Effective management of these diverse data in STOQS is achieved through a two-step harmonization process: 1) conversion of all data to OGC CF-NetCDF Discrete Sampling Geometry feature types and 2) loading all data into the STOQS data model. Having all of the data easily accessible via this data model made development of the UI possible. This same method of access is also being used for development of visualization and analysis programs for tasks that cannot be executed within the UI. Examples include 1) generating a movie of chlorophyll-backscatter plots from data collected by multiple platforms over weeks and 2) classification of measurements via machine learning methods. This demonstration will show how STOQS is being used to help scientists understand recently collected data from Monterey Bay.