Physics – Space Physics
Scientific paper
May 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007agusmsm23a..01r&link_type=abstract
American Geophysical Union, Spring Meeting 2007, abstract #SM23A-01
Physics
Space Physics
0525 Data Management, 0530 Data Presentation And Visualization, 2199 General Or Miscellaneous, 2499 General Or Miscellaneous, 2799 General Or Miscellaneous
Scientific paper
NASA's Virtual Space Physics Observatory (VSPO), now sponsored by the Space Physics Data Facility at GSFC, is an operational portal to most of the frequently accessed Space Physics datasets from current and past missions. It includes access to many relevant solar physics data products as well as some services (e.g., SSCWeb-based "quick orbits" and links to CCMC). The Web interface to the underlying gateway allows a user to search for data using criteria such as observation time, measurement type, resolution, observatory/spacecraft, and region of space observed. It is now directly based on the SPASE data model and can harvest new product descriptions and make both the descriptions and the products available immediately. VSPO provides direct links to data services such that plots and data subsets from CDAWeb or files from the Virtual Solar Observatory can be obtained directly through the VSPO interface. Direct machine access to datasets allows other applications to use VSPO to find and load data. Discipline specific VxOs and data center based data systems can provide greater functionality for particular datasets, but VSPO provides a simple route to a broad range of "Heliphysics Great Observatory" products. It is thus useful for a range of tasks, inlcuding browsing data from many missions and geophysical/solar indices, obtaining quick downloads of data and plots, finding the location of spacecraft, and determining what products are available in a given region of space. We will continue to add products, harvesting data descriptions from VxOs and working on obtaining access to as nearly a complete set of Space and Solar Phsyics datasets as possible.
Cornwell Christopher
King Ji
McGuire Rory
Roberts Daniel A.
Schmidt Jonas
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