Inter- and intraspecific morphometric divergences in a Seychelles endemic gecko genus [Dataset]
Ailuronyx_morphometrics.csv File that contains all 2D morphometric measurements collected in the field. landmark_pairs_cranium.csv & landmark_pairs_mandible.csv Files that contain paired landmark numbers corresponding to landmarks on each side of the skull. These pairs are required for the ‘bila...
| Autores: | , , , , , , , , , , |
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| Formato: | conjunto de datos |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:dnet:digitalcsic_::331f7bd43f7cd33a220e61ae079e76a7 |
| Acesso em linha: | http://hdl.handle.net/10261/432189 |
| Access Level: | acceso abierto |
| Palavra-chave: | Ailuronyx Cranium Cryptic species Mandible Micro-computed tomography Geometric morphometrics Multivariate morphometrics Western Indian Ocean anatomy skull tomography Gekkonidae morphometrics |
| Resumo: | Ailuronyx_morphometrics.csv File that contains all 2D morphometric measurements collected in the field. landmark_pairs_cranium.csv & landmark_pairs_mandible.csv Files that contain paired landmark numbers corresponding to landmarks on each side of the skull. These pairs are required for the ‘bilat.symmetry’ function in the geomorph package in R, which extracts the bilaterally symmetric component of shape used in subsequent analyses. Cranium_Landmarks & Mandible_Landmarks Folders containing individual subfolders for each landmarked specimen. Subfolder names give information about the speciems used in the analysis. Each subfolder contains one .fcsv file that stores all landmark data for a given specimen used in the analysis. Script_R_Ailuronyx_morphometrics.html & Script_R_Ailuronyx_morphometrics.qmd Quarto Markdown file (and its html pendant) containing R code used to obtain the main results of the analysis presented in the manuscript. Once the complete ZIP-folder is downloaded from ZENODO, there is no need to change the directory as the code is set up to run directly from the downloaded folder. The script was created in R v4.5.0 |
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