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Data from: State-space modelling of the flight behaviour of a soaring bird provides new insights to migratory strategies
负责人:
Pirotta, Enrico
关键词:
3D states GPS-GSM telemetry hidden state model Markov chain Monte Carlo movement ecology raptor subsidised flight
DOI:
doi:10.5061/dryad.44v9r82
摘要:
in three dimensions were paired with topographical information and used in a Bayesian state-space model to describe the flight modes of migrating golden eagles
Data from: Elliptical Time-Density model to estimate wildlife utilization distributions
负责人:
University Of Konstanz
关键词:
African elephant animal movement GIS GPS tracking home-range Loxodonta africana utilization distribution
DOI:
doi:10.5441/001/1.f321pf80
摘要:
s: Methods in Ecology and Evolution. doi:10.1111/2041-210X.12218;;We present a new animal space-use model (Elliptical Time-Density - ETD) that uses discrete
Elliptical Time-Density Model (Wall et al. 2014) African Elephant Dataset (Source-Save the Elephants)-reference-data
负责人:
University Of Konstanz
关键词:
African elephant animal movement GIS GPS tracking home-range Loxodonta africana utilization distribution
DOI:
doi:10.5441/001/1.f321pf80/2
摘要:
s: Methods in Ecology and Evolution. doi:10.1111/2041-210X.12218;;We present a new animal space-use model (Elliptical Time-Density - ETD) that uses discrete
Elliptical Time-Density Model (Wall et al. 2014) African Elephant Dataset (Source-Save the Elephants)
负责人:
University Of Konstanz
关键词:
African elephant animal movement GIS GPS tracking home-range Loxodonta africana utilization distribution
DOI:
doi:10.5441/001/1.f321pf80/1
摘要:
s: Methods in Ecology and Evolution. doi:10.1111/2041-210X.12218;;We present a new animal space-use model (Elliptical Time-Density - ETD) that uses discrete
Data from: When the going gets tough: behavioral type dependent space use in the sleepy lizard changes as the season dries
负责人:
关键词:
animal personality Bayesian GLMM Behavioral syndromes GPS-telemetry Movement ecology Spatial ecology
DOI:
doi:10.5061/dryad.h4dt0
摘要:
of 72 free-ranging lizards with repeated behavioural assays, and with a survey of the spatial distributions of their food and refuge resources. Bayesian generalized linear mixed models
Data from: Xenacoelomorpha is the sister group to Nephrozoa
负责人:
关键词:
DOI:
doi:10.5061/dryad.493b7
摘要:
models of evolution under maximum likelihood and Bayesian inference analyses, strongly corroborate this result. Rigorous testing of 25 experimental
Data from: Phylogenomic analyses of deep gastropod relationships reject Orthogastropoda
负责人:
关键词:
Bayesian Transcriptome phylogenetics Likelihood posterior probability
DOI:
doi:10.5061/dryad.5bc98
摘要:
Gastropods are a highly diverse clade of molluscs that includes many familiar animals, such as limpets, snails, slugs and sea slugs. It is one
Non-animal methods to predict skin sensitization (II): an assessment of defined approaches**<\/sup>
负责人:
关键词:
Genetics Physiology Biotechnology 59999 Environmental Sciences not elsewhere classified Immunology 69999 Biological Sciences not elsewhere classified 80699 Information Systems not elsewhere classified Science Policy
DOI:
doi:10.6084/m9.figshare.5933323.v2
摘要:
chine models, Bayesian networks, and decision trees, most of which were reproduced using open source software tools. Multiple non-animal testing strategies
MOESM4 of Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared
负责人:
关键词:
Genetics Biotechnology Evolutionary Biology Ecology 19999 Mathematical Sciences not elsewhere classified Inorganic Chemistry 110309 Infectious Diseases Plant Biology Computational Biology
DOI:
doi:10.6084/m9.figshare.c.3680542_d4.v1
摘要:
) of rainbow trout. The GEBV for the binary trait STATUS estimated on the underlying scale of liability using a threshold animal model are shown as transform
MOESM4 of Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared
负责人:
关键词:
Genetics Biotechnology Evolutionary Biology Ecology 19999 Mathematical Sciences not elsewhere classified Inorganic Chemistry Infectious Diseases Plant Biology Computational Biology
DOI:
doi:10.6084/m9.figshare.c.3680542_d4
摘要:
) of rainbow trout. The GEBV for the binary trait STATUS estimated on the underlying scale of liability using a threshold animal model are shown as transform

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