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Data from: Inferring longitudinal hierarchies: framework and methods for studying the dynamics of dominance
负责人:
Strauss, Eli
关键词:
rank reversal dominance rank dynamic networks hierarchy stability Elo-rating I& SI dominance hierarchy David's Score
DOI:
doi:10.5061/dryad.5p9m3q2
摘要:
e yet evaluated the accuracy with which different methods infer hierarchy dynamics. 3. We modify three popular ranking approaches to make them bet
Data from: Multivariate phylogenetic comparative methods: evaluations, comparisons, and recommendations
负责人:
关键词:
high-dimensional data;multivariate;phylogenetic comparative methods
DOI:
doi:10.5061/dryad.29722
摘要:
. Methods that summarize patterns across trait dimensions treated separately (e.g., SURFACE) incorrectly assume independence among trait dimensions, result
Data from: The impact of phylogenetic dating method on interpreting trait evolution: a case study of Cretaceous–Palaeogene eutherian body-size
负责人:
关键词:
Placentalia;Mammalia;tempo;Body Size;evolutionary model;mode;Palaeogene;Cretaceous
DOI:
doi:10.5061/dryad.7tp7f
摘要:
approaches, an Ornstein–Uhlenbeck model with high alpha parameters is recovered as best-fitting when minimum-age dating is used, while branch-sharing methods
Data from: An alternative approach to reduce algorithm-derived biases in monitoring soil organic carbon changes
负责人:
关键词:
basal mineral-matter reference systems;SOC comparability;equivalent mineral-matter volume;soil volume change;soil organic carbon;algorithm-derived biases;reference systems
DOI:
doi:10.5061/dryad.7465c1j
摘要:
with the ESV method and modified methods that referenced to soils at time t1 (ESM, EMMM, EMMV-t1) or referenced to soils at time zero (EMMV-t0) usi
Data from: Individual identification from genetic marker data: developments and accuracy comparisons of methods
负责人:
关键词:
conservation genetics;Duplicates;relationship;genetic markers;Population Genetics - Theoretical;Ecological Genetics;relatedness;Population Genetics - Empirical;clone
DOI:
doi:10.5061/dryad.2q3qh
摘要:
t may have high and variable rates of allelic dropouts and false alleles at genotyped loci. The 3 methods together with the relatedness (RL) method wer
Data from: Ontogenetic sequence reconstruction and sequence polymorphism in extinct taxa: an example using early tetrapods (Tetrapoda: Lepospondyli)
负责人:
关键词:
DOI:
doi:10.5061/dryad.4gv88
摘要:
ferent patterns of sequence polymorphism, although across all methods the magnitude of sequence variation for M. pelikani and H. longicostatum
Data from: Effects of different segmentation methods on geometric morphometric data collection from primate skulls
负责人:
关键词:
Macaca
DOI:
doi:10.5061/dryad.qk58nt2
摘要:
and transformed to three-dimensional (3D) surface models before measurement. The present study aimed to evaluate the effects of different image segmentation methods
Supporting data for "Imaging tissues and cells beyond the diffraction limit with structured illumination microscopy and Bayesian image reconstruction"
负责人:
关键词:
Imaging structured illumination microscopy simtoolbox fluorescence sim super-resolution microscopy bayesian methods live cell imaging
DOI:
doi:10.5524/100514
摘要:
ng established optical sectioning SIM and super-resolution SIM methods, and with newer Bayesian restoration approaches which we are developing. Various methods
Data from: Symposium article: Which line to follow? the utility of different line-fitting methods to capture the mechanism of morphological scaling
负责人:
Shingleton, Alexander W
关键词:
Allometry Linear Regression Scaling Morphology Statistics
DOI:
doi:10.5061/dryad.54h0t79
摘要:
t the ‘best’ line-fitting method depends on the pattern of variation among individuals in the developmental mechanisms that regulate trait size. For Drosophila
Data from: Accurate inference of tree topologies from multiple sequence alignments using deep learning
负责人:
关键词:
Supervised Machine Learning;convolutional neuronal network;phylogenetics
DOI:
doi:10.5061/dryad.ct2895s
摘要:
data. We show that our approach is highly accurate on simulated data, often outperforming traditional methods, and is remarkably robust to bias

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