Published August 12, 2021 | Version 1.0.0
Dataset Open

SVAD_US

  • 1. University of Nevada, Reno

Description

The dental and skeletal indicators were collected from full body CT images of individuals aged between birth and 22 years, generated in the past ~10 years. There are 64 variables in the dataset and include diaphyseal lengths, epiphyseal fusion, and dental development. Diaphyseal lengths were taken to the nearest hundredth of a millimeter. See Stull et al (2014) for a detailed methodology. The remaining variables are ordinal.  Depending on the element and location there was a different epiphyseal fusion staging system employed: a seven-stage system was used for the long bone epiphyses and the calcaneal tuberosity; a three-stage system for the pelvis; a binary absent/present was used for the carpals and tarsals, ossification of the elements of the proximal and distal humerus (e.g., humeral head, lesser tubercle, greater tubercle, capitulum, trochlea, composite epiphyses), and the patella. Dental development was scored using a 13-stage system (from 1 to 13) defined by AlQahtani, Hector, & Liversidge (2010). See Corron et al. (2021) for detailed information regarding ordinal data collection methodology; the publication includes the abbreviations and full variable names along with its staging system.

Basic Key Code:
*DL_L/R or *DB_R/L == diaphyseal lengths
*EF_L/R == epiphyseal fusion
*Oss == ossification 
*man_ and max_ == dental development

References

AlQahtani, S., Hector, M., & Liversidge, H. (2010). Brief communication: the London atlas of Human tooth development and eruption. 142, 461-490. 

Corron, LK, et al., Standardizing ordinal subadult age indicators: Testing for observer agreement and consistency across modalities. Forensic Science International 320, 110687 (2021).

Stull, K., L'Abbé, E., & Ousley, S. (2014). Using multivariate adaptive regression splines to estimate subadult age from diaphyseal dimensions. American Journal of Physical Anthropology, 154(3), 376-386. 

 

Notes

Funded by the National Institute of Justice (NIJ Award 2015-DN-BX-K409) and the National Science Foundation (BCS-1551913)

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