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Data from: Combining data?derived priors with postrelease monitoring data to predict persistence of reintroduced populations
负责人:
关键词:
translocation;Petroica longipes;Survival analysis;prior information;reintroduction;population modelling;population viability;Bayesian inference;Fecundity
DOI:
doi:10.5061/dryad.378qm5j
摘要:
variation. We evaluated whether such informative priors improved our ability to estimate the finite rate of increase (?) of the North Island robin (Petroica
Data from: Simulation-based validation of spatial capture-recapture models: a case study using mountain lions
负责人:
Paterson, J. Terrill
关键词:
mountain lion spatial capture recapture
DOI:
doi:10.5061/dryad.vv7s70m
摘要:
. We then estimated density for each scenario using four models that included increasing amounts of information from harvested individuals and telemetry to evaluate
Data from: Evaluating the impact of genomic data and priors on Bayesian estimates of the angiosperm evolutionary timescale
负责人:
关键词:
Genome;Triassic;Chloroplast;Angiospermae;molecular dating;co-evolution
DOI:
doi:10.5061/dryad.3vj50
摘要:
fossil calibrations in the form of highly informative gamma priors rather than as uniform priors on node ages. Under all other calibration schemes, including trials
Data from: Integrating genetic analysis of mixed populations with a spatially-explicit population dynamics model
负责人:
Whitlock, Rebecca
关键词:
Baltic salmon mixed fisheries Bayesian spatial model
DOI:
doi:10.5061/dryad.4pg37
摘要:
l method for simultaneous learning about the spatio-temporal dynamics of multiple populations that combines genetic data with prior information about abundance and move
Data from: Occupancy models for data with false positive and false negative errors and heterogeneity across sites and surveys
负责人:
关键词:
informative prior;imperfect detection;occupancy model;scenario;observation;phantom species;Mniotilta varia;detection probability;confirmed detection;hierarchical Bayesian model;Monte Carlo simulation
DOI:
doi:10.5061/dryad.t68v8
摘要:
nce in Monte Carlo simulations of a variety of scenarios. Our models also have the ability to improve inference by incorporating previous knowledge through informative prio
Data from: Experimental design in phylogenetics: testing predictions from expected information
负责人:
关键词:
branch lengths;Experimental design;mitochondrial genome;bootstrap support;Gymnophiona;phylogenetic information;rag1;taxon sampling
DOI:
doi:10.5061/dryad.83p1130j
摘要:
cs of caecilian amphibians and made an a priori evaluation and testable predictions of which taxon additions would increase information about a particular weakly
Data from: A novel Bayesian method for inferring and interpreting the dynamics of adaptive landscapes from phylogenetic comparative data
负责人:
关键词:
Macroevolution;Reversible-jump models;Ornstein-Uhlenbeck models;Comparative Methods;Bayou
DOI:
doi:10.5061/dryad.t342m
摘要:
of adaptive peak shifts. Furthermore, we show how the inclusion of informative priors can be used to restrict models to biologically realistic parameter space
Data from: Assessing parameter identifiability in phylogenetic models using Data Cloning
负责人:
关键词:
Data Cloning;Bayesian estimation in Phylogenetics;Parameter Identifiability;maximum likelihood
DOI:
doi:10.5061/dryad.rr6400b4
摘要:
The success of model-based methods in phylogenetics has motivated much research aimed at generating new, biologically informative models. This ne
Data from: Space-use behavior of woodland caribou based on a cognitive movement model
负责人:
关键词:
apparent competition attribute memory informative prior landscape of fear perceptual range redistribution kernel resource selection spatial memory step selection telemetry
DOI:
doi:10.5061/dryad.7p60n
摘要:
1. Movement patterns offer a rich source of information on animal behaviour and the ecological significance of landscape attributes. This is esp
Data from: Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis thaliana
负责人:
关键词:
Systems biology;Arabidopsis thaliana;abiotic\/environmental stress;differential network;bioinformatics;transcriptome analysis;gene coexpression network;Random Forest;Machine Learning
DOI:
doi:10.5061/dryad.41b9g
摘要:
prior to network construction, through learning the patterns of 32 expression characteristics of known stress-related genes. The retained “informative

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