Supporting data for: A method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits

<p>The three following datasets are related to the article <em>A method of sexing the human os coxae based on logistic regressions and Bruzek&#39;s nonmetric traits</em> (Santos, Guyomarc&#39;h, Rmoutilova, &amp; Bruzek, 2019):</p> <ul> <li><strong>data_refPELVIS_Santos2019AJPA.csv</strong>: is described as the &quot;reference sample&quot; of 592 ossa coxae in the article. This is the learning dataset available in the <a href="https://gitlab.com/f.santos/pelvis">PELVIS R package</a></li> <li><strong>data_518RightBones_Santos2019AJPA.csv</strong>: the dataset of 518 right ossa coxae used to discuss asymmetry and the impact of lateralization on the sex estimates produced by PELVIS</li> <li><strong>data_3D_Santos2019AJPA.csv</strong>: the virtual coxal data acquired through 99 CT-scan images</li> </ul>