Supplementary Dataset for Morphofunctional Analysis of the Forelimb in Caraguatypotherium munozi (Notoungulata, Mesotheriidae)

DescriptionThis dataset was originally developed as part of the author's doctoral thesis at Universidad Austral de Chile (2021). It supports a morphofunctional analysis of the forelimb in Caraguatypotherium munozi (Notoungulata; Mesotheriidae), with a focus on scratch-digging adaptations assessed through biomechanical and kinematic indicators.

Following its initial development, the dataset was revised and validated within the framework of the Fondecyt Iniciación Project Nº 11231111. These data contribute to a comparative framework for morphofunctional reconstructions in extinct mammals and promote reproducibility and further research.

The dataset includes raw osteological measurements, calculated functional indices—such as effective mechanical advantage (EMA)—wrist joint mobility (range of motion, RoM), and outputs from principal component analyses (PCA). Comparative data from extant mammals, including Vombatus ursinus, are also provided.

Contents

Supplementary File 1.xlsx – Osteological Measurements DatasetRaw linear measurements of forelimb bones (humerus, radius, ulna, manus) from C. munozi, other mesotheriids, and extant mammals used for functional index calculations.

Supplementary File 2.xlsx – Functional Indices and EMA ValuesCalculated functional indices and EMA values for the elbow and wrist joints across all taxa.

Supplementary File 3.xlsx – Joint Angles and Wrist Posture DataAngular measurements and estimated wrist postures (flexion/extension) in C. munozi, with comparative RoM data from Vombatus ursinus.

Supplementary File 4.xlsx – Principal Component Analysis CoordinatesPCA scores and loading values based on osteological and functional variables, used to position taxa within a morphofunctional space.

measurement.txt – R Script for PCA on Raw MeasurementsR code for PCA using prcomp and FactoMineR on osteological variables, including data transformation and graphical output.

index.txt – R Script for PCA on Functional IndicesR code for PCA on functional indices and EMA values, with clustering and plots of variable contributions.