CRYPTO and PROVIDE EEG Baseline Data
Imported from OpenNeuro ds002181
- Participants
- 226
- Channels
- 124 (egi-geodesic)
- Citations
- 7
- Size
- 150 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
Showing 10 of 566 datasets · page 54 of 57
Imported from OpenNeuro ds002181
Imported from OpenNeuro ds004855
Imported from OpenNeuro ds004661
Imported from OpenNeuro ds005628
Imported from OpenNeuro ds004368
Imported from OpenNeuro ds004849
Imported from OpenNeuro ds001787
Imported from OpenNeuro ds003800
MEG-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.
fNIRS 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