This is a slide I always start with, as it show the unique environment the Antarctic form and was already
Identification aid High quality (useful) pictures Expert Descriptions Built on-the-fly from various sources Generates a pdf for taxa/area of interest
The Microbial Antarctic Resources System (mARS) is envisioned as an information system dedicated to facilitate the discovery, access and analysis of geo-referenced, molecular microbial diversity (meta)data generated by Antarctic researchers, in an Open fashion. The scope of diversity will encompass all freel-living and host-associated virus, Bacteria, Archaea, and singled-celled Eukarya.
mARS focuses on past, present and future works. It offers a community-driven platform for scientists to publish, document, analyse and share their (meta)data with the broad community for science, conservation and management purposes, in the spirit of the Antarctic Treaty.
Marine Lifewatch meeting 3-5 June 2014
The Antarctic Biodiversity Portal!
contributions to a marine virtual
Anton Van de Putte
« In order to promote international cooperation in
scientiﬁc investigation in Antarctica, […],
Scientiﬁc observations and results from Antarctica
shall be exchanged and made freely available. »
Antarctic biodiversity data are open, linked, useful,
interoperable and safe.
• Born during the IPY as Census of
Antarctic Marine Life as the data,
visualization and analysis
• Free and open access to
• SCAR-MarBIN and ANTABIF
• Science, conservation and
• Networked community
Architectural design &
mARS white paper
• Step 1: Data description and discovery
• Step 2: Habitat and Microbial Sequence
– (MiMARKS Data Standard; Microbial_Sequence_Set_Template)
• Step 3: Georeferenced-molecular sequence
• Step 4: Processing batch sequence data –
Circum-Antarctic microbial diversity
• Application of informatics techniques to
• Improved integration, presentation, discovery,
exploration and analysis.
• Yields new ways to view and analyse existing
information, as well as predictive models for
information that does not yet exist.
• Allows data-intensive biodiversity research and
applications (e.g. in conservation)