Both the volume and variety of data available to geophysicists, along with computational techniques and resources to process them, continue to grow rapidly. For many users, there is a corresponding increase in the burden of “data management” including collection and preparation for processing. Furthermore, data are often organized to support discovery and access for specific workflows.
In this How-To article, we will demonstrate how you can use the popular ObsPy Python framework to catalog large data sets and efficiently access subsets for general use, and with relatively little code. Specifically, we illustrate the use of OsbPy’s TSIndex module to significantly reduce the burden of organizing miniSEED data while supporting efficient, arbitrary access.
