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A reduced mitochondrial dataset was calibrated with normal priors reflecting the posterior age estimates for the genus, and the mean and range of rates of variation were then estimated using BEAST with settings outlined above.
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The model was calibrated using a soil dataset of 320 soil profile data and 12 environmental covariate layers.
SIMBA-NEM was calibrated and validated using datasets from banana cropping systems in Guadeloupe (French West Indies).
The model was calibrated and tested using a dataset representing an initial random distribution of six plant functional groups on an even-aged landscape.
Third, no study validated their model using a dataset and population different from the one to which the model was calibrated.
The developed model was calibrated and validated based on independent experimental datasets from literature, obtained for C. necator.
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Even so, the repression was calibrated.
This scale was calibrated weekly.
Equipment was calibrated as previously described [11].
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