nm000135
BNCI 2014-004 Motor Imagery dataset
EEG
- Participants
- 1
- Channels
- 3 (10-20)
- Citations
- 82
- HED
- v8.4.0
- Size
- 22.4 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neuromotor interfaces" · page 8 of 10 · ranked by relevance
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- nm000119
Oikonomou2016 – SSVEP MAMEM 1 dataset
EEG…art algorithms ## Abstract Brain-computer interfaces (BCIs) have been gaining momentum in…
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 40
- HED
- v8.4.0
- Size
- 5.36 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000303
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study O)
EEGBigP3BCI Study O is a P300-based brain-computer interface dataset comprising EEG recordings from 18 ALS subjects across 2 sessions each. Participants performed a visual speller task using a 9x8 character grid with supervised/checkerboard stimulus paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz, annotated with target and non-target event labels, and is part of the larger BigP3BCI collection representing one of the most comprehensive public P300 BCI datasets.
- Participants
- 18
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 981 MB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- nm000196
c-VEP dataset from Thielen et al. (2015)
EEG…visual stimulation ## Abstract Brain-Computer Interfaces (BCIs) allow users to control devices…
- Participants
- 12
- Citations
- 72
- HED
- v8.4.0
- Size
- 3.48 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000272
Romani et al. 2025 — BrainForm: a Serious Game for BCI Training and Data Collection (P300 ERP, University of Trento)
EEGBrainForm is a P300 event-related potential (ERP) EEG dataset collected from 22 participants using a gamified brain-computer interface (BCI) designed for scalable data collection with consumer hardware. Participants completed repeated runs of a P300 spelling/selection task within a serious game paradigm, enabling investigation of BCI skill acquisition across sessions and the effects of different visual stimulation textures on perceptual and performance outcomes.
- Participants
- 22
- Citations
- 1
- Size
- 132 MB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- nm000120
Oikonomou2016 – SSVEP MAMEM 2 dataset
EEG…extraction, classification ## Abstract Brain-computer interfaces (BCIs) have been gaining momentum in…
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 38
- HED
- v8.4.0
- Size
- 4.40 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000348
Yang et al. 2025 — A multi-day and high-quality EEG dataset for motor imagery brain-computer interface
EEGA multi-day, high-quality EEG dataset for motor imagery brain-computer interface research comprising 51 healthy subjects performing left and right hand motor imagery tasks across three sessions, with an additional 11 subjects performing 3-class motor imagery (left hand, right hand, foot). The dataset includes 59 EEG channels sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials (51 subjects × 3 sessions × 200 trials for 2-class + 11 subjects × 3 sessions × 300 trials for 3-class) with visual and auditory cues. This resource is designed to support the development and benchmarking of motor imagery BCI algorithms and classifiers.
- Participants
- 51
- Channels
- 59 (10-10)
- Citations
- 29
- HED
- v8.4.0
- Size
- 63.4 GB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
- nm000134
Alljoined-1.6M
EEG…A Million-Trial EEG-Image Dataset for Evaluating Affordable Brain-Computer Interfaces…
- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000141
Motor execution dataset from Wairagkar et al 2018
EEG- Participants
- 14
- Channels
- 19 (10-20)
- Citations
- 9
- HED
- v8.4.0
- Size
- 571 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
- nm000139
BNCI 2014-001 Motor Imagery dataset
EEG- Participants
- 9
- Channels
- 22 (10-10)
- Citations
- 90
- HED
- v8.4.0
- Size
- 672 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026