Data from: Biases with the Generalized Euclidean Distance in disparity analyses with high levels of missing data

Oscar E.R. Lehmann, Martin D. Ezcurra, Richard J. Butler & Graeme T. Lloyd
The Generalized Euclidean Distance (GED) has been extensively used to conduct morphological disparity analyses based on palaeontological matrices of discrete characters. This is in part because some implementations allow the use of morphological matrices with high percentages of missing data without needing to prune taxa for a subsequent ordination of the data set. Previous studies have suggested that this way of using the GED may generate a bias in the resulting morphospace, but a detailed...
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