Replication Data for: "Deep learning classification of tooth scores made by different carnivores: achieving high accuracy when comparing African carnivore taxa and testing the hominin shift in the balance of power".

Replication Data for: Computer vision enables taxon-specific identification of African carnivore tooth marks on bone

Image data set of tooth marks of lions, leopards, spotted hyenas and crocodiles used to create model

Replication Data for: Meta-learning provides a robust framework to discern taxonomic carnivore agency from the analysis of tooth marks on bone: Reassessing the role of felids as predators of Homo habilis.

Image bank and code for taphonomic differentiation of the four main African carnivores in taphonomic

Diagnostic accuracy of the deep learning system.

R Codes for comparing knowledge scores by groups.

High-resolution portability of 245 polygenic scores when derived and applied in the same cohort

Abstract The low portability of polygenic scores (PGS) across global populations is a

Assessing the Accuracy of Different Supervised Classification Methods of Satellite Image

Assessing the accuracy of the classification map is an essential area in remote sensing digital imag