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The ligand data preparation is executed by the Prepare ligand subflow.
Data preparation is an interesting step.
Data preparation is the first stage in the SDR process.
The next step in data preparation is the data aggregation.
Thus, data preparation is a large part of the effort required in running a loss model.
Data preparation is generally required to derive volcanic vulnerability and fragility functions.
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The following steps of data preparation are applied equally to the different datasets extracted.
The recommendations for differential, integral experiments and recommendations on the evaluated data preparation are presented.
The analysis and the necessary data preparation were conducted using R, a language and environment for statistical computing, version 3.3.2 (R Core Team 2016).
Data preparation was done with SAS (Version 9.2).
Signal detection and data preparation was done as previously reported [30].
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