nm000284
STRUM: Small Team Reconnaissance Urban Missions
BEH EEG EMG MOTION Zarr
STRUM is a dyadic neuroergonomics dataset in which pairs of participants perform a collaborative urban-reconnaissance task while a time-synchronized multimodal sensor suite records both members simultaneously via Lab Streaming Layer. It covers 33 sessions and 66 participants, with high-density EEG, EMG, ECG/EOG, motion capture, eye-tracking, force plate and controller behavior. Each participant has their own subject directory, and the pairing is encoded in participants.tsv so that analyses can split by pair.
- Participants
- 66
- Channels
- 207 (biosemi)
- HED
- v8.4.0
- Size
- 512 GB
- Version
- v1.0.1
- Updated
- Sep 28, 2026