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Data from: Using hidden Markov models to improve quantifying physical activity in accelerometer data – a simulation study
负责人:
关键词:
identification;Bout detection;Signal processing;physical activity patterns;time series;pattern recognition
DOI:
doi:10.5061/dryad.tq0gt
摘要:
s. Traditionally, cutpoints are used to assign impulse counts recorded by the devices to sedentary and activity ranges. Here, hidden Markov models (HMM) are use
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: Tree phenology responses to winter chilling, spring warming, at north and south range limits
负责人:
关键词:
degree-day models;hidden Markov model;phenology;chilling requirement;warming;Forests
DOI:
doi:10.5061/dryad.38r08
摘要:
thermal models consider only highly aggregated variables, e.g., degree days or chilling units (temperature sums for a season or year) they may not accurately
Data from: Homoplasy-based partitioning outperforms alternatives in Bayesian analysis of discrete morphological data
负责人:
关键词:
stepping-stone;TNT;MrBayes;implied weighting parsimony;Aves;fossil;Hymenoptera;Homoplasy
DOI:
doi:10.5061/dryad.1hh515h
摘要:
y be accomplished, for instance, by employing a hidden Markov model (HMM) to assign characters to rate categories drawn from a (discretized) ? distribution
Data from: Phylogenetic tree estimation with and without alignment: new distance methods and benchmarking
负责人:
关键词:
Pair hidden Markov models;phylogenetic inference;Alignment free;Distance-based phylogenetics;statistical alignment
DOI:
doi:10.5061/dryad.n5r49
摘要:
a single alignment. We then use simulations to benchmark its performance against a wide-range of other phylogenetic tree inference methods, including the fir
Data from: Bayesian inference of selection in a heterogeneous environment from genetic time-series data
负责人:
关键词:
Natural Selection and Contemporary Evolution;Ecological Genetics;Adaptation;Population Genetics - Empirical
DOI:
doi:10.5061/dryad.14853
摘要:
iation in populations. Herein, I proposed a Bayesian non-homogenous hidden Markov model to estimate effective population sizes and quantify var
Data from: Environmental heterogeneity decreases reproductive success via effects on foraging behaviour
负责人:
Trevail, Alice
关键词:
Competition Seabird Hidden Markov Model Heterogeneity Gradient Optimal foraging theory Resource availability
DOI:
doi:10.5061/dryad.0898ss6
摘要:
in a heterogeneous environment are difficult to measure empirically. Heterogeneity may provide higher quality foraging opportunities, or alternatively could increase the cost
Data from: Movement reveals reproductive tactics in male elephants
负责人:
Taylor, Lucy A.
关键词:
Elephant GPS Musth Reproduction Movement Bio-logging
DOI:
doi:10.5061/dryad.368cf90
摘要:
s to examine the influence of reproductive state and age on movement. We then used a three-state hidden Markov model (HMM) to detect musth behaviour in a subset
Data from: A single Tim translocase in the mitosomes of Giardia intestinalis illustrates convergence of protein import machines in anaerobic
负责人:
关键词:
protein transport;TIM translocase;mitochondrial evolution;Giardia;anaerobic protists;mitosomes;Tim17
DOI:
doi:10.5061/dryad.1p67145
摘要:
of a metamonad-specific hidden Markov model. While very divergent in primary sequence and in predicted membrane topology, experimental data suggest that GiTim17
Data from: The Arabidopsis kinome: phylogeny and evolutionary insights into functional diversification
负责人:
关键词:
Arabidopsis thaliana;Kinase;phylogeny
DOI:
doi:10.5061/dryad.pq7d7
摘要:
tic analysis of the Arabidopsis kinase complement, the kinome, with particular focus on gene duplication events. We matched Arabidopsis proteins to a Hidden-Markov Model

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