zenodoopen

Quaternary diversity dynamics of Australian reptiles - Electronic supplement

Supplement paper 2 Electronic data files File ES2.1 - Metadata for the included specimens (.xlsx) File ES2.2 – Folder containing surface models (.ply) of the crania of the included specimens, landmark pairs, and sliding landmark data File ES2.3a – 3D landmark coordinates of maxillae (.tps) File ES2.3b – 3D landmark coordinates of maxillae (missing data estimated, curves equidistant) (.tps) File ES2.4a – 3D landmark coordinates of frontals (.tps) File ES2.4b – 3D landmark coordinates of frontals (missing data estimated, curves equidistant) (.tps) File ES2.5 – R code for evaluating landmark estimation (.R) File ES2.6 – R code for estimating effects of sample size (.R) File ES2.7 – R code for estimating effects of missing landmarks (.R) File ES2.8 – Results of landmark estimation performance analyses (.csv) File ES2.9 – Pairwise Procrustes distances of different groupings and CVA results (maxillae; .xlsx) File ES2.10 - Pairwise Procrustes distances of different groupings and CVA results (frontals; .xlsx) File ES2.11 - Pairwise Procrustes variances of different groupings (maxillae; .xlsx) File ES2.12 - Pairwise Procrustes variances of different groupings (frontals; .xlsx) File ES2.13 – Results of sample size analyses (.csv) File ES2.14 – Results of missing landmarks analyses (.csv) File ES2.15 – Results of estimation vs. deletion analyses (.xlsx)   Supplement paper 3 Electronic data files File ES3.1 – Metadata for the included specimens (.csv) File ES3.2 – Folder containing landmark file (.tps) and bilateral landmark pairs (.txt) File ES3.3 – Metadata for the specimens included in compactness analyses and results of the compactness measurements (.csv) File ES3.4 – ImageJ Macro for measuring vertebral compactness (.ijm) File ES3.5 – Accuracy of classifications using CVA (.xlsx) File ES3.6 – Results of Procrustes ANOVAs testing for influences of taxonomic groupings, size, and the interaction of grouping and size on vertebral shape (.txt) File ES3.7– Typicality probabilities of fossils belonging to extant species (.xlsx) File ES3.8 – Procrustes distances between fossils of different sites / groupings and extant species (.xlsx) File ES3.9 – Procrustes variance in juvenile versus adult specimens (.xlsx) File ES3.10 – Phylogenetic signal of shape results (.txt) File ES3.11 – Results of the trajectory analyses (.xlsx)   Supplement paper 4 Electronic data files File ES4.1 – Metadata for tissue specimens and data for correlation analyses (.csv) File ES4.2 – Folder containing surface models (.ply) of the included crania File ES4.3 – Metadata for alcohol specimens (maxillae) (.csv) File ES4.4 – Metadata for alcohol specimens (Rankinia maxillae) (.csv) File ES4.5 – Metadata for alcohol specimens (Rankinia crania) (.csv) File ES4.6 – 3D landmark coordinates of maxillae (.tps) File ES4.7 – Folder containing 3D landmark files and landmark pairs of population cluster analyses File ES4.8 – Procrustes distances between genera means, plus statistics (.xlsx) File ES4.9 – R code for evaluating landmark estimation (.R) File ES4.10 – Occurrence points used for creating the niche models (.csv) File ES4.11 – Folder containing SNAPP tree files (.trees) and log files (.log) of the 4 SNAPP runs File ES4.12 – Model outputs of SSDM ensemble models using different GCMs (.xlsx)   Supplement paper 5 Electronic data files File ES5.1 – Supplementary references (.docx) File ES5.2 – Body size, microhabitat and spiny tail data of the 2877 squamate species used in the study (.csv) File ES5.3 – Tree file (.tre) File ES5.4 – Results of the D statistic (.csv) File ES5.5 – Results of the fitPagel funtion (.csv) File ES5.6 – Phylogenetic ANOVA results (spiny tails vs microhabitat) (.csv) File ES5.7 – Phylogenetic ANOVA results (spiny tails vs. body size) (.csv) File ES5.8 – Phylogenetic logistic regression results (.csv) File ES5.9 – Phylogenetic ANOVA results (microhabitat vs body size) (.csv) File ES5.10 – Results of the HiSSE models (.csv)

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship: 4
Harmonization: 4
Access: 16
Reuse readiness: 8
Engagement: 0