on003352
MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003352-blue…
- Participants
- 18
- Citations
- 1
- Size
- 214 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
78 results for "OPM-MEG" · page 5 of 8 · ranked by relevance
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- on003104
MNE-somato-data-bids (anonymized)
ANAT MEG[ Pitch and Duration Mismatch Negativity (MMN) in First-Episode Psychosis
ANAT MEG[ brain-computer interface task. Subjects attended to flickering visual stimuli at five frequencies (6.66, 7.50, 8.57, 10.00, and 12.00 Hz) presented sequentially, with 1104 total trials recorded at 250 Hz sampling rate. This dataset was used for comparative evaluation of state-of-the-art signal processing algorithms and classification methods for SSVEP-based BCIs.
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 40
- HED
- v8.4.0
- Size
- 11.4 GB
- Version
- v1.0.2
- Updated
- Aug 16, 2026
- on007640
Dataset of emotion recognition using validated video stimuli with large-scale behavioral survey and MEG recordings
BEH MEG…3. **MEG Recording**: Comprehensive MEG neural recordings from 23 participants, who viewed…
- Participants
- 23
- Size
- 88.8 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000121
Oikonomou2016 – SSVEP MAMEM 3 dataset
EEG Zarr verifiedA comparative evaluation dataset of steady-state visually evoked potential (SSVEP) based brain-computer interfaces, comprising 14-channel EEG recordings from 11 healthy subjects performing attention tasks on flickering visual stimuli at five different frequencies (6.66–12.00 Hz). The dataset includes preprocessed signals, artifact annotations, and comprehensive documentation of signal processing pipelines for benchmarking state-of-the-art BCI algorithms.
- Participants
- 11
- Channels
- 14 (10-10)
- Citations
- 39
- HED
- v8.4.0
- Size
- 277 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on005810
NOD-MEG
ANAT MEG…As a result, the NOD uniquely integrates three different modalities—fMRI, MEG…
- Participants
- 31
- Citations
- 1
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000120
Oikonomou2016 – SSVEP MAMEM 2 dataset
EEG Zarr verifiedA 256-channel EEG dataset from 11 healthy subjects performing a steady-state visually evoked potential (SSVEP) brain-computer interface task. Subjects focused attention on flickering visual stimuli at five different frequencies (6.66, 7.50, 8.57, 10.00, 12.00 Hz) to select commands. The dataset includes 1,104 trials acquired at 250 Hz sampling rate and was used to systematically evaluate state-of-the-art signal processing algorithms for SSVEP-based BCIs, achieving 74.42% mean accuracy with optimized configurations.
- Participants
- 11
- Channels
- 256 (egi-geodesic)
- Citations
- 38
- HED
- v8.4.0
- Size
- 9.72 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026