Marine Data Format Types (from Ocean Teacher Digital Library). A description of some of the major data formats used to manage ocean data. Browse through the subsections describing the different data formats. Of particular interest for this course are:
- Archive Formats. These formats include the World Ocean Database format which will be used in this course.
- Spreadsheet Formats. Spreadsheets are one of the more popular formats to describe marine data. The Ocean Data View spreadsheet format will be used in the ODV exercises.
Integration Schematic for Data, Formats and Software
Physical Oceanographic Measurements (from Ocean Teacher Digital Library). A brief description of physical oceanographic parameters and instruments to provide a conceptual framework and terminology for marine data managers.
Marine Parameter Value Ranges (from Ocean Teacher Digital Library). A simplified global range table for some common parameters.
Standard Depths for Marine Measurement (from Ocean Teacher Digital Library). Oceanographic measurements have traditionally been taken at standard ("nominal") depths,
Major Global Data Collection Projects. There are a few important programmes that collect and manager global oceanographic data and make these data availabel in standard formats. They include:
- World Ocean Database (WOD). WOD is a project established by the Intergovernmental Oceanographic Commission (IOC) of UNESCO which represents the world’s largest collection of ocean profile-plankton data available internationally without restriction
- Global Temperature and Salinity Profile Program (GTSPP). GTSPP is a cooperative international program to develop and maintain a global ocean Temperature-Salinity resource with data that are both up-to-date and of the highest quality. It is a joint World Meteorological Organization (WMO) and Intergovernmental Oceanographic Commission (IOC) program.
- Argo. Argo is a global array of 3,000 free-drifting profiling floats that measures the temperature and salinity of the upper 2000 m of the ocean.
Folder Structure for Data
An important component of good data management is the ability to store all data files in an efficient manner. A database management system (DBMS) can be used to to store and manipulate data however most datasets will be recieved in a variety of formats that may not be easily imported to a DBMS. To manage the many files used by a data manager, as well as the products that are created, some sort of "standard" folder structure is required. This is an example of a "basic" folder structure, consisting of the top levels only (2 or 3 levels within the main folder). You can of course add more subfolders as appropiate. Long, descriptive files names are also important to uniquely identify datasets.
As this course will be using only ODV, a simplified folder structure can used for the exercises:
NAMIBIA - Project files for this area
- - OCEAN
- - - WOD
- - - CTD
- METADATA (Detailed information about any of these datasets)
- PRODUCTS (Created by ODV)
- - ODV (Collections and their products made with Ocean Data View)
- - - COLLECTIONS (Individual collections of data by data type, area or other original selection criteria)
- - - IMAGES (Saved images of graphics)
- - - INTERPOLATIONS (XYZ data triplets exported from ODV's "surface mode" analyses)
- - - SUBSETS (Spreadsheets of data taken from larger collections)
- - - TIMESERIES