Control for the publication TESTING THE RELIABILITY OF GEOMETRIC MORPHOMETRIC AND COMPUTER VISION METHODS TO IDENTIFY CARNIVORE AGENCY USING BI-DIMENSIONAL INFORMATION (cropped images)
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/TDIEIT
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资源简介：
Cropped images to test the effect of the cortical areas surrounding tooth mark pits on bones modified by different types of carnivores. These are images with cropped tooth marks from the complete image datasets from the publications:
1. TESTING THE RELIABILITY OF GEOMETRIC MORPHOMETRIC AND COMPUTER VISION METHODS TO IDENTIFY CARNIVORE AGENCY USING BI-DIMENSIONAL INFORMATION. Submitted to Quaternary Science Advances.
2. Domínguez-Rodrigo M, Pizarro-Monzo M, Cifuentes-Alcobendas G, Vegara-Riquelme M, Jiménez-García B, Baquedano E. Computer vision enables taxon-specific identification of African carnivore tooth marks on bone. Sci Rep. 2024 Mar 22;14(1):6881. doi: 10.1038/s41598-024-57015-z. PMID: 38519515; PMCID: PMC10959944.
提供机构：
Harvard Dataverse
创建时间：
2024-12-05
