on003810
Motor Imagery vs Rest - Low-Cost EEG System
EEG
…The 10 participants had no previous BCI experience. The BCI protocol consisted…
- Participants
- 10
- Channels
- 15 (10-20)
- Citations
- 66
- Size
- 69.3 MB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
Discover datasets
100 results for "reactive BCI" · page 7 of 10 · ranked by relevance
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- on007221
Cross-Environment Multi-Paradigm Motor Imagery EEG Dataset
EEG…Motor imagery BCI algorithm development Cross-subject decoding Cross-environment analysis Robustness…
- Participants
- 84
- Channels
- 69 (10-10)
- Citations
- 2
- Size
- 144 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on002723
A dataset recorded during development of an affective brain-computer music interface: testing session
EEGThis dataset contains EEG recordings from 8 healthy adult participants during real-time control of an affective brain-computer music interface (BCMI). Participants listened to 60-second music clips designed to induce specific emotional states defined by valence and arousal dimensions. The dataset includes continuous EEG data sampled at 1 kHz alongside self-reported affective state ratings, enabling investigation of neural correlates of emotion and the efficacy of real-time music-based emotional state modulation.
- Participants
- 8
- Channels
- 32 (10-10)
- Size
- 2.60 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000196
c-VEP dataset from Thielen et al. (2015)
EEG…BCIs based on broad-band visual stimulation can outperform BCIs using other…
- Participants
- 12
- Channels
- 64 (10-10)
- Citations
- 72
- HED
- v8.4.0
- Size
- 11.0 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005114
EEG: DPX Cog Ctl Task in Acute Mild TBI
EEGThis dataset contains EEG recordings from a Dot Probe Continuous Performance Task (DPX) examining cognitive control in individuals with acute and sub-acute mild traumatic brain injury (mTBI) compared to healthy controls. Data were collected across three longitudinal sessions spanning from 3 days to approximately 4 months post-injury, with substantial subject attrition over time. The dataset was collected between 2016-2018 at the Center for Brain Recovery and Repair, UNM Health Sciences Center, to study neural correlates of cognitive control deficits following mild brain injury.
- Participants
- 91
- Channels
- 65 (10-10)
- Citations
- 25
- Size
- 56.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004446
The BMI-HDEEG dataset 2
EEG[
- Citations
- 10
- Size
- 29.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on002722
A dataset recorded during development of an affective brain-computer music interface: calibration session
EEGThis dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 19 healthy adult participants during a calibration session of an affective brain-computer music interface system. Participants listened to 40-second synthetic music clips designed to induce specific affective states defined by valence and arousal dimensions across 5 runs of 18 trials each. The synthetic music was generated in real-time based on target emotional states and could be modified online to induce target emotional states. The dataset includes self-reported affective state ratings and auxiliary variables, serving as calibration data for the brain-computer music interface system. This dataset is part of a three-dataset collection that includes offline training and online real-time control sessions.
- Participants
- 19
- Channels
- 32 (10-10)
- Size
- 6.10 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000339
Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population
EEG…40.0 BCI Application --------------- Applications: cursor_control Environment: laboratory Online feedback: True…
- Participants
- 62
- Channels
- 60 (10-10)
- Citations
- 59
- HED
- v8.4.0
- Size
- 722 GB
- Version
- v1.0.4
- Updated
- Aug 18, 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
- 2.39 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000244
P300 dataset BI2014a from a "Brain Invaders" experiment
EEG…not specified - **BCI experience**: 57 were naïve BCI participants - **Species**: human ## Experimental…
- Participants
- 64
- Channels
- 16 (10-10)
- Citations
- 18
- HED
- v8.4.0
- Size
- 3.06 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026