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high-resolution (10 km) Reanalysis downscaled data over Japan;;JP10
负责人:
Yoshimura, Kei;;DIAS Office;;Yoshimura, Kei
关键词:
DOI:
doi:10.20783/dias.139
摘要:
t of 3-dimensional atmospheric state (temperature, wind speed, omega, height, humidity), and various surface fields (precipitation, evaporation, PBL height, surface
Data from: A method for analysis of phenotypic change for phenotypes described by high-dimensional data
负责人:
关键词:
multidimensional data;high dimensional data;multidimensional trait;multivariate;Morphometrics;Cyprinodon pecosensis
DOI:
doi:10.5061/dryad.1p80f
摘要:
sciplines to work with multivariate phenotypic data. When phenotypic variables exceed the number of research subjects—data called ‘high-dimensional data’—researchers are confronted
Data from: The third dimension: a novel set-up for filming coelacanths in their natural environment
负责人:
Herbin, Marc
关键词:
3D behaviour kinematics locomotion underwater filming
DOI:
doi:10.5061/dryad.rh07b
摘要:
Here, we describe a novel design to obtain three-dimensional data on the movements of aquatic organisms at depths of up to 140 m. The set
Data from: Linkage disequilibrium clustering-based approach for association mapping with tightly linked genome-wide data
负责人:
关键词:
quantitative trait loci;Multi-locus method;GWAS;Four way cross;Principal component regression
DOI:
doi:10.5061/dryad.16g72gk
摘要:
with principal component (PC) analysis as dimensional reduction tools to summarize the SNP data to independent PCs within clusters of loci connected by high LD
Data from: Quantifying and comparing phylogenetic evolutionary rates for shape and other high-dimensional phenotypic data
负责人:
关键词:
Plethodon
DOI:
doi:10.5061/dryad.41hc4
摘要:
of traits treated simultaneously. However, high-dimensional traits like shape remain under-examined with this framework, because methods suited for such data
Data from: A method for assessing phylogenetic least squares models for shape and other high-dimensional multivariate data
负责人:
关键词:
Plethodon
DOI:
doi:10.5061/dryad.36df0
摘要:
context that can accommodate high-dimensional datasets. The approach is derived from the statistical equivalency between parametric methods utilizing
Data from: Surrogate modelling for the prediction of spatial fields based on simultaneous dimensionality reduction of high-dimensional input/output
负责人:
关键词:
simultaneous dimensionality reduction;Gaussian process regression;spatial field emulation;stochastic PDE
DOI:
doi:10.5061/dryad.3g280
摘要:
a method for simultaneously reducing the dimensionality of very high-dimensional input and output spaces in Gaussian process emulators for stochastic
Data from: A generalized K statistic for estimating phylogenetic signal from shape and other high-dimensional multivariate data
负责人:
关键词:
phylogenetic comparative method;Morphological Evolution;Plethodon;Macroevolution;Geometric morphometrics
DOI:
doi:10.5061/dryad.8fc86
摘要:
. (2003) that is useful for quantifying and evaluating phylogenetic signal in highly-dimensional multivariate data. The method (Kmult) is found from
Data from: Foraging mode of spiders affects risk of predation by birds
负责人:
关键词:
DOI:
doi:10.5061/dryad.g00qr
摘要:
ectivores and predation rate was significantly higher than in spiders with two-dimensional webs. Spiders with three-dimensional webs were exposed to a predation rate in bet

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