The ARCHYD dataset, which have been collected since 1988, represents the longest long-term hydrologic data sets in Arcachon Bay. The objectives of this monitoring programme are to assess the influence of oceanic and continental inputs on the water quality of the bay and their implications on biological processes. It also aims to estimate the effectiveness of management policies in the bay by providing information on trends and/or shifts in pressure, state, and impact variables. Sampling is carried on stations spread across the entire bay, but since 1988, the number and location of stations have changed slightly to better take into account the gradient of ocean and continental inputs. In 2005, the ARCHYD network was reduced to 8 stations that are still sampled by Ifremer to date. All the stations are sampled at a weekly frequency, at midday, alternately around the low spring tide and the high neap tide. Data are complementary to REPHY dataset. Physico-chemical measures include temperature, salinity, turbidity, suspended matters (organic, mineral), dissolved oxygen and dissolved inorganic nutrients (ammonium, nitrite+nitrate, phosphate, silicate). Biological measures include pigment proxies of phytoplankton biomass and state (chlorophyll a and phaeopigment). 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 Green Edge project was designed to investigate the onset, life and fate of a phytoplankton spring bloom (PSB) in the Arctic Ocean. The lengthening of the ice-free period and the warming of seawater, amongst other factors, have induced major changes in arctic ocean biology over the last decades. Because the PSB is at the base of the Arctic Ocean food chain, it is crucial to understand how changes in the arctic environment will affect it. Green Edge was a large multidisciplinary collaborative project bringing researchers and technicians from 28 different institutions in seven countries, together aiming at understanding these changes and their impacts on the future. The fieldwork for the Green Edge project took place over two years (2015 and 2016) and was carried out from both an ice camp and a research vessel in the Baffin Bay, Canadian arctic. Here, we describe the data set obtained during the research cruise, which took place aboard the Canadian Coast Guard Ship (CCGS) Amundsen in spring 2016. 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 CGFS campaign is part of a historical series of fishing surveys that began in 1988 (CGFS Eastern part, conducted on the R/V Gwen Drez) and was extended to cover the entire English Channel regularly from 2018 (on R/V Thalassa). OInly data for the Eastern Channel is presented. For data from the Western Channel please see "WCGFS". For both surveys, the main objective is to collect basic data for estimating the state of resources through direct assessment of stock abundance and distribution, along with biological sampling of the catches. Taking place every year between mid-September and mid-October, it contributes to the European project for the contractualization of basic fishery data collection (DCF). The campaign also allows for sampling and a better understanding of the entire ecosystem, aligning with the implementation of an ecosystem-based approach to fisheries at the community level. The CGFS also provides data for numerous national and international research projects. The collected and validated data are transmitted at the end of each campaign to national databases (SIH, Harmonie, Coriolis) and the European database (DATRAS), enabling their use by different working groups and ensuring public access to this data. Finally, the CGFS data contributes to the baseline assessment of the impact of numerous marine aggregates extraction projects (through a multi-year convention signed between the Ministry of Ecology, Sustainable Development and Spatial Planning, IFREMER, and BRGM) planned or underway in the Eastern English Channel. 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.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 Institute of Estuarine and Coastal Studies (IECS) was commissioned by Forewind Ltd to carry out a Phase 1 biotope survey of the intertidal zone located between the towns of Redcar and Marske-by-the-Sea, Tees estuary, Teesside. This area has been identified as a preferred landfall location for export cables, with the ultimate aim of connecting offshore wind farms off the Teesside coastline to the National Grid. The intertidal survey was completed as part of the development of the Environmental Impact Assessment (EIA) required from Forewind Ltd to continue with the proposal to use this area as a landfall site.

Lewis Wave Power Ltd. (LWP) (a wholly owned subsidiary of Aquamarine Power Ltd.) was seeking to develop a wave energy demonstration array off the west coast of the Isle of Lewis. As a first stage of the Environmental Impact Assessment (EIA) for the project, LWP commissioned Royal Haskoning Ltd. to produce an Environmental Scoping Report (Lewis Wave Power Ltd., 2011) to facilitate the identification and assessment of the potential environmental impacts associated with the project. The survey reported on here formed this field-based benthic component. Its purpose was to provide site-specific benthic data to inform an assessment of impact of the proposed development. The key objectives were to: Determine the distribution and abundance of marine habitats and communities within the study areas; Determine the substrate type at all locations sampled and Identify habitats or species of conservation importance.

This dataset assembles historical information existing in public and private documentary archives. Taken together, these data contribute to the building of a knowledge base of the historical presence, extent and biogenic formations of European flat oyster ecosystems prior to and during the intensification of bottom fishing activities. To identify and recover such information requires significant resources and expertise. The establishment of a Historical Ecology Working Group under the umbrella of the Native Oyster Restoration Alliance in early 2020 presented a unique opportunity to coalesce interdisciplinary expertise and resources from multiple European countries to collate and interrogate historical data sources. To date, this is the only known dataset that evidences the past distribution, extent and characteristics of this seabed ecosystem across its full biogeographic range. The described datasets present qualitative and quantitative extracts from written records published between 1524-2022, which show: (1) estimated locations of past oyster fisheries and/or reef habitat across its full biogeographical range, with associated levels of confidence; (2) recorded extent of past reef habitats, and; (3) species associated with these habitats. This comprehensive historical analysis demonstrates that oyster reefs were once a dominant three-dimensional feature along much of the European coastline and some shallow shelf seas.

The national monitoring program is financed by the Swedish Agency for Marine and Water Management. Monitoring is performed by the Swedish Museum of Natural History. Data are stored in the Swedish Ocean Archive (SHARK) by the Swedish Meteorological and Hydrological Institute (SMHI). Information about the program and the methods are available in Swedish at the website of Swedish Agency for Marine and Water Management, https://www.havochvatten.se/overvakning-och-uppfoljning/miljoovervakning/marin-miljoovervakning/tumlare.html

Data were collected in the Southwest Greenland Fjords for the Eurofleets+ GSHARK cruise with the R/V Dana. This submission contains all CTD data and the shark observations. The team tried to use the CTD in several stations but it was not functioning properly so only 1 vertical profile was gathered (on 02/08/2021 near station 3, 60,6958 -46,0373).

Data collected during the BENCHMARK cruise. The cruise was carried out between August 1-10, 2021 on Denmark Strait, in Icelandic and Greenlandic waters. The objectives of the cruise were to characterise the composition and distribution of epibenthic fauna in the Denmark Strait, with a particular focus on taxa considered indicators of Vulnerable Marine Ecosystem, and to survey water mass properties and flow structure in the area.