Data from: A new family of dissimilarity metrics for discrete character matrices that include inapplicable characters and its importance for disparity studies

Melanie J. Hopkins, Katherine St. John & Katherine St John
The use of discrete character data for disparity analyses has become more popular, partially due to the recognition that character data describe variation at large taxonomic scales, as well as the increasing availability of both character matrices co-opted from phylogenetic analysis and software tools. As taxonomic scope increases, the need to describe variation leads to some characters that may describe traits not found across all the taxa. In such situations, it is common practice to...
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