Meta-rdk: Preprocessed EEG data
Imported from OpenNeuro ds004368
- Participants
- 39
- Channels
- 63 (10-10)
- Size
- 969 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "continuous performance task" · page 3 of 10 · ranked by relevance
Imported from OpenNeuro ds004368
…8.0 s - **Tasks**: right_hand_MI, left_hand_MI, resting_state…
…right_hand, left_hand, both_hand, rest Tasks: LR, UD, 2D Study…
This dataset comprises multi-channel EEG recordings from 27 healthy adults performing a sustained-attention driving task in a virtual-reality simulator across 62 sessions. The task involved event-related lane-departure paradigms where participants maintained vehicle position on a simulated highway, with recordings capturing 32-channel EEG (30 scalp + 2 mastoid references) sampled at 500 Hz alongside vehicle position data. The dataset includes approximately 82 hours of raw, unfiltered EEG data with over 27,000 lane-departure trials and associated behavioral markers, providing a resource for investigating fatigue, drowsiness, and sustained attention mechanisms.
The PURSUE N400 Word Processing dataset comprises event-related potential (ERP) recordings from a word processing task collected at three undergraduate institutions across the United States in 2017-2018. This dataset contributes to the ERP CORE resource, providing standardized neurophysiological data for investigating semantic processing and the N400 component. The data supports research on cognitive language mechanisms and facilitates cross-site validation of ERP methodologies.
…Skill learning was assessed using the sequential finger tapping task (SFTT). Participants…
This dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.
…After the food categorisation task, participants provided continuous ratings (0-100) for…
…motor_imagery - **Imagery tasks**: right_hand, feet - **Imagery duration**: 5.0 s…
This 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.