Pure-Load Tensor (PLT) Validation Dataset: Daily Training and Physiological Data from 9 Endurance Athletes (2024)

This dataset contains daily training and physiological records from 9 endurance athletes, spanning 226 consecutive days each (totaling 2,034 observations). The variables include Training Stress Score (TSS), heart rate variability (HRV, rMSSD), resting heart rate (rHRM), and 5-minute mean maximal power (MMP5). The dataset was designed to support the formal validation of the Pure-Load Tensor (PLT), a novel tensor-based representation of endurance training stimuli that integrates external load, physiological state, and temporal structure. Unlike scalar training load metrics such as TSS, PLT preserves intra-session sequence and physiological context, aiming to improve short-term recovery and performance predictions.