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Data from: A potential pitfall in studies of biological shape: does size matter?
负责人:
Outomuro, David
关键词:
allometry Generalized Procrustes Analysis geometric morphometrics literature review superimposition of landmark configurations
DOI:
doi:10.5061/dryad.82nd6
摘要:
ons, i.e. the Generalized Procrustes Analysis, which removes isometric effects of size on shape, but not allometric effects.5.Allometry can be a crucial compo
Data from: Evolution of cranial telescoping in echolocating whales (Cetacea: Odontoceti)
负责人:
关键词:
odontocete;Oligocene;Odontoceti;disparity;Cranial Telescoping;whale evolution;Morphometrics
DOI:
doi:10.5061/dryad.6s268n1
摘要:
evolution. We used a sliding semilandmark morphometric approach with Procrustes superimposition and PCA to capture and describe the morphological variation pr
Data from: Does morphological variation buffer against extinction? A test using veneroid bivalves from the Plio-Pleistocene of Florida
负责人:
关键词:
Pliocene;Pleistocene
DOI:
doi:10.5061/dryad.8679
摘要:
00 museum specimens, representing 19 localities that encompass four well-known Plio-Pleistocene units in the study region. Procrustes superimposition was applied to ea
Data from: Evolutionary covariation in geometric morphometric data: analyzing integration, modularity, and allometry in a phylogenetic context
负责人:
关键词:
Procrustes superimposition;Comparative Methods;Modularity;shape;independent contrasts;Morphological integration;skull;Allometry;Birds;partial least squares;Aves;Geometric morphometrics
DOI:
doi:10.5061/dryad.787c0
摘要:
ts can be applied to phylogenetically independent contrasts of shape data. We illustrate this approach in an analysis of cranial evolution in 160 species from al
Data from: Incomplete specimens in geometric morphometric analyses
负责人:
关键词:
body shape;Guianacara dacrya;Fish;Salvelinus alpinus;Geometric morphometrics;missing data
DOI:
doi:10.5061/dryad.mp713
摘要:
-specific method. The accuracy of missing data estimation was determined for each estimation method, landmark position, and morphological dataset. Procrustes

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