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635 results for “comparative phylogenetics”
FIGURE 10 in New leontiniid Notoungulata (Mammalia) from Chile and Argentina: comparative anatomy, character analysis, and phylogenetic hypotheses
FIGURE 10. Hypothetical scapular transition series in Notoungulata. Not drawn to scale.
FIGURE 6 in New leontiniid Notoungulata (Mammalia) from Chile and Argentina: comparative anatomy, character analysis, and phylogenetic hypotheses
FIGURE 6. Mandible of Elmerriggsia fieldia (FMNH P 13501) in occlusal (A) and lateral (B) views.
Fig. 27 in Dorsolateral head muscles of the catfish families Nematogenyidae and Trichomycteridae (Siluriformes: Loricarioidei): comparative anatomy and phylogenetic analysis
Fig. 27. Dorsal view of head of Pareiodon microps (Stegophilinae), LIRP 7422 (112.9 mm SL).
Analyzing disparity and rates of morphological evolution with model-based phylogenetic comparative methods
<p>Understanding variation in rates of evolution and morphological disparity is a goal of macroevolutionary research. In a phylogenetic comparative methods framework, we present three explicit models for linking the rate of evolution of a trait to the state of another evolving trait. This allows testing hypotheses about causal influences on rates of phenotypic evolution with phylogenetic comparative data. We develop a statistical framework for fitting the models with generalized least-squares regression, and use this to discuss issues and limitations in the study of rates of evolution more generally. We show that the power to detect effects on rates of evolution is low in that even strong causal effects are unlikely to explain more than a few percent of observed variance in disparity. We illustrate the models and issues by testing if rates of beak-shape evolution in birds are influenced by brain size, as may be predicted from a Baldwin effect in which presumptively more behaviorally flexible large-brained species generate more novel selection on themselves leading to higher rates of evolution. From an analysis of morphometric data for 645 species we find evidence that both macro- and microevolution of the beak are faster in birds with larger brains, but with the caveat that there are no consistent effects of relative brain size.</p>
Data and code for: Feeding, mating, and animal wellbeing: New insights from Phylogenetic Comparative Methods
<p class="MsoNormal">Some species tend to thrive in captivity, while others risk health and reproductive problems. This enables the use of P<span>hylogenetic Comparative Methods (PCMs) </span>to identify aspects of natural biology that predispose species to faring poorly or well. Risk factors can then suggest new ways to improve animal care. A steady trickle of studies has applied PCMs to animal welfare over the last two decades, Lewis et al. (1) <span>providing the latest. Here we contextualise this new work and suggest further research it might inspire.</span></p> <p class="MsoNormal"><span>Provided here are the data and R code for Figure 1 provided in a commentary on: (1) Lewis, K., M.O. Parker, L. Proops, and S.D. McBride, <em>Risk factors for stereotypic behaviour in captive ungulates</em>. Proceedings of the Royal Society B: Biological Sciences, 2022. 289(1983): p. 20221311.</span></p>
Data from: Trophic guilds differ in blood glucose concentrations: A phylogenetic comparative analysis in birds
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Data from: Restored tallgrass prairies have reduced phylogenetic diversity compared with remnants
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Comparative chloroplast genome and phylogenetic analysis of Central Asian Tulips
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Analyzing disparity and rates of morphological evolution with model-based phylogenetic comparative methods
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Microbial communities of wild bees and comparative phylogenetics of key bacterial taxa across the bee tree of life
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Environmental predictability in phylogenetic comparative analysis: how to measure it and does it matter?
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Reliable phylogenetic regressions for multivariate comparative data: illustration with the MANOVA and application to the effect of diet on mandible morphology in Phyllostomid bats
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Data from: Analysing Thalattosuchia paleobiodiversity under the prism of phylogenetic comparative methods
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Complex ecological phenotypes on phylogenetic trees: a Markov process model for comparative analysis of multivariate count data
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Comparative analysis of chloroplast genomes of Sanguisorba species and insights into phylogenetic implications and molecular dating
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Data from: Phylogenetic comparative methods on phylogenetic networks with reticulations
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Comparative phylogenetics of Papilio butterfly wing shape and size demonstrates independent hindwing and forewing evolution
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Data from: Pollinator shifts, contingent evolution, and evolutionary constraint drive floral disparity in Salvia (Lamiaceae): evidence from morphometrics and phylogenetic comparative methods
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Data from: Remarkably conserved plastid genomes of Quercus Group Cerris in China: comparative and phylogenetic analyses
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Data from: Gill evolution in Neotropical electric fishes: Comparative phylogenetic evidence for hypoxia-driven adaptation
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.