Submit a preprint

256

Introducing ‘trident’: a graphical interface for discriminating groups using dental microwear texture analysisuse asterix (*) to get italics
Thiery G., Francisco A., Louail M., Berlioz E., Blondel C., Brunetière N., Ramdarshan A., Walker A. E. C., Merceron G.Please use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2024
<p>This manuscript introduces trident, an R package for performing dental microwear texture analysis and subsequently classifying variables based on their ability to separate discrete categories. Dental microwear textures reflect the physical properties of the food, the feeding ecology of a given species, and niche partitioning when considering multi-specific communities. The trident package comes with independent functions and a user interface, trident, enabling easy and fast proficiency. It can import .SUR files, then remove aberrant peaks and possibly polynomial surfaces. Next, it can measure up to 24 texture parameters and their statistics of heterogeneity, generating 384 variables. It also ranks any number of variables using five different methods, displays the results in multivariate analyses, and exports the results into R, providing access to its large asset of libraries.</p> <p>We then present these features in three case studies, showing how trident helps answer questions commonly investigated by paleontologists and archaeologists. In the first case study, we separate four groups of domestic pigs based on their dietary composition. In the second case study, we identify microwear texture patterns in a large database of 15 primate species and relate these patterns to biomechanical and ecological factors. The third case study investigates the dental microwear textures of four extant ruminants to infer the diet of an extinct antelope from the Pleistocene of Greece. These case studies show how trident can leverage dental microwear texture analysis results.</p>
https://hal.science/hal-04222508, https://doi.org/10.48579/PRO/UGATBM, https://doi.org/10.48579/PRO/NHORAY, https://doi.org/10.48579/PRO/RX0KTT, https://doi.org/10.48579/PRO/9ULNW7You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
https://doi.org/10.5281/zenodo.8402604You should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://
https://doi.org/10.5281/zenodo.8402604You should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://
Diet inference; DMTA; Multivariate analysis
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Paleoecology, Vertebrate paleontology
Kristin L. Krueger - kkrueger4@luc.edu, Kari Prassack - kari_prassack@nps.gov, Christopher W. Schmidt - cschmidt@uindy.edu, Mugino KUBO - mugino@k.u-tokyo.ac.jp, Neil F. Adams - nfa10@leicester.ac.uk, Beatriz Gamarra - beagamarra@gmail.com, Julien Louys - j.louys@griffith.edu.au, Jordan Bestwick - j.bestwick@bham.ac.uk, Laura Martinez - lmartinez@ub.edu, Mark Purnell - map2@leicester.ac.uk , Flavia Strani [flavia.strani@uniroma1.it] suggested: Thank you for inviting me to review a manuscript for PCI Paleontology, I however have little expertise with DMTA analysis and would be unable to properly review the authors' work. , Flavia Strani [flavia.strani@uniroma1.it] suggested: I suggest this other potential reviewer: , Flavia Strani [flavia.strani@uniroma1.it] suggested: Prof. Miriam Belmaker: belmaker@utulsa.edu, Pauline Guenser suggested: Alexandre Assemat, Kari Prassack suggested: Peter Ungar or Robert Scott. No need for them to be recommenders of PCIPaleo. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
e.g. John Doe [john@doe.com]
2023-09-30 22:56:03
Emilia Jarochowska