The ability to find, access, and visualize data is critical to many kinds of oceanographic research, as well as to teaching oceanography. Yet ocean data, when available, is held in multiple data facilities, in different formats, and is accessible through different pathways. This creates practical problems with integrating and working across different data sets. The SeaView project is building connections between the rich data resources in five major oceanographic data facilities - R2R, BCO-DMO, CCHDO, OBIS and OOI - creating a federated collection of data sets that are organized around common characteristics (geo location, time, expedition, program, data type, etc) and published online in Web Accessible Folders using standard file formats. Use cases will be developed to demonstrate importing/exporting, viewing, and integrating data sets in both specialized tools such as Ocean Data View (ODV) and general software environments such as Python.
SeaView Data Collections
SeavView has released its first two integrated thematic data collections, one from data collected in the area of the OOI Pioneer Array, and one around the Hawaii Ocean Timeseries station. Access to both ODV and NetCDF versions fo the collections are available through the SeaView data access webpage at seaviewdata.org
The SeaView Team
- Karen Stocks, Scripps Institution of Oceanography
- Steve Diggs, Scripps Institution of Oceanography
- Bob Arko, Lamont-Doherty Earth Observatory
- Danie Kinkade, Woods Hole Oceanographic Institution
- Adam Shepherd, Woods Hole Oceanographic Institution
Recent & Upcoming Activities & Presentations
26 February, Poster and Presentation at Aquatic Sciences Meeting, Hawaii.
14 December 2016. Poster OS31A-1992 at AGU
6 July 2016 Poster at EarthCube All-Hands Meeting, Denver.
23 February 2016 Poster at Ocean Sciences Meeting, New Orleans: SeaView: Bringing EarthCube to the Oceanographer
21 February 2016 End user scientist workshop on data priorities and science scenarios. New Orleans.
Use cases developed by workshop participants