Data for: Non-invasive morphological studies of a tomographic dataset of Funerary Urns from Middle Balsas region, Michoacán, Mexico

Studies of funeral context using X-ray tomography provide a non-invasive method for the measurement of the context distribution, textural descriptors, topological and morphological properties of the pieces inside the context.
This work presents a computational framework that provides the methods to process the raw data produced by clinical X-ray tomography. The objective is to create a description of the distribution of the elements inside the urn and obtain tridimensional models of the pieces composing the funeral context. The models are subsequently evaluated using a set of morphological measurements that provide descriptors of each item from a set of funerary urns from the Middle Balsas region in Michoacán, Mexico.
It was observed that the distribution of bones and metal objects across the urns was non-uniform; some general burial practice can be observed in some of the urns, but the funerary context in each urn present differences in the amount of bone fragments or metal volume, and not all urns contain metal objects. Urns that do contain metal objects contain different quantities, and the contexts have a different distribution.
This methodology is another way to gather accurate information of the context items’ positions in a three-dimensional environment and understand better the process involved in the funerary practice.