@article{RDM,
      recid = {13681},
      author = {Jones, Menna and Close, Roger},
      title = {Data from: Standardising fossil disparity metrics using  sample coverage},
      publisher = {Dryad},
      address = {2024-10-10},
      number = {RDM},
      abstract = {Estimating past biodiversity using the fossil record is a  central goal of palaeobiology. Because raw estimates of  biodiversity are biased by variation in sampling intensity  across time, space, environments, and taxonomic groups,  sampling standardisation is routinely applied when  estimating taxonomic diversity (e.g., species richness).  However, sampling standardisation is less commonly used  when estimating alternative currencies of biological  diversity, such as morphological disparity. Here, we show  the effects of standardising fossil time series of  morphological disparity to equal sample completeness, or  “coverage” of the underlying taxon-frequency distribution.  We apply coverage-based standardisation to three published  datasets of discrete morphological characters (echinoderms,  ichthyosaurs, and ornithischian dinosaurs), and quantify  disparity using two metrics: weighted mean pairwise  dissimilarity (WMPD) and the sum of variance (SOV). We also  compare the effects of coverage-based and sample-size-based  standardisation. Our results show that coverage  standardisation can yield estimates of disparity through  time that dramatically deviate from raw estimates, both in  magnitude and direction of changes. These findings  demonstrate that future studies of morphological disparity  should control for variation in sampling intensity to make  more reliable inferences.},
      url = {http://knowledge.uchicago.edu/record/13681},
}