on004122
BCIT Speed Control
EEG
…Eye tracking data is not included with this dataset. **Initial setup:** Upon…
- Participants
- 32
- Channels
- 64 (10-10)
- Citations
- 41
- HED
- v8.0.0
- Size
- 36.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "neural tracking" · page 5 of 10 · ranked by relevance
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- nm000184
BCI Competition 2020 Track 5 — ERP during walking (scalp, ear-EEG, and IMU)
EEGThis dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task during treadmill walking at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels), electrooculography (4 channels), and inertial measurement unit recordings (6 channels) sampled at 100 Hz. The dataset was collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions. This is a BIDS-formatted derivative dataset converted from the original data using the MOABB (Mother of All BCI Benchmarks) pipeline.
- Participants
- 15
- Channels
- 46 (10-10)
- Citations
- 71
- HED
- v8.4.0
- Size
- 224 MB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on002312
OcularLDT
MEG[
EEGThis dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.15 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on004123
BCIT Traffic Complexity
EEG…Subjects were then outfitted and prepped for eye tracking and EEG acquisition…
- Participants
- 29
- Channels
- 64 (10-10)
- Citations
- 39
- HED
- v8.0.0
- Size
- 17.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006817
Visual Attribute-Specific Contextual Trajectory Paradigm 2.0
EEGThis dataset comprises EEG recordings collected using a Visual Attribute-Specific Contextual Trajectory Paradigm, designed to investigate visual attention and perceptual processing of moving stimuli. It provides raw electrophysiological data intended to support research into contextual and attribute-specific visual trajectory processing in humans.
- Participants
- 35
- Citations
- 1
- Size
- 11.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004657
Driving with Autonomous Aids
EEG…Such factors will include real-time tracking of variables such as task…
- Participants
- 24
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 43.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004043
The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes
EEGThis dataset comprises human electroencephalography recordings from 20 participants performing a visual attention task involving rapid sequences of overlaid oriented gratings. Participants detected target gratings while manipulating both attention (cued by color) and temporal expectation (predictable vs. unpredictable stimulus onset timing). The study dissociates feature-based attention effects from temporal expectation and target-related decision processes, providing insights into the temporal dynamics of selective attention.
- Participants
- 20
- Citations
- 1
- Size
- 30.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003838
EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest
BEH EEG…of cognitive overload; (2) studying neural (event-related potentials and brain oscillations…
- Participants
- 86
- Channels
- 63 (10-10)
- Citations
- 61
- Size
- 253 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004118
BCIT Calibration Driving
EEG…Subjects were then outfitted and prepped for eye tracking and EEG acquisition…
- Participants
- 156
- Channels
- 64 (10-10)
- Citations
- 29
- HED
- v8.0.0
- Size
- 124 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026