BEETL Competition 2021 Motor Imagery Dataset A — transfer learning benchmark
…The dataset contains 63-channel EEG recordings at 500 Hz with four…
- Participants
- 3
- Channels
- 63 (10-10)
- HED
- v8.4.0
- Size
- 216 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
100 results for "EEG preprocessing" · page 6 of 10 · ranked by relevance
…The dataset contains 63-channel EEG recordings at 500 Hz with four…
A large-scale EEG dataset comprising recordings from 7,933 participants across India and Tanzania, collected through field-based research programs with nonspecialist teams. The dataset includes electroencephalographic recordings alongside demographic metadata (age, sex, income) and mental health assessments (Mental Health Quotient scores). Data quality was validated using PREP and FASTER methods and demonstrated comparability to controlled laboratory benchmarks, establishing the feasibility of cost-effective, high-throughput EEG data collection in diverse, low- and middle-income country settings.
[. Stimulation parameters, contact pairs, current intensities, and evoked effects are documented in event files, enabling analysis of cortical responses to electrical stimulation.
Imported from OpenNeuro ds007262
This dataset comprises 64-channel EEG recordings with concurrent ECG and PPG measurements from 30 healthy young adults during resting state and a verbal working memory task. Participants performed digit span recall under four presentation modes (simultaneous, fast sequential, fast sequential with delay, and slow sequential), enabling investigation of neural oscillations and peripheral physiological responses during working memory encoding, maintenance, and retrieval. The dataset includes behavioral accuracy measures and trial-by-trial performance metrics.
…GUI v5.0.1, indicated EEG values are 24 times larger than…
…per session ## Preprocessing - **Preprocessing applied**: False ## Signal Processing - **Classifiers**: MDRM, CCA - **Feature…