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The data was prepared by Statistics Finland, an organisation that publishes official Finnish road safety statistics [14].
Once normalized, the data was prepared for DNA segmentation analysis.
The data was prepared for modelling using 5-fold cross validation.
Following this, a summary of the data was prepared, and categorized according to the revised framework.
The data was prepared for analysis by correcting for background intensity.
The data was prepared for clustering by scaling each mean expression profile to the absolute maximum fold-change value of 1.
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By applying two preprocessing methods, data transformation and clustering, the data were prepared for the learning algorithms.
Therefore, all the data are prepared from one groundwater system that its formation type is alluvial; as a result, the geostatistical method can show their correlation as well.
The data were prepared for machine learning methods by spatially normalizing the images into MNI space and resampling to 3×3×6 mm3 voxels.
The data were prepared using Stata version 11 (Statacorp LP, Texas).
Country designations used in this publication remain those current during the period in which the data were prepared.
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