Areas which, through scientific criteria, have been identified as important for the healthy functioning ecologically and biologically of oceans and the services that they provide.

This dataset was prepared under the Sectoral Plan of Natura 2000, corresponding to the level 3 of the natural habitats of comunity interest listed in Annex I of the Habitats Directive. This dataset only concernes to the marine and coastal habitats.

Dtaset within the framework of the SNIMar project, which consists of the georeferencing of a set of sites on the Coast of Mainland Portugal where seabird and aquatic birds can be observed.

Delimitation of the Special Protection Areas (SPA) of the Azores Autonomous Region. Vectorial cartography relative to the limits of the Natura 2000 sites of the Azores, published by the Regional Legislative Decree No. 20/2006/A, June 6 (amended by the Declaração de Retificação No. 48-A/2006 of 7 August, and the Regional Legislative Decree No. 7/2007/A, 10 April).

Delimitation of the Special Areas of Conservation (SAC) of the Azores Autonomous Region. Vectorial cartography relative to the limits of the Natura 2000 sites of the Azores, published by the Regional Legislative Decree No. 20/2006/A, June 6 (amended by the Declaração de Retificação No. 48-A/2006 of 7 August, and the Regional Legislative Decree No. 7/2007/A, 10 April).

This layer provides geographic information related to a predictive distribution modelling for the demersal fish specie Beryx splendens (Splendid alfonsino) in the Azorean sea.

This layer provides geographic information related to a predictive distribution modelling for cold-water coral genus Callogorgia in the Azorean sea.

This layer provides geographic information related to a predictive distribution modelling for cold-water coral genus Polyplumaria in the Azorean sea.

Delimitation of the Sites of Community Importance (SCI) in the Azores Autonomous Region, identified in the Commission Decision nº 1001/2009/UE, of December 22nd.

This layer provides geographic information related to a predictive distribution modeling for cold-water coral genus Acanthogorgia in the Azorean sea.