Capabilities, contents, and use cases of the Outer Planets Unified Search (OPUS) from the PDS RMS Node Megan R.K. Seritan, M.S. Tiscareno, R.S. French, M.R. Showalter, M.K. Gordon, Y.-J. Chang, D.J. Stopp, J.N. Spitale, M.J.T. Mace, E.R. Simpson | SETI Institute—Mountain View, CA The Planetary Data System (PDS) is NASA’s scientifically-guided archive for planetary science: The Ring-Moon Systems (RMS) Node is a PDS Discipline Node located at the SETI Institute in Mountain View, CA: The Outer Planets Unified Search (OPUS) is a cross- mission, cross-instrument data search tool: What is PDS? What is RMS? What is OPUS? OPUS Support of Cross-Discipline, Cross-Instrument Search What’s New! • Users can now search using detailed geometric metadata for all Galileo SSI images Example 2 of RMS-generated metadata: Geometric metadata Galileo SSI metadata Cassini UVIS HDAC Cassini UVIS HSP Cassini UVIS EUV Cassini CIRS Cassini CIRS Cassini ISS Different Filters Cassini VIMS New Horizons MVIC OPUS provides rich, consistent metadata • OPUS now includes New Horizons LORRI and MVIC data through the end of 2020 New Horizons new data • New previews and diagrams are available for browsing and downloading • These provide at-a-glance identification info for these non-image observations • Four different Voyager instruments are supported: PPS, UVS, and RSS (occultation) & ISS (reflectance) Previews show the occultation profile itself… …while diagrams show the source’s path through the field of view. • OPUS now supports PDS4 datasets! • Metadata still consistent and accurate! Related concepts with different names, such as “volume” (PDS3) and “bundle” (PDS4), are combined • Earth-based Uranus ring & atmosphere stellar occultations from 1977-2002 is the first PDS4-only data set in OPUS Support for PDS4 OPUS geometric search categories 0.5 0.6 0.7 0.8 Hubble WCF3 F689M Galileo SSI Red Voyager ISS Orange Cassini ISS Red 0.65-0.72 μm 0.62-0.73 μm 0.59-0.64 μm 0.57-0.72 μm wavelength (μm) Example 1 of RMS-generated metadata: Consistent wavelength information Example 3 of RMS-generated metadata: Information-rich search results • Archival datasets, especially in PDS3, were not designed with cross-discipline, cross- instrument search as a goal • Because of this, the metadata in these archival datasets that would make cross- discipline, cross-instrument search possible is usually incomplete or missing, at no fault of the data provider • The major benefit of OPUS is that RMS creates consistent supplemental metadata fields to facilitate cross-mission, cross-discipline search • See the following examples of RMS-generated metadata that allow cross-discipline, cross- instrument search: • OPUS makes wavelength into a standardized attribute • This feature addresses the issue of filters covering similar, but not identical, wavelength ranges and having various names • For example: • When wavelength is a standardized attribute, users can find related observations that may not have been found when looking at archived metadata alone • OPUS geometric metadata identifies every body and ring inside the field of view of an image • This metadata is derived by densely sampling the field of view and reporting the full range of values for each geometric parameter • These attributes are available in a consistent way for every supported dataset • RMS-generated thumbnails are a visual type of metadata to make cross-discipline, cross- instrument search easier • Some sets of thumbnails use color-coding to indicate wavelength/filter type: • A federated structure of six discipline-specific nodes and two support nodes • Run by scientists who bridge the data community and the research community • Provides expert curation and peer review of datasets • The Node’s emphasis is on datasets in which rings, moons, and/or their primary bodies are viewed as a system • We focus on placing individual data products in context • In practice, this works out to: o Jupiter, Saturn, Uranus, Neptune, Pluto, &