on003810
Motor Imagery vs Rest - Low-Cost EEG System
EEG
…The first run, called RUN0, involved real grasping movement in order to…
- 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 "real-time neurofeedback" · page 3 of 10 · ranked by relevance
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- nm000266
Sosulski et al. 2019 — Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
EEG…optimization part used time-limited trials (20 minutes per strategy), validation part…
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 3.68 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- on003775
SRM Resting-state EEG
EEG…The time points for the subject's EEG recording(s), are listed…
- Participants
- 111
- Channels
- 64 (10-10)
- Citations
- 35
- Size
- 20.7 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…memory item in a fine time scale; (3) correlating cognitive load and…
- Participants
- 86
- Channels
- 63 (10-10)
- Citations
- 61
- Size
- 253 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003801
Neural Tracking to go
EEGImported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004444
The BMI-HDEEG dataset 1
EEG[
- Citations
- 10
- Size
- 48.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004624
Intracranial recordings using BCI2000 and the CorTec BrainInterchange
ANAT iEEGThis dataset comprises intracranial EEG recordings collected using the CorTec BrainInterchange implantable device and the BCI2000 software platform, developed as part of an ecosystem of technology and protocols for adaptive neuromodulation research in humans. The data support research into closed-loop neuromodulation approaches and adaptive brain-computer interface systems. Recordings were obtained under IACUC-approved protocols in collaboration with Mayo Clinic and academic partners.
- Participants
- 3
- Size
- 19.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000339
Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population
EEGA large-scale longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings across 598 sessions with more than 250,000 trials of motor imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
- Participants
- 62
- Channels
- 60 (10-10)
- Citations
- 59
- HED
- v8.4.0
- Size
- 722 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- nm000250
Dreyer et al. 2023 — A large EEG database with users' profile information for motor imagery brain-computer interface research
EEG…rehabilitation, assistive_technology, neurofeedback, user_training - **Environment**: laboratory - **Online feedback**: True ## Tags…
- Participants
- 87
- Channels
- 27 (10-10)
- Citations
- 38
- HED
- v8.4.0
- Size
- 15.8 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- nm000206
Neuroergonomic 2021 dataset
EEGA multi-session EEG dataset acquired from 15 healthy participants performing resting state and graded cognitive tasks (MATB-II at three difficulty levels). The dataset comprises 62-channel EEG recordings at 500 Hz sampling rate designed for passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. Raw EEG data are provided with standardized event annotations using HED 8.4.0 schema and MOABB-compatible feature extraction pipelines (bandpower analysis and Riemannian covariance methods) for benchmarking purposes.
- Participants
- 15
- Citations
- 61
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026