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Data from: Co-infections and environmental conditions drive the distributions of blood parasites in wild birds
负责人:
Clark, Nicholas
关键词:
avian malaria immune modulation filarial parasite heterophil to lymphocyte ratio parasite co-occurrence
DOI:
doi:10.5061/dryad.pp6k4
摘要:
logistic regression. Co-infections occurred in 36% of infected birds. We identified both positively and negatively correlated parasite co-occurrence
Data from: Mathematical modeling for the prediction of cerebral white matter lesions based on clinical examination data
负责人:
关键词:
2016-2017;cerebral white matter lesions;clinical examination data;mathematical modeling;Homo Sapiens
DOI:
doi:10.5061/dryad.73bh2q8
摘要:
ng clinical data for 1,904 examinees (988 males and 916 females) from medical checkups that did include the head MRI. The logistic regression model was selected
Data from: Environmental variation is a major predictor of global trait turnover in mammals
负责人:
关键词:
beta diversity;Traits;Mammalia;Mammals;niche conservatism;convergence;phylogeny;multiple regression;mean nearest taxon distance;distance matrices;current
DOI:
doi:10.5061/dryad.pc1rs
摘要:
ter than random expectations. Conversely, trait turnover is consistently more strongly associated with environmental variation than predicted
Data from: Genetic and environmental effects on the morphological asymmetry in the scale-eating cichlid fish, Perissodus microlepis
负责人:
关键词:
DOI:
doi:10.5061/dryad.3fp18
摘要:
–offspring regression. The heritability estimates [field estimate: h2 = 0.22 ± 0.06, P = 0.013; laboratory estimate: h2 = 0.18 ± 0.05, P = 0.004] suggest tha
Data from: Plant community composition and species richness in the High Arctic tundra: from the present to the future
负责人:
关键词:
Cassiope tetragona;Silene involucrata;Pedicularis flammea;Silene acaulis;Draba arctica;carex marítima;Stellaria longipes;Euphrasia frigida;Festuca hyperborea;Luzula nivalis;Festuca brachyphylla;plant cover;Equisetum variegatum;Arctagrostis latifolia;High Arctic tundra vegetation;Bistorta vivipara;Arenaria pseudofrigida;Sabulina stricta;boral;Arnica angustifolia;Minuartia biflora;Pedicularis hirsuta;Poa glauca;Poa arctica;Potentilla nivea;Sabulina rubella;Hierochloe alpina;Cerastium arcticum;Festuca rubra;Salix arctica;Carex bigelowii;Carex fuliginosa;Juncus castaneus;Draba glabella;Rhododendron lapponicum;Micranthes nivalis;Eriophorum triste;Kobresia myosuroides;vascular plants;Potentilla rubricaulis;Carex nardina;Papaver radicatum;Saxifraga oppositifolia;Equisetum arvense;Polemonium boreale;Potentilla hyparctica;Juncus triglumis;Saxifraga cespitosa;Carex capillaris;Oxyria digyna;Chamerion latifolium;Carex rupestris;Draba subcapitata;Alopecurus borealis;Bayesian Ordination and Regression Analysis;Kobresia simpliciuscula;Rumex acetosella;vegetation composition;Luzula confusa;Campanula uniflora;Potentilla arenosa;Saxifraga cernua;Vaccinium uliginosum;Juncus biglumis;Trisetum spicatum;Festuca vivipara;Dryas sp.
DOI:
doi:10.5061/dryad.8gr16
摘要:
tion and species richness based on 288 plots distributed on three sites along a coast-inland gradient in Northeast Greenland using a stratified random design. We used an inf
Data from: R2s for correlated data: phylogenetic models, LMMs, and GLMMs
负责人:
关键词:
coefficient of determination;Binomial regression;non-independent residuals;phylogenetic model;pseudo-likelihood
DOI:
doi:10.5061/dryad.345v6
摘要:
and binary response data (phylogenetic generalized least squares and phylogenetic logistic regression). Because the R2s are designed broadly for any model
Data from: Ensemble approach for potential habitat mapping of invasive Prosopis in Turkana, Kenya
负责人:
关键词:
2017;SDM;invasive species;Prosopis Juliflora
DOI:
doi:10.5061/dryad.sk4410m
摘要:
sting of four species distribution models: (a) logistic regression, (b) maximum entropy, (c) random forest, and (d) Bayesian networks. The models were evaluated through a block cross
Data from: Accuracy of climate-based forecasts of pathogen spread
负责人:
关键词:
Hindcasting;Species distribution model;Machine Learning;Batrachochytrium dendrobatidis
DOI:
doi:10.5061/dryad.3p121
摘要:
, false negative rate and the Boyce index. Of eight models examined, we found that boosted regression trees and random forests performed best, closely followed by MaxEnt

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