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Standardized datasets are composed of: species occurrences' (using EML and Darwin Core, are published in IPT), biotic and abiotic analyses (using EML and spreadsheets filled using standard templates, are published in Metacat), functional and taxonomical analyses of metagenomes (using MIxS, are produced by MG-RAST).
Despite significant methodological developments and novel application domains, there has been little effort to conduct benchmark studies with standardized datasets, which researchers can use to validate new tools, and more importantly conduct an objective comparison with state-of-the-art algorithms.
PCA with varimax rotation was applied to the standardized datasets of the remaining ten parameters.
Nevertheless, the LRC (and R2) values are far worse when using the standardized datasets.
However, different libraries do not have identical numbers of fragments, which may influence the direct comparison of the 12 standardized datasets.
Cluster analysis (CA) and factor analysis (FA) were performed on the standardized datasets whose mean and variance were set to zero and one, respectively.
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A Standardized Dataset for the period 2002 2005 is also available.
It is not possible to completely harmonize methods and knowledge or to standardize datasets.
Efforts have been made to standardize datasets and documentation within those registries to support data exchange and nationwide databases [ 6, 7].
Raw phenotypic data analysis and visualization, linear models to standardize datasets, ANOVAs, Tukey's HSD, and Pearson's phenotypic correlations were all conducted in R (R Core Team 2014; http://www.r-project.org/).org/
Although some European countries have alternate breakpoints, all data forwarded to TSN Databases are derived from hospitals that utilized NCCLS standards and definitions (United States, Canada, Italy, and Germany) [ 14] or the Comité de L'Antibiogramme de La Societé Français de Microbiologie (France) [ 15] thus standardizing datasets.
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