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Data from: Implied weighting and its utility in palaeontological datasets: a study using modelled phylogenetic matrices
负责人:
关键词:
Cladistics;parsimony;character weights;phylogeny;Homoplasy
DOI:
doi:10.5061/dryad.7dq0j
摘要:
s of implied weighting on modelled phylogenetic data. We generated 100 character matrices consisting of 55 characters each using a Markov Chain morphology model
Data from: pLARmEB: integration of least angle regression with empirical Bayes for multilocus genome-wide association studies
负责人:
关键词:
DOI:
doi:10.5061/dryad.sk652
摘要:
with empirical Bayes to perform multilocus GWAS under polygenic background control. We used an algorithm of model transformation that whitened the covariance matrix
Data from: Improving structured population models with more realistic representations of non-normal growth
负责人:
关键词:
Bistorta vivipara;Vulpicida pinastri;skewed normal;Polygonum viviparum;matrix model;Asymmetry;Beta regression;integral projection model;quantile regression;population model;Growth;skew;Paramuricea clavata
DOI:
doi:10.5061/dryad.t6c3573
摘要:
n projection matrix models (PPMs). Yet almost all published IPMs make an important assumption: that size-dependent growth transitions are or can be transformed
Data from: Matrix models of hierarchical demography: linking group- and population-level dynamics in cooperative breeders
负责人:
关键词:
Population: dynamics;Suricata suricatta;Demography;Ecology: population;Ecology: theoretical;Modeling: matrix;Social structure;Density Dependence;Modeling: population ecology;Holocene
DOI:
doi:10.5061/dryad.r9k214r
摘要:
. Here, we describe a stage-structured matrix model of hierarchical demography, which provides a framework for understanding social influences
Data from: Tetraconatan phylogeny with special focus on Malacostraca and Branchiopoda—Highlighting the strength of taxon-specific matrices
负责人:
关键词:
Crustacea;Dayhoff recoding;Pancrustacea;Tetraconata;phylogenomics;CAT-GTR
DOI:
doi:10.5061/dryad.sn35910
摘要:
such examples, we demonstrate that taxon-specific matrices and particular evolutionary models and analytical methods, namely CAT-GTR and Dayhoff
Data from: Temporal plasticity in habitat selection criteria explains patterns of animal dispersal
负责人:
Day, Casey
关键词:
Pattern-oriented modeling Individual-based model Movement ecology Home range Habitat specificity
DOI:
doi:10.5061/dryad.8h685j0
摘要:
-oriented modeling approach. Our best model matched all empirical dispersal patterns (e.g., dispersal distance) except time to settlement. This model
Data from: Genetic regulatory network motifs constrain adaptation through curvature in the landscape of mutational (co)variance
负责人:
关键词:
M-matrix;evolvability;divergence with gene flow;quantitative genetics;evolutionary systems biology;G-matrix
DOI:
doi:10.5061/dryad.tq09m
摘要:
of the complex genotype-phenotype relationship. However, models of multivariate phenotypic evolution based on quantitative genetics have largely not incorporated
Data from: Spatial autocorrelation in fitness affects the estimation of natural selection in the wild
负责人:
关键词:
Pseudoreplication;selection gradients;spatial heterogeneity;Cyanistes caeruleus;spatial autocorrelation;blue tit;multiple regression
DOI:
doi:10.5061/dryad.pm86c
摘要:
e yet to be investigated in the context of Lande and Arnold's regression and resulting selection estimation. 2. Here we first described four spatially explicit models tha
Data from: A within-animal comparison of skilled forelimb assessments in rats
负责人:
关键词:
Force Strength Forelimb Ischemic Lesion Stroke Skilled Reaching Operant Behavior Pasta Matrix Isometric Pull
DOI:
doi:10.5061/dryad.5v2t8
摘要:
and pasta matrix task have provided valuable insight into recovery of forelimb function in models of neurological injury and disease. Recently, seve
Data from: Heterogeneous matrix habitat drives species occurrences in complex, fragmented landscapes
负责人:
Brodie, Jedediah
关键词:
Biodiversity Biogeography Conservation biology Dispersal Ecology: landscape Ecology: statistical Bird
DOI:
doi:10.5061/dryad.p042h0c
摘要:
fit by an average of 2.2-fold over models where patch isolation was estimated without accounting for landscape matrix heterogeneity. This approach also allowed

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