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.

Although zooplankton was extensively studied in the North Sea, knowledge about winter zooplankton assemblages is still scarce, despite potential influence of zooplankton overwintering stocks on seasonal plankton succession and productivity. Furthermore, several economically and ecologically important fish species reproduce during winter contributing to the zooplankton community as passive members (eggs) or predators (larvae). To shed some light on winter zooplankton distribution, abundance and composition in the Southern North Sea and Eastern English Channel, we defined assemblages based on mesozoo- and ichthyoplankton data sampled between January and February 2008 using fuzzy-clustering and indicator species. Mesozoo- and ichthyoplankton (eggs+larvae) were integrated in a common analysis by using a spatial grid adapted to the datasets and defined by means of a geostatistical method developed in agronomics. Potential environmental drivers of assemblage distribution were evaluated by means of GLMM and comparison with data from 2022 facilitated insight about the inter-annual representativeness of the assemblages. Five zooplankton assemblages were found varying with regard to total zooplankton abundance, dominant and indicator taxa. Spatial variability of abiotic (dissolved nutrients, salinity, depth, temperature, organic matter in suspension, chlorophyll a), biotic variables (phyto- and microplankton composition), water masses and fish spawning grounds were revealed as potential drivers of assemblage distribution. Assemblages off the Rhine-Scheldt estuary and in the German Bight harbored the biggest zooplankton overwintering stocks that might influence the grazing pressure on phytoplankton spring production. Assemblages off the Rhine-Scheldt estuary and covering the English Channel and the Southern Bight were found to be of high importance for herring and plaice larvae. Although further analyses suggested inter-annual representativeness of the assemblages found (2008 vs 2022), the assessment of further years would be necessary to account for potential inter-annual variability. Future studies could profit from the assessment of microzooplankton facilitating insight in fish larvae feeding potential and zooplankton overwintering strategies. 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.

This dataset describes the dissolved cobalt and manganese distributions in the East China Sea. Other parameters such as salinity, water temperature, potential density, dissolved oxygen, and nutrient (nitrate, phosphate, and silicate) concentrations are also included. Seawater samples used for generating this dataset were obtained during the KS-15-6 cruise onboard R/V Shinsei Maru between July and August 2015 (Stn1 to Stn15), and during the KH-15-3 cruise onboard R/V Hakuho Maru in October 2015 (F1, D4, B8, and I1). Dissolved cobalt concentrations were determined using cathodic stripping voltammetry at the University of Tokyo and by using inductively coupled plasma - mass spectrometry (ICP-MS) at Kanazawa University, Japan. Meanwhile, dissolved manganese concentrations were determined using ICP-MS at both the University of Tokyo and Kanazawa University. All samples were irradiated with ultraviolet light before analysis. 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 measurements of dissolved nitrate, phosphate and silica during two deployments, each lasting several weeks each at the OBSEA observatory during 2022 and 2023. Three prototype lab on chip in situ chemical analysers developed at the National Oceanography Centre, UK, were deployed at the site during summer 2022 and summer 2023. The nitrate sensor uses the Griess colorimetric assay and a copperised cadmium column to measure dissolved nitrate (and nitrite). Each sample measurement was calibrated by measuring onboard calibration standards prepared in artificial seawater with a salinity of 35. A blank solution and a standard solution containing 10 µmol / L of potassium nitrate were measured immediately prior to each sample measurement. Nitrate data is available between 2022-06-16 and 2022-07-06. Sample measurements were made every 2 hours initially, but this was decreased to once every 4 hours from 2022-06-30. The phosphate sensor uses a colorimetric assay based on the Molybdenum Blue method. Each sample measurement was calibrated by measuring onboard calibration standards prepared in artificial seawater with a salinity of 35. A blank solution and two standard solutions containing 0.5 µmol / L and 2 µmol / L of potassium dihydrogen phosphate were measured immediately prior to each sample measurement. Phosphate data is available between 2022-06-16 and 2022-07-05, with a sampling frequency of every 2 hours (decreasing to every 4 hours from 2022-06-30), and between 2023-07-21 and 2023-09-12, with a sampling frequency of every 12 hours. The dissolved silica sensor uses a colorimetric assay also based on the Molybdenum Blue method. Each sample measurement was calibrated by measuring onboard calibration standards prepared in artificial seawater with a salinity of 35. A blank solution and two standard solutions containing 5 µmol / L and 15 µmol / L of sodium hexafluorosilicate were measured immediately prior to each sample measurement. Dissolved silica data is available between 2023-07-21 and 2023-08-12, with a sampling frequency of every 6 hours. Timestamps in the datafiles are in UTC and concentration units are µmol / L. This work was made possible by a TNA from the JERICO-S3  project funded by the European Commission – H2020 Framework Programme (grant agreement No.871153).   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 platforms IAOOS 23 and IAOOS 24 were deployed within 600 m from each other at the North Pole from the Russia-operated Barneo ice camp on April 12, 2017. They followed a meandering trajectory, reaching as far as 30°E in the Nansen Basin, before turning back to the western Fram Strait. On both IAOOS 23 and 24, the ocean profiler was a PROVOR SPI (from French manufacturer NKE) equipped with a Seabird SBE41 CTD (Conductivity, Temperature, Depth) and a dissolved oxygen (DO) Aandera 4330 optode. For the first time, the profiler on IAOOS 23 also carried biogeochemical sensors. It featured a bio-optics sensor suite and a submersible ultraviolet nitrate analyzer (SUNA, Satlantic-Seabird Inc.). The bio-optics sensor suite (called Pack Rem A) combines a three-optical-sensor instrument (ECO Triplet, WET Labs Inc.) and a multispectral radiometer (OCR-504, Satlantic Inc.). The present dataset is composed of CTD-DO data from IAOOS 23 and 24, corrected from the thermal lag and the sensor lag, despiked and interpolated vertically every 0.5 m. It also comprises nitrate concentrations from the SUNA and CDOM fluorescence from the WETLabs ECO sensor on IAOOS 23. Other biogeochemical data will be added to this dataset. The profilers were set to perform two upward profiles a day from 250 m (IAOOS 23) and 350 m (IAOOS 24) upward starting at approximately 6 am and 6 pm. They provided a unique 8-month long dataset, gathering a total of 793 profiles of the temperature, salinity and oxygen (upper 350m) and 427 profiles of CDOM and nitrates concentrations (upper 250m).   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.

