dataService

您的位置: 首页 > 数据服务 > 数据列表页

筛选

共检索到3698条 ,权限内显示50条;

Data from: A new Bayesian method for fitting evolutionary models to comparative data with intraspecific variation
负责人:
关键词:
Morphological Evolution;phylogenetics;Cyprinidae;Models\/Simulations
DOI:
doi:10.5061/dryad.7fv08k72
摘要:
evolution on a phylogeny. We test our approach via simulation and by analyzing two empirical datasets obtained from the literature. Finally, we have implemented the methods
Data from: Bayesian methods outperform parsimony but at the expense of precision in the estimation of phylogeny from discrete morphological data
负责人:
关键词:
Likelihood;morphology;parsimony;Bayesian;phylogenetics
DOI:
doi:10.5061/dryad.10qf3
摘要:
. This difference in the accuracy and precision of parsimony and Bayesian approaches to topology estimation needs to be considered when selecting a method
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:
over which line-fitting method should be used to describe linear morphological scaling relationships. Here I argue that the ‘best’ line-fitting method
Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance
负责人:
关键词:
Density;occupancy;American marten;distribution;Martes americana
DOI:
doi:10.5061/dryad.4mt00
摘要:
It is common to use multiple field sampling methods when implementing wildlife surveys to compare method efficacy or cost-efficiency, integrate
Data from: A parametric method for assessing diversification rate variation in phylogenetic trees
负责人:
关键词:
adaptive radiation;diversification-rate;chronogram;Plethodon;phylogeny
DOI:
doi:10.5061/dryad.8h350
摘要:
of diversification-rate variation can be used to infer underlying ecological and evolutionary processes responsible for patterns of cladogenesis. Most existing methods
Data from: Evaluation of parametric and nonparametric machine-learning techniques for prediction of saturated and ne
负责人:
关键词:
DOI:
doi:10.5061/dryad.ph0b6k8
摘要:
in the testing phase for log(Ks) and log(K10) prediction with RMSE of 0.666 and 0.551 cm d-1 and R2 of 0.26 and 0.65. Nonparametric supervised machine learning methods
Data from: Penalized likelihood methods improve parameter estimates in occupancy models
负责人:
关键词:
penalized likelihood;boundary estimates;maximum likelihood;summer 2011;occupancy modeling;detection probability;parameter estimation
DOI:
doi:10.5061/dryad.t40f2
摘要:
and mean squared error of parameter estimates obtained from each method on synthetic data. Across all of the synthetic data sets, the penalized estimation methods ha
Data from: Mining from transcriptomes: 315 single-copy orthologous genes concatenated for the phylogenetic analyses of Orchidaceae
负责人:
关键词:
RNA sequences;Single-copy orthologous genes;Orchidaceae;phylogeny
DOI:
doi:10.5061/dryad.qm30m
摘要:
organisms were applied to reconstruct a more robust phylogeny of orchids. This approach provided a rapid and reliable method of phylogeny construction
Data from: Phylogenetic ANCOVA: estimating changes in evolutionary rates as well as relationships between traits
负责人:
关键词:
parental care;Macroevolution;Life history: evolution;Phylogenetics: comparative;morphology;bird;telencephalon;Allometry;Aves;Phylogenetics: diversification;Phylogenetics: methods
DOI:
doi:10.5061/dryad.2r504
摘要:
We present a new phylogenetic comparative method—phylogenetic analysis of covariance (PANCOVA)—that uses interspecific data and a phylog
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:
eas in ecology, evolutionary biology, conservation biology and forensics. The widely applied genotype mismatch (MM) method, however, is inaccurate bec

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充