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6.1. Identifying Data Sources

The first step in defining an annotation or measurement is to identify what data is to use. Since many data are typically available, the data source is identified by choosing a sequence of values for up to three primary parameters (Qualifier 1, Qualifier 2, and Qualifier 3) and often a set of secondary parameters.

The majority of the time the data source is taken directly from results of a simulation (one exception to this is that a measurement can be made on an annotation). Most simulations will produce one or more datasets per Adaptive Mesh Refinement (AMR) iteration. Each dataset contains within it a number of data items - typically meshes, fields, particles, and tables. In this case, Qualifier 1 is used to choose the simulation, Qualifier 2 is used to choose the AMR iteration. Qualifier 3, and subsequent secondary parameters, further narrow down the data to unique data.

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