A self-documenting source-independent data format for computer processing of tensor time series

Physics

Scientific paper

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Scientific paper

The development of a system of programs to carry out analysis of a large digital data file is frequently a time-consuming and expensive task. When such systems are completed it is often found that they are unuseable if the format of the input data is changed. The UCLA Space Science Group has minimized this problem by developing a fixed-format intermediate data file. The format of this file is sufficiently flexible that any number of dependent variables can be stored as sampled functions of several independent variables. The format is self-documenting with parameter, label and header records completely characterizing the contents of the file. New data sources are handled by writing interface programs which convert data to the format of the intermediate file. Analysis programs access the intermediate file through general readers and writers. The advantages of this approach to digital data analysis are outlined.

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