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|What you want is what you get: a web interface for World Ocean Database 98 (Poster)|
T'Jampens, R.; Vanden Berghe, E. (2002). What you want is what you get: a web interface for World Ocean Database 98 (Poster), in: Brown, M. et al. (Ed.) (2002). The Colour of Ocean Data: International Symposium on oceanographic data and information management, with special attention to biological data. Brussels, Belgium, 25-27 November 2002: book of abstracts. VLIZ Special Publication, 11: pp. 87
In: Brown, M. et al. (Ed.) (2002). The Colour of Ocean Data: International Symposium on oceanographic data and information management, with special attention to biological data. Brussels, Belgium, 25-27 November 2002: book of abstracts. VLIZ Special Publication, 11. Flanders Marine Institute (VLIZ): Oostende. XI, 93 pp., more
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950, more
The usefulness and importance of the World Ocean Database (WOD) cannot be overstated. Within the world of oceanographic data, this is probably the most comprehensive and most consulted database on physical oceanography parameters. The data from the World Ocean Database are available online, as is a specialised viewer - Ocean Data View (ODV). Unfortunately, the data come in zipped files, which typically contain many more data than the ones needed. ODV, while very powerful, is not trivial to learn to use. The specialist user will be able to invest the time and energy to learn how to download the WOD files, and open them in ODV. The occasional user, however, might be deterred by the complexities. VLIZ decided to build a user-friendly web interface for the WOD, and make the data for the North Sea available through this interface. This activity frames in the objectives of the VLIZ, to make access to data relevant to the North Sea as easy as possible, and where possible through the institute’s web site.
All data from the six WMO squares overlapping with the North Sea where extracted from the WOD, and uploaded in a MS SQL-Server database, using a application written in MS VB. The resulting database was compared with extractions from WOD done with ODV, as a quality-checking procedure. The database contains 25 tables; all features of the WOD can be imported, including quality control flags and supporting documentation. Extra fields have been added to allow merging data from other datasets, keeping track of the origin of data.