drowsy-driving-reaction-time-eeg

Sustained-attention driving EEG: 40 sessions as float16 arrays with lane-drift trials

This repository is a mirror for reproducible builds: it holds the files produced once from the published originals listed below by the processing described here, so that later builds get exactly the same bytes (SHA256SUMS gives the SHA-256 of each file). Please cite and credit the original authors.

Contents

For 40 of the 62 sessions, in sessions/:

• <session>.npy: float16 microvolts [30 channels, samples] at 250 Hz: the 30 scalp channels (A1/A2 references and the vehicle-position channel dropped), consecutive sample pairs averaged from 500 Hz, clipped to +-30000;
• <session>_trials.csv: each lane drift's deviation onset, reaction time (response onset minus deviation onset) and response offset, in seconds from the start of the recording, from event codes 251/252, 253 and 254.

raw/<session>.set: the raw source files of the other 20 sessions, unchanged (EEGLAB format, as published on figshare).

Total: 9.82 GB. Check a download with sha256sum -c SHA256SUMS.

100 files; their SHA-256 are listed in SHA256SUMS.

Source

• Z. Cao, C.-H. Chuang, J.-K. King and C.-T. Lin, "Multi-channel EEG recordings during a sustained-attention driving task", Scientific Data 6, 19 (2019), https://doi.org/10.1038/s41597-019-0027-4. Data: "Multi-channel EEG recordings during a sustained-attention driving task (raw dataset)", figshare, version 5, https://doi.org/10.6084/m9.figshare.6427334.

Licence

The raw dataset is released under Creative Commons Attribution 4.0 International (CC BY 4.0); the derived files in sessions/ are shared under the same licence, and the files in raw/ are unchanged copies.

Attribution: EEG recordings by Z. Cao, C.-H. Chuang, J.-K. King and C.-T. Lin (CC BY 4.0); in sessions/, channels selected, downsampled to 250 Hz, stored as float16; raw/ unchanged.

No endorsement by the original authors is implied.