Mean and standard deviation for demographic attributes of the 200 Metropolitan Statistical Areas (MSAs) considered in our study. Statistics of metropolitan statistical areas.

Results for the phylogenetic signal analysis (mean λ).

R code for analysis of playback experiments

Data set for PGLS regression.

We present a new open source software tool called BEASTling, designed to simplify the preparation of Bayesian phylogenetic analyses of linguistic data using the BEAST 2...

Explaining the diversity of languages across the world is one of the central aims of typological, historical, and evolutionary linguistics. We consider the effect of language...

Each cell contains number of categories meeting those conditions.

Data was collected in a laboratory setting. The experimental interface was created in PsychoPy (standalone version). Abbreviations used in column headings: HNR =...

Processed data from the charades experiment. Contains median, max, and min values of the acoustic variables for each meaning. Used for calculating iconic and median distance.

* still significant after Holm-Bonferroni correction Results for PGLS.

Data sets for phylogenetic signal analyses.

Appendix S1-S3, Table S1 and Software S1. Appendix S1. Term list. List of all words considered in our main analysis. Appendix S2. Term examples. Examples for each term...

The feature groups are defined in Table 3; “population” refers to “raw diff log population.” Average accuracy predicting links between MSA pairs, and its Monte Carlo standard...

Processed data from the charades experiment. Contains average accuracy for each meaning. Used to compare to accuracies for each meaning in the playback experiment.

Results for Prediction 3 regressions.

Results for Prediction 2: Changes in JS divergence in the two sides’ word distributions.

Relative substitution rates of the ten slowest and fastest changing features in our example analysis of Austronesian typological data.

Differences between linked and (sampled) non-linked pairs of cities, summarized by their mean and its standard error.