Context In the scope of my Research Internship at the Faculty of Health Sciences of UCT, I had to find correlations between Scapulae features such as glene version or tilt and the parameters of my statistical shape model. I developped a Scala app based on Scalismo, to build a database as big as one could desire using the generative properties of SSM. The SSM was built with 76 scapulae, so it reduces the potential bias. Content Each row represents a mesh (a 3D model of a Scapulae) with its features (Critical Shoulder Angle, Tilt, Version, Width, Length) and the parameters of the SSM projected on the first 10 principal components. Acknowledgements This dataset was built with the help of my colleagues at the Human Biology department of UCT and also thanks to the GRAVIS department of the University of Basel who developped the Scalismo library that allows everyone to start playing with statistical shape models.