The visualization community has produced numerous techniques for looking at single scalar, vector, and tensor fields. However, rather than looking at a single field at a time, scientists need to explore the interaction of these fields to gain deeper understanding of underlying processes and relationships. Creating such tools for exploring these multi-field, time-varying data sets forms one of the significant challenges in visualization and analytics. Typically, a researcher is interested in particular regions where certain properties (or derived properties) hold. Our Center is creating the capability for a scientist to identify and specify these properties then segment the data set to determine the regions where these properties hold. We plan to build on our on-going work in query-based systems, visualization of distributed data sets, derived data methods coupled with multi-field scalar, vector-, and tensor- field visualization techniques to create usable options and interfaces for displaying and exploring multi-field data sets. These activities will be conducted on a per-stakeholder basis as part of our ongoing interaction with those projects with the resulting capabilities being immediately available for use on other stakeholder projects.