M3CV: Multi-subject, Multi-session, Multi-task EEG Database
M3CV is a multi-subject, multi-session, multi-task EEG database comprising 64-channel recordings from 95 healthy young adults across two sessions. The dataset includes 14 types of EEG signals spanning resting state, motor execution, transient sensory stimulation, steady-state visual/auditory/somatosensory evoked potentials, and P300 oddball paradigms. Originally developed for EEG-based biometric identification and verification challenges, this BIDS-formatted version reconstructs pseudo-continuous EEG from preprocessed epochs, providing a comprehensive resource for brain-computer interface and biometric research.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.
Files
How to use the data (for agentic research) license, citation, download commands
What it is
- Modalities
- EEG
- Participants
- 95
- Size
- 21.6 GB
- Tasks
- aep, motorFoot, motorLHand, motorRHand, p300, restEC, restEO, sep, ssaep, sssep, ssvep, ssvepSA, vep
License and terms
- License
- CC BY 4.0
- Recommended citation
- Huang, G., Hu, Z., Chen, W., Zhang, S., Liang, Z., Li, L., Zhang, L., & Zhang, Z. (2026). M3CV: Multi-subject, Multi-session, Multi-task EEG Database (Version v1.0.0) [Data set]. NEMAR. https://doi.org/10.82901/nemar.nm000166
- Reference 1
- https://doi.org/10.21105/joss.01896
- Reference 2
- https://doi.org/10.1038/s41597-019-0104-8
Where the bytes are
- Latest version (always current)
- https://data.nemar.org/nm000166/latest/
- This version (v1.0.0)
- https://data.nemar.org/nm000166/v1.0.0/
How to download
- The dataset
-
nemar dataset download nm000166Clones and fetches in one step. Content under stimuli/ and derivatives/ is skipped by default because those trees can be large; add --stimuli --derivatives for the whole thing. - A subset, one step
-
nemar dataset download nm000166 --subjects sub-01,02Also filters by --sessions, --tasks, --runs, --datatypes, --include and --exclude. - A subset, step 1
-
nemar dataset clone nm000166Clones git-annex pointers only; fetches no file content. Creates ./nm000166. - A subset, step 2
-
cd nm000166The get command below reads the clone's annex, so it only works from inside the clone. - A subset, step 3
-
nemar dataset get <files>Pulls the files you actually need. Skips stimuli/ and derivatives/ unless the path you ask for is under one of them. - One small file
- https://data.nemar.org/nm000166/v1.0.0/participants.tsv A direct HTTPS fetch works for any single file.
Assess fit without downloading
- Participants table
- https://data.nemar.org/nm000166/v1.0.0/participants.tsv
- Dataset description
- https://data.nemar.org/nm000166/v1.0.0/dataset_description.json
- Directory listing
- https://data.nemar.org/nm000166/v1.0.0/?format=json
- Catalog record
- https://api.nemar.org/datasets/nm000166