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Clustering procedures using the sperm kinematic and morphometric data resulted in the classification of spermatozoa into three kinematic and three morphometric sperm subpopulations.
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The MCC tree, 1000 chronogram set, and body size and morphometric data supporting the results of this article are available in the Dryad repository, http://datadryad.org/review?doi=doi 10.5061/dryad.vm263 [ 61].
This early observation by Winter (1985) fits perfectly with the morphometric data we produced here: results show that the coccolith mass, smoothed with a locally weighted regression (LOESS) (Cleveland and Devlin 1988), generally increases during El Niño events (Fig. 4).
The growth data and statistical analyses (in particular Bayesian approach) are unique to this article and in view of the growth results we reanalysed the morphometric data.
Results are presented as mean ± SD, morphometric data are given as mean ± SEM.
Measurement error is an important source of variation affecting morphometric data that can increase the likelihood of type II errors and lead to biased results [ 28, 29].
Our results are a valuable supplement of nasal cavity morphometric data of young children.
Hence the results from the booted eagle models with and without the morphometric data are presented separately (2008: n = 10 for body mass, n = 0 for tarsus length; 2009: n = 27 for both body mass and tarsus length).
Both descriptive data and morphometric data are present.
Interpretations of morphometric data are well supported by field data.
Morphometric data of elongated (not circular) mounds is not used.
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