on004849
STRONG
EEG
Imported from OpenNeuro ds004849
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 2
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
Showing 10 of 570 datasets · page 55 of 57
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- on001787
EEG meditation study
EEGImported from OpenNeuro ds001787
- Participants
- 24
- Channels
- 64
- Citations
- 12
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003800
Auditory Gamma Entrainment
EEGImported from OpenNeuro ds003800
- Participants
- 13
- Channels
- 19 (10-20)
- Size
- 364 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000229
Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
ANAT MEGMEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.
- Participants
- 27
- Citations
- 42
- Size
- 99.3 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000175
fNIRS Finger Tapping
NIRSfNIRS finger tapping with lateralized auditory cues. 5 subjects, 56 NIRS channels (8 sources, 16 detectors incl. 8 short), NIRx NIRScout, 7.8 Hz, SNIRF format. 3 conditions x 30 trials. Zenodo DOI: 10.5281/zenodo.6575155
- Participants
- 5
- Size
- 47.4 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000165
MUniverse Grison et al 2025
EMGBIDS-EMG dataset from Grison et al. 2025 - HDsEMG recordings of tibialis anterior during isometric contractions at 10-70% MVC, 1 subject, 128-channel grids (2x64), with concurrent intramuscular EMG ground truth labels (MUniverse benchmark)
- Participants
- 1
- Size
- 2.68 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000159
MUniverse Avrillon et al 2024
EMGBIDS-EMG dataset - HDsEMG recordings of tibialis anterior and vastus lateralis during isometric contractions at 10-80% MVC, 16 subjects, 256-channel grids (MUniverse benchmark)
- Participants
- 16
- Size
- 5.51 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000155
MUniverse Caillet et al 2023
EMGBIDS-EMG dataset - HDsEMG recordings of tibialis anterior during isometric contractions at 30% and 50% MVC, 6 subjects, 256-channel grids (MUniverse benchmark)
- Participants
- 6
- Size
- 448 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000136
Guttmann-Flury et al. 2025 (P300) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEG- Participants
- 31
- Channels
- 62 (10-10)
- Citations
- 8
- HED
- v8.4.0
- Size
- 7.34 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- nm000311
Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)
EEG- Participants
- 25
- Channels
- 71 (10-10)
- Citations
- 80
- HED
- v8.4.0
- Size
- 88.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026