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Table 1 Biodiversity occurrence data statistics for 24 taxonomic classes.
Taxonomic classes with important covariates had low OOB error.
Relation between age, origin and quality of the occurrence data for 24 taxonomic classes.
Taxonomic heterogeneity in sampling, occurrence data origin and quality for 24 taxonomic classes.
Digital soil mapping (DSM) can quantitatively predict the spatial distribution of soil taxonomic classes.
The table summarizes the taxonomic classes into which the asteroids are divided on the basis of such data.
Vis-NIR spectroscopy has the potential to identify soil taxonomic classes in an efficient and cost-effective way.
In common usage, the term includes all members of four taxonomic classes, the Myxini, Cephalaspidomorphi, Elasmobranchiomorphi, and Osteichthyes.
A comparison of the nTiO2 ecotoxicity effects, grouped by taxonomic classes, is provided illustrating their relative experimental conditions.
Mapping the spatial distribution of soil taxonomic classes is important for informing soil use and management decisions.
The last two taxonomic classes — mathematical and heuristic — form the focus of nearly all business prediction models.
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