A Synchronized EEG–Behavioral Dataset of Skilled Shooters under Perceptual Constraints and Task-Induced Stress

Shooting is a complex motor skill that relies on the integration of neurocognitive and motor control, and its performance is significantly affected by perceptual constraints and task-induced stress. To date, no multimodal EEG dataset dedicated to shooting has been publicly available, limiting the reproducibility of related neural mechanism studies and algorithm development. We provide synchronized 32-channel EEG and seven behavioral metrics from 70 skilled male police cadets performing a simulated shooting task under two experimental designs: Experiment 1 (perceptual constraints): normal, noise (75 dB), and low-light (25 lux) conditions. Experiment 2 (task-induced stress): normal, long-distance (35 m), and hostage-rescue scenarios. Key features:32-channel EEG (Brain Products, 1 000 Hz, 10–20 layout) time-locked to millisecond-level trigger pulses. Seven behavioral variables from the MSH-1 precision shooting system: SCORE, SX, SY, COG, ATI, RTV, TIRE. Fully BIDS 1.8.0 compliant; compatible with EEGLAB, MNE-Python, FieldTrip. Raw (.edf) and preprocessed derivatives (filtered, ICA-cleaned, .mat) included. Sample & design 70 right-handed, healthy cadets (35 per experiment); within-subject 3-condition design; impedance < 10 kΩ; artifact rejection applied. Reuse See README.md (uploaded) for folder tree, variable dictionary, and code dependencies. License: CC BY 4.0. Cite DOI 10.5281/zenodo.18259545 and associated paper (under review). Funding NSFC 62006246, 82172058, 62376112, 81771926, 61763022; China Postdoc 2023M734315; Xi'an Youth Talent 959202413100.