Sentence examples for best explained the variation from inspiring English sources

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Despite the differences in SOM composition and nutrient ratios, anaerobically mineralizable N and hot-water extractable C (as a measures of available C) best explained the variation in microbial biomass and function across sites.

The model that best explained the variation in the net Me203Hg production (76%) was built by the variables: connection type, total phosphorus and dissolved organic carbon (DOC) in water (AICc=48.324, p=0.001).

In addition, the environmental variables that best explained the variation in leaf out timing within different families varied dramatically, highlighting the taxon-specific ways that different tree species might respond to climate change.

Ferric iron buffers the pH at or below pH 3. In our study, of the 22 environmental parameters measured, seven best explained the variation in the data (As, Fe, Mn, Sr, Zn, pH, and redox) (see Material & Methods).

Among men, the variables that best explained the variation in suicide mortality were health region, education (adjusted p = 0.01), and unemployment (adjusted p = 0.01) (Table 4).

The covariates that best explained the variation in FGM concentration in order of importance were the number of days post-arrival, transport duration and pyrexia.

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Similar(52)

Steps 4 and 5 were repeated until a parsimonious final model that best explained the variations in indoor dust hopanes levels was obtained.

Thus, one would search for two (or three) near-matches in the total mtDNA database that together best explain the variation seen in the recombinants.

Regression trees recursively partition the dependent variable (i.e., predator or prey count) into two comparatively homogeneous data clusters called nodes, and identify the independent covariate (i.e., humans, predators, food or habitat) that best explains the variation within each node.

This data reduction technique extracts the underlying cognitive-language factors which best explain the variation in the data.

The procedure selects per gene the markers and their interactions for the linear model 1 that would best explain the variation in expression.

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