Abstract This paper presents a novel dataset of 21 elite female football athletes comprising 17 days of actigraphy, well-being, caffeine consumption, screen time, and a daily hand strength test. This dataset aims to provide a comprehensive understanding of the interplay between lifestyle factors, sleep, and athletic performance. Sleep is a crucial process for physical and mental recovery, memory retention, and brain development. The quality of athletes’ sleep is significantly impacted by factors such as rigorous training schedules, stress, light exposure, and caffeine consumption. By examining these factors in detail, this dataset can aid in the development of personalised training models that take into account each athlete’s individual sleep patterns and recovery phases. Such an approach aims to optimise training and recovery strategies to improve athletes’ overall performance and well-being.
Boeker et al. (2026) studied this question.