Published March 7, 2019
| Version v2
Dataset
Open
Supporting data for: A method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits
Authors/Creators
- 1. CNRS, Université de Bordeaux, UMR 5199 PACEA, France
Description
The three following datasets are related to the article A method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits (Santos, Guyomarc'h, Rmoutilova, & Bruzek, 2019):
- data_refPELVIS_Santos2019AJPA.csv: is described as the "reference sample" of 592 ossa coxae in the article. This is the learning dataset available in the PELVIS R package
- data_518RightBones_Santos2019AJPA.csv: the dataset of 518 right ossa coxae used to discuss asymmetry and the impact of lateralization on the sex estimates produced by PELVIS
- data_3D_Santos2019AJPA.csv: the virtual coxal data acquired through 99 CT-scan images
Notes
The three CSV files are using the UTF-8 encoding system, and a semicolon (";") as field separator.
'NA' is the character string used as the indicator for missing values.