Plankton Web Application Project for AIP-7 By Lawrence E. McGovern, DSC International Council on System Engineering/WYLE Aerospace

Introduction to Plankton*Net The PLANKTON*NET data provider at the Alfred Wegener Institute for Polar and Marine Research is an open access repository for plankton-related information. It covers all types of phytoplankton and zooplankton from marine and freshwater areas. PLANKTON*NET's greatest strength is its comprehensiveness as for the different taxa image information as well as taxonomic descriptions can be archived. PLANKTON*NET also contains a glossary with accompanying images to illustrate the term definitions. PLANKTON*NET therefore presents a vital tool for the preservation of historic data sets as well as the archival of current research results. Our Web Application for AIP-7 is based on Plankton*Net and the features we have added. Because interoperability with international biodiversity data providers (e.g. GBIF) is one of our aims, the architecture behind the new repository is observation centric and allows for mulitple assignment of assets (images, references, animations, etc) to any given observation. In addition, images can be grouped in sets and/or assigned tags to satisfy user-specific (2) A taxonomic unit in the biological system of classification of organisms, for example: a phylum, order, family, genus, or species is the TAXON.organismsphylumorderfamilygenusspecies

Features added to the Plankton*Net Web Application: Ability to Select Area of Interest in Google map Integration of the Area of interest in Google map with GEO Portal Search for Country Geography Lat/Long of Area of Interest Association of the Area of Interest with Highest TAXONS in the Plankton* Net DB Observation Content Obtained from Location LAT/LONG From Google Map joined with Highest Taxon in Plankton*Net DB

Rectangular Area of Interest in Google Map Showing E/W Corners

Depicts GEOSS/Country search results provided from the Plankton WEB Application Integration

Place name of Observation associated by Highest Taxon in Database

Observation Content Obtained from Location LAT/LONG From Google Map