-
Mediterranean Sea Chlorophyll-a-Seasonal climatology
Moving 6-year analysis of Water_body_chlorophyll-a in the Mediterranean Sea for each season: - winter: January-March, - spring: April-June, - summer: July-September, - autumn:... -
Predicted abundance of swordfish - 2018-2019 (ACCOBAMS)
The dataset present predicted number of animals per 100 km2 reported on centroids of a 0.2 x 0.2 degrees grid. ACCOBAMS Survey Initiative, 2018 Data described in report:... -
Target species - Reptiles (Italy)
Distribution of reptile target species in marine-coastal areas of Italy as described in the 4th National Report under Art. 17 of the Habitats Directive. Data are represented... -
Target species - Invertebrates (Italy)
Distribution of invertebrates target species in Italian marine-coastal areas as described in the 4th National Report under Art. 17 of the Habitats Directive. Data are... -
Important Bird Areas - IBA - Italy - 2019 (GN)
Italian IBAs provided by the Italian National Geoportal (GN). The associated table contains the following information: IBA_CODE, IBA area code; IBA_NAME, name of the IBA area;... -
WISE WFD Quality Elements status reported under Water Framework Directive - 2016
The WISE WFD quality elements status contains information about the ecological status or potential of European surface water bodies, delineated for the River Basin Management... -
Parapenaeus longirostris Nursery map (EMODnet)
Data derives from Sergio Ragonese's article, published on July 2017. Aim of this paper is to establish discrete (well delimited and not diffuse) nurseries of the Parapenaeus... -
Eledone cirrhosa Nursery map (EMODnet)
Data derives from Sergio Ragonese's article, published on July 2017. Aim of this paper is to establish discrete (well delimited and not diffuse) nurseries of the Eledone... -
Merluccius merluccius Nursery map (EMODnet)
Data derives from Sergio Ragonese's article, published on July 2017. Aim of this paper is to establish discrete (well delimited and not diffuse) nurseries of the Merluccius... -
Predicted abundance of spinetail devil rays - 2018-2019 (ACCOBAMS)
The dataset present predicted number of Mobula mobular individuals per 100 km2 reported on centroids of a 0.2 x 0.2 degrees grid. ACCOBAMS Survey Initiative, 2018 Data described... -
Predicted abundance of shark specimens - 2018-2019 (ACCOBAMS)
The dataset present predicted number of animals per 100 km2 reported on centroids of a 0.2 x 0.2 degrees grid. ACCOBAMS Survey Initiative, 2018 Data described in report:... -
Predicted abundance of striped dolphins - 2018-2019 (ACCOBAMS)
The dataset present predicted number of Stenella coeruleoalba individuals per 100 km2 reported on centroids of a 0.2 x 0.2 degrees grid. ACCOBAMS Survey Initiative, 2018 Data... -
Predicted abundance of Risso’s dolphins - 2018-2019 (ACCOBAMS)
The dataset present predicted number of Grampus griseus individuals per 100 km2 reported on centroids of a 0.2 x 0.2 degrees grid. ACCOBAMS Survey Initiative, 2018 Data... -
Predicted abundance of fin whales - 2018-2019 (ACCOBAMS)
The dataset present predicted number of Balaenoptera physalus individuals per 100 km2 reported on centroids of a 0.2 x 0.2 degrees grid. ACCOBAMS Survey Initiative, 2018 Data... -
Predicted abundance of loggerhead turtles - 2018-2019 (ACCOBAMS)
The dataset present predicted number of loggerhead turtles (Caretta caretta) per 100 km2 reported on centroids of a 0.2 x 0.2 degrees grid. ACCOBAMS Survey Initiative, 2018 Data... -
Predicted abundance of bottlenose dolphins - 2018-2019 (ACCOBAMS)
The dataset present predicted number of Tursiops truncatus individuals per 100 km2 reported on centroids of a 0.2 x 0.2 degrees grid. ACCOBAMS Survey Initiative, 2018 Data... -
Global Dataset of Important Marine Mammal Areas - IMMAs (IUCN MMPATF)
Waters identified as Important Marine Mammal Areas (IMMAs), candidate IMMAs (cIMMAs) or areas of interest (AoI). "Important Marine Mammal Areas (IMMAs) are defined as discrete...