Aerial surveys with bird observations around the off shore wind farm Borssele (North Sea). It is acquired for gaining insight in spatio-temporal behavior of patterns of birds. RWS case number: 31163291.

Classification of the seabed in the Atlantic Ocean into broad-scale benthic habitats employing a non-hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. The numbers in the raster layer correspond to individual classes. Description of these classes is given in McQuaid, K.A. et al. (2023).

Classification of the Atlantic Ocean seabed into broad-scale benthic habitats employing a hierarchical top-down clustering approach aimed at informing Marine Spatial Planning. This work was performed at the University of Plymouth in 2021 with data provided by a wide group of partners representing the nations surrounding the Atlantic Ocean. It classifies continuous environmental data into discrete classes that can be compared to observed biogeographical patterns at various scales. It has 3 levels of classification. For ease of use, a layer is provided for each level. Level 1 has 4 classes. Level 2 has 15 classes nested within level 1. Layers indices are 2 digits (1[level1 class index]1[level 2 class index]). Level 3 has 157 classes nested within level 2 and class names have 4 digits (1digit[level1 class index]1[level 2 class index]2[level 3 class index]). Note that the classification was performed for the whole world and thus it has more classes than in the presented layer.

Abundance data (individuals.100 m-3) of planktonic cnidarians collected during the Camadas Finas III oceanographic cruise along the North Brazilian continental shelf between the Amazon and Oyapok river mouths and equatorial Atlantic oceanic waters between 8°N, 51°W and 3.5°S, 37°W. Data was obtained during the oceanographic cruise Camadas Finas III, aboard the research vessel NHo. Cruzeiro do Sul - H38 (DHN/Brazilian Navy), performed in 9-31 October 2012. Planktonic cnidarians were sorted from zooplankton samples collected at at 44 stations in oblique hauls, using Bongo nets with 120 and 300 µm mesh and 0.3 and 0.6 m mouth diameter, respectively. The water column was sampled from near the bottom to the surface over the continental shelf and from 200 m to the surface in the offshore. The net was towed at approximately 2 knots, at various times of day and night. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

The dataset represents data primary processing of zoobenthos samples taken in the Chaun Bay of the East Siberian Sea in October 2020 during an expedition onboard R/V "Akademik Oparin" Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

The two SOMLIT-Wimereux time-series data characterize hydrology and plankton biomass and diversity of the eastern English Channel near Boulogne sur mer, located at 50°40,75'N and 1°31,17'E and 1° 24,64'E . Fortnightly measurements have been undertaken since 1998 by a laboratory involving the CNRS, University of Lille and ULCO, named the Laboratory of Oceanology and Geoscience (UMR 8187 LOG) since 2008 (https://log.cnrs.fr). The SOMLIT-Wimereux observation station is a part of the French monitoring network SOMLIT (https://www.somlit.fr/), accredited by the CNRS as a national Earth Science Observatory (Service National d’Observation : SNO). It aims to detect the long-term evolution of these ecosystems including both natural and anthropogenic forcings. The development of a systematic approach to observing coastal environments is the result of local initiatives, based either on opportunities or on a tradition of scientific culture specific to each Marine Station / Marine Laboratory. The federation of these efforts by four French coastal stations (Roscoff, Arcachon-Bordeaux, Marseille, and Villefranche-sur-Mer), through RESOMAR, led to the establishment of the Service d'Observation en Milieu Littoral (SOMLIT) in 1995. In 1996, SOMLIT was accredited by the INSU (Ocean-Atmosphere domain), giving it the status of National Observation Service (SNO). The first banked data appeared in January 1997. Following new evaluations, SOMLIT was again accredited in 2001, 2005, 2009, 2015, and 2020. Since its creation, various Marine Stations have joined SOMLIT:  1996: Roscoff, Arcachon-Bordeaux, Marseille, and Villefranche-sur-Mer  1997 : Banyuls-sur-Mer  1998 : Wimereux and Brest  2007 : Luc-sur-Mer  2011 : La Rochelle  2012 : Dinard  2015 : Sète  2017 : the station of Anglet started the acquisition of SOMLIT parameters. It is not yet in the labelled perimeter. SOMLIT currently includes 11 Marine Stations / Marine Laboratories within its certified perimeter and a Marine Station that acquires data according to SOMLIT protocols. In addition to the acquisition of all the parameters collected under the SNO SOMLIT, additional samples are taken by some LOG researchers to support other SNOs (PHYTOBS, U. Christaki) and related research activities related to the characterization of microbial diversity using molecular tools (S. Monchy & U. Christaki), microbial and phytoplanktonic dynamics using automated approaches (F. Artigas), photosynthetic activity using automated variable fluorescence (F. Lizon) and zooplankton diversity (A. Delegrange). Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

The data concerns the structure and morphometry of the seagrasses Zostera marina and Zostera noltei, the diversity of the associated epifauna and the benthic fluxes of oxygen, carbon and nutrients. The dataset includes 103 sampling events divided among four sites and spread across three distinct marine biogeographic regions (i.e. the English Channel, Bay of Biscay and Western Mediterranean), and up to five seasons, depending on the site. The sampling scale allows inter-site and intra-habitat comparisons . Environmental conditions are also described at the site scale. As the most comprehensive and broadscale French dataset on seagrass structure and functioning  to date, it is useful for both data analysis and management actions. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

Abundance data (individuals.m-3) of large microzooplankton assemblages collected during two “Acoustics along the Brazilian coast” surveys ((ABRACOS 2)-[https://doi.org/10.17600/15005600]) performed along the northeast Brazilian continental shelf and slope between 5 and 9° S and around oceanic seamounts and islands from Fernando de Noronha ridge, including the Fernando de Noronha Archipelago itself and the Rocas Atoll. The surveys were carried out on board the French oceanographic vessel R/V Antea in austral spring (September–October 2015) and autumn (April–May 2017). Planktonic cnidarians were sorted from zooplankton samples collected at 34 and 45 stations in spring and autumn, respectively. Samples were collected through oblique hauls, with a Bongo net with a 64 µm mesh size and 0.3 m mouth opening. The water column was sampled from near the bottom to the surface over the continental shelf and from 200 m to the surface in the offshore. The net was towed at approximately 2 knots, at various times of day and night. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

This dataset contains an inventory of the benthic fauna of the Tunisian coasts by bottom trawling and dredging. The objectives are not known. We assume that this is an exploratory seabed trawling survey to assess the fishing possibilities in the region with this gear. We know that the inventory was written by Jacques Ancellin (director of the Boulogne-sur-Mer laboratory after the Second World War and he joined the OSTPM in 1942). Only species presence were recorded. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.