on004120
BCIT Baseline Driving
EEG
…Legacy subject IDs are unique across the entire BCIT program. ### Methods **Subjects…
- Participants
- 109
- Channels
- 64 (10-10)
- Citations
- 30
- HED
- v8.0.0
- Size
- 302 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
36 results for "BCIT" · page 1 of 4 · ranked by relevance
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- on004118
BCIT Calibration Driving
EEG…Legacy subject IDs are unique across the entire BCIT program. ### Methods **Subjects…
- Participants
- 156
- Channels
- 64 (10-10)
- Citations
- 29
- HED
- v8.0.0
- Size
- 124 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004105
BCIT Auditory Cueing
EEG…a corresponding dataset in the BCIT Calibration Driving ds004118 which has the…
- Participants
- 17
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 20.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004119
BCIT Basic Guard Duty
EEG…org/10.82901/nemar.on004119) ## BCIT Basic Guard Duty ### Introduction **Overview:** The…
- Participants
- 21
- Channels
- 256 (biosemi)
- Citations
- 25
- HED
- v8.0.0
- Size
- 55.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004122
BCIT Speed Control
EEG…org/10.82901/nemar.on004122) ## BCIT Speed Control ### Introduction **Overview:** The Speed…
- Participants
- 32
- Channels
- 64 (10-10)
- Citations
- 41
- HED
- v8.0.0
- Size
- 36.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004123
BCIT Traffic Complexity
EEG…org/10.82901/nemar.on004123) ## BCIT Traffic Complexity ### Introduction **Overview:** The Traffic…
- Participants
- 29
- Channels
- 64 (10-10)
- Citations
- 39
- HED
- v8.0.0
- Size
- 17.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004106
BCIT Advanced Guard Duty
EEG[
- Citations
- 27
- HED
- v8.0.0
- Size
- 67.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004121
BCIT Mind Wandering
EEG…org/10.82901/nemar.on004121) ## BCIT Mind Wandering ### Introduction **Overview:** Subjects in…
- Participants
- 21
- Channels
- 64 (10-10)
- Citations
- 32
- HED
- v8.0.0
- Size
- 23.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007720
BCI-FIT: A customization protocol for communication brain-computer interface systems.
EEGBCI-FIT is a customization protocol dataset for non-implantable communication brain-computer interface (cBCI) systems, comprising EEG recordings from five participants with speech and/or physical impairments due to amyotrophic lateral sclerosis (ALS). Participants completed calibration and copy-spelling tasks using both customized and non-customized versions of a cBCI system across multiple visits, with iterative system adjustments based on performance, preferences, and signal characteristics. The dataset includes EEG data collected using dry electrode caps (DSI-Flex or DSI-24) sampled at 300 Hz during Matrix and RSVP typing paradigms.
- Participants
- 5
- Channels
- 7 (10-10)
- Size
- 2.17 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000122
Chen2017 – Single-flicker online SSVEP BCI dataset
EEG Zarr verifiedA 32-channel EEG dataset from 12 healthy subjects performing a spatial navigation task using a single-flicker steady-state visual evoked potential (SSVEP) brain-computer interface. The dataset comprises two sessions per subject: a structured training session with 200 trials per subject recorded at 2048 Hz, and an online adaptive BCI game session recorded at 512 Hz. This paradigm employs a spatially-coded approach where a single 15 Hz flickering stimulus in the center of the screen produces distinct spatial topographies corresponding to four cardinal directions (north, east, west, south), enabling direction-specific decoding without frequency-based analysis methods.
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 52
- HED
- v8.4.0
- Size
- 10.9 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026