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Abstract Oral history indicates that a large wooden trough held in storage at the University of Kentucky’s William S. Webb Museum of Anthropology was a component of the saltpeter mining operation in Mammoth Cave in the late 18th and early 19th centuries, worked largely by enslaved persons. We used multiple heritage science methods, including radiocarbon wiggle-match dating, tree-ring dating, scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM–EDS), and optical scanning, combined with historical research, to examine the trough. Our analysis supports the oral history of the trough as an artifact of the mining system in Mammoth Cave. This case study illustrates how heritage science methods can provide corroboration for the origins and biographies of poorly documented historical artifacts. 

Abstract There is a growing consensus that global patterns of modern human cranial and dental variation are shaped largely by neutral evolutionary processes, suggesting that craniodental features can be used as reliable proxies for inferring population structure and history in bioarchaeological, forensic, and paleoanthropological contexts. However, there is disagreement on whether certain types of data preserve a neutral signature to a greater degree than others. Here, we address this unresolved question and systematically test the relative neutrality of four standard metric and nonmetric craniodental data types employing an extensive computational genotype–phenotype comparison across modern populations from around the world. Our computation draws on the largest existing data sets currently available, while accounting for geographically structured environmental variation, population sampling uncertainty, disparate numbers of phenotypic variables, and stochastic variation inherent to a neutral model of evolution. Our results reveal that the four data types differentially capture neutral genomic variation, with highest signals preserved in dental nonmetric and cranial metric data, followed by cranial nonmetric and dental metric data. Importantly, we demonstrate that combining all four data types together maximizes the neutral genetic signal compared with using them separately, even with a limited number of phenotypic variables. We hypothesize that this reflects a lower level of genetic integration through pleiotropy between, compared to within, the four data types, effectively forming four different modules associated with relatively independent sets of loci. Therefore, we recommend that future craniodental investigations adopt holistic combined data approaches, allowing for more robust inferences about underlying neutral genetic variation.