PCI Paleontology

256

Title *

Introducing ‘trident’: a graphical interface for discriminating groups using dental microwear texture analysisuse asterix (*) to get italics

Authors *

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"

Year *

2024

Picture *

Abstract *

<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>

Indicate the full web address (DOI or URL) giving public access to these data (if you have any problems with the deposit of your data, please contact contact@paleo.peercommunityin.org). In case all raw data are included in the preprint, indicate the DOI or URL of the preprint. *

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://

Indicate the full web address (DOI or URL) giving public access to these scripts (if you have any problems with the deposit of your scripts, please contact contact@paleo.peercommunityin.org). In case all raw scripts are included in the preprint, indicate the DOI or URL of the preprint. *

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://

Indicate the full web address (DOI, SWHID or URL) giving public access to these codes (if you have any problems with the deposit of your codes, please contact contact@paleo.peercommunityin.org). In case all raw codes are included in the preprint, indicate the DOI or URL of the preprint. *

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://

Keywords (optional)

Diet inference; DMTA; Multivariate analysis

Methods that require specific expertise (optional)

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Thematic fields *

Paleoecology, Vertebrate paleontology

Suggested reviewers - Suggest up to 10 reviewers (provide names and Email addresses). (Optional)

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.

e.g. John Doe john@doe.com

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

Opposed reviewers - Suggest up to 5 people not to invite as reviewers. (Optional)

e.g. John Doe john@doe.com

Submission date

2023-09-30 22:56:03

Recommender

Emilia Jarochowska

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