CRISP: Bayesian Model Data for Sex Estimation from Cremated Human Remains

A prehistoric Italian sample of 155 individuals with gender-specific grave goods was used to develop a Bayesian model for sex assessment in cremation contexts. The model is based on 21 postcranial metric variables and was validated using an independent Austrian prehistoric sample of 45 individuals. The dataset supports the CRISP open-source software and demonstrates the model's 89% accuracy in sex prediction.

Use Cases

• Sex estimation from cremated human remains based on 21 postcranial metric variables.
• Validation of metric sex estimation methods against morphological assessments.
• Identifying deposits of cremated remains composed of more than one individual.
• Comparing the performance of Bayesian, regression, and cut-off point methods for sex prediction.

Strengths

• Model achieved 89% accuracy in sex prediction on the training sample.
• Includes a validation sample of 45 individuals from a different geographic region.
• Data is associated with the open-source CRISP software tool.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to the specific Italian and Austrian prehistoric samples.

Provenance

Source

figshare, author Lukas Waltenberger.

Collection Method

Data used for developing binary logistic regression and Bayesian models.

Freshness

Last updated 2026-05-05 17:30:52; freshness should be verified.

Geography

Prehistoric Italy (training sample) and Austria (validation sample).