Circalittoral faunal turfs are animal-dominated shelf assemblages that are found on hard substrata between the lower limit of the infralittoral zone and the shelf edge. Benthic organisms generally form dense intricate mixes that may include tall alcyonarians, sponges, hydroids, scleractinians and gorgonians, as well as less prominent fauna such as encrusting sponges, bryozoans, ascidians, bivalves, solitary cup corals, serpulid worms and vermetid gastropods.

Black corals are antipatharian corals that occur from sublittoral to abyssal depths on hard, mixed and soft substrates. Under favourable conditions, some black coral species form dense stands known as black coral gardens which create habitat for a variety of associated species.

Rhodoliths is a general term used to designate non-geniculate coralline red algae (Rhodophyta) that live unattached (Riosmena-Rodríguez, 2017). The term is used here to encompass (i) branched free-living coralline algae devoid of an evident nucleus, but also (ii) nucleated nodules where the biogenic calcium carbonate deposit around the core represents >50%, as well as (iii) “coated grains” where the core is larger than the algal carbonate component.

<p>Plankton observations along the South Brazilian Shelf, with a focus on the Cabo Frio Upwelling System. The sampling was done using images generated by an in-situ imaging device, the Lightframe On-Sight Key Species Investigation (LOKI): An underwater camera system designed for vertical hauls for continuous, in-situ imaging of zooplankton. It is equipped with an environmental sensor (CTD) that measured the density of the water column, salinity, oxygen concentration and temperature.</p>

<p>This dataset includes the data used in in the HELCOM/OSPAR Ballast Water Exemptions Decision Support Tool. This tool was developed in 2013 based on the overall IMO framework, the 21 Baltic and North-East Atlantic coastal states and the EU. It allows user to define 'low risk' routes, as well as other necessary steps in granting exemptions under regulation A-4 of the IMO Ballast Water Management Convention (BWMC)</p>

January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.

January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.

January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.

January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.

January spawning ground occurrence probability was modeled as part of INTERREG 3a CHARM II project (2006-2008). The gridded dataset (horizontal resolution 0.009 x 0.009 decimal degrees, i.e. approximately 800m) was created by (Carpentier et al, 2009) by fitting a Generalised Linear Model (GLM) using IBTS survey data and a series of environmental raster datasets. More information is available in the metadata of the original data source (Carpentier et al, 2009) and the CHARM II final report - see lineage for a link to these items.