Granularity

In principle the granularity is defined as one to many data sets per event. If new data are archived, the final graunlarity is in the decision of the PI. (Keep in mind, that the size of one entity (data set) should still allow a download over the Internet.) A set should consist of e.g. all parameters belonging to one analysis or method or category. In more detail, the structure of data in Pangaea may be described as follows. Starting from a
 * 1) single analytical value, data are mostly organized in sequences with an (increasing) geocode in space (e.g. depth) or relative/absolute time. Such a sequence of one to many data points forms a
 * 2) data series, described by one parameter with relations to event, method, PI and a data series relevant comment. One to several data series are forming a
 * 3) data set which is the major data granule of the system; data are imported in data sets and are provided by PangaVista in the same configuration. Data sets have relations to authors (staff) and references and are citable on its own; with a title and a DOI. One to many data sets may be grouped to a
 * 4) parent set to form a new entity. The parent set has an official bibliographic citation and is added to public library catalogs TIBORDER. An abstract with a description of the data is added.

Examples of typical data set granules are:
 * Physical oceanography from one CTD
 * Grain size distribution of one sediment core
 * Photos from one sea-bed ROV station
 * Mineralogy of surface sediments from several samples
 * Isotopes measured in a biological object
 * Oxygen lander profile through the water/sediment interface
 * Time series with oceanographic measurements over one year
 * Seismic profile