The dataset is comprised of 1.4 million procedurally-generated bicycle designs which are represented parametrically, as JSON files, and as rasterized images. The dataset is created through the use of
This study aimed to explore the predictive value of clinical and pelvic ultrasound parameters for diagnosing central precocious puberty (CPP) and to establish a clinically useful simplified prediction