Two quality controlled datasets here archived were collected during the oceanographic cruise MEIO that held in October-November 2022 over the South Western Indian Ocean, onboard S.A. Agulhas II. The first dataset is composed of continuous vertical profiles of the 12 oceanographic stations. The profiles have a resolution of 1dbar. The parameters reported in this data set are: pressure (in dbar), in-situ temperature (in °C), practical salinity, dissolved oxygen concentration (in µmol/kg), fluorescence of calibrated chlorophyll-a fluorescence (in µg/L), nitrate concentration (in µmol/kg) and particle attenuation @660nm (in 1/m). The second dataset is composed of discrete samples collected during the 12 stations. The parameters are the sensors measurements of every samples, dissolved oxygen concentration measured by the Winkler method (in µmol/kg), practical salinity measured by Autosal, concentration of silicate (in µmol/kg), concentration of phosphate (in µmol/kg) , concentration of nitrite (in µmol/kg), concentration of nitrate (in µmol/kg), concentration of pigments (processed by HPLC). These datasets aim to contribute to the extension of the One-Argo programme in the southwestern area of the Indian Ocean through the deployment of a significant number of floats; and to collect reference measurements through a multi-instrumented CTD rosette, allowing in particular to calibrate the robots’ sensors, just before their deployment. The two datasets were collected in concomitancy with the deployment of 29 One-Argo floats (WMO numbers : 5906536, 6903149, 4902620, 6903088, 6903148, 6990505, 5906970, 7901013, 4902626, 6903150, 5906972, 6903031, 5906540, 5906969, 4902623, 6990503, 3902471, 5906539, 6990504, 1902572, 5906537, 4902628, 7901003, 3902472, 6903033, 5906538, 1902573, 6903084, 5906971). 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.

Data related to the article: Shelf Water Export at the Brazil-Malvinas Confluence Evidenced From Combined In-situ and Satellite Observations. By Gaston Manta, Sabrina Speich, Marcelo Barreiro, Romina Trinchin, Camila de Mello, Remi Laxenaire and Alberto R. Piola. Oceanographic dataset of CTD, TSG, and ADCP campaign in Uruguay during April-May 2016 (see the paper). CTD_Manta_etal_2022.nc contains the 82 CTD profiles There are matrices of 4219 * 82. 4219 is the maximum pressure reached by a station. The rest is filled with NaNs. TSG_Manta_etal_2022.csv is the TSG data with a 10 minute centered moving average and a coarse calibration of the fluorometer (see the paper). ADCP_Manta_etal_2022.nc are u and v velocities from the hull-mounted ADCP, matrices of depth (50)x time(18500) processed with cascade and tide corrected. Water_samples_Manta_etal_2022.csv Contains nutrients and chlorophyll-a at 5m depth. (Time is always in MatLab datenum format and in year-month-day-hour-minute-second) You can find more details about the data in the paper and also here http://data.utm.csic.es/geonetwork/srv/eng/catalog.search#/metadata/urn:SDN:CSR:LOCAL:29SG20160408 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 investigations of Blekinge coast started in 1978. In 1990 the program "Blekinge Kustvattenkontrollprogram." water control program, was formed, building on the stations sampled earlier, but with extended sampling.

The investigations of Blekinge coast started in 1978. In 1990 the program "Blekinge Kustvattenkontrollprogram" Blekinge Coastal water control programme, was formed, building on the stations sampled earlier, but with extended sampling.