
- Participants
- 18
- Channels
- 19 (10-20)
- Size
- 2.38 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026