The Eurofleets+ IOPD research cruise took place from 28/06/2022 till 10/07/2022 in the Uummannaq region in West Greenland where a total of five fjords and the connecting shelf area were sampled. This data upload "Data from IOPD cruise Part 2 Water sample analysis and plankton identifications" contains: -Nutrient data of NH4, NO2, NO3, NOX, PO4 and DSi. -Chlorophyll a data. -Fatty acid profiles (in relative abundance) of the microzooplankton and mesozooplankton community. At certain stations the dominant species was picked out to have a separate fatty acid profile. -Phytoplankton identifications and counts by a FlowCam. - Zooplankton identifications of MultiNet samples by microscopy. A maximum of 10 specimen per species, per net, per sampling station were measured. - Zooplankton identifications of the Video Plankton Recorder data, accompanied with depth, temperature, salinity, turbidity, and fluorescence data from the CTD and FLNTU sensors mounted on the VPR. 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 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.

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 (JGOFS)-[http://ijgofs.whoi.edu/]), 2, focus on small scale biogeochemical processes, in particular at a daily scale, 3, study the influence of nitrogen, phosphorus and iron on oceanic fertility and 4, conduct a calibration/validation operation for the SeaWIFS (Sea-viewing Wide Field-of-View Sensor) color sensor. To reach these objectives, the studied areas, as well as the cruise plan, were designed : To investigate different trophic regimes, to investigate systems characterized by different degrees of limitation in nitrogen and phosphorus and to study stable ("steady state") systems for a sufficiently long period. The cruise track encompassed a variety of trophic systems ranging from eutrophic conditions associated to the Moroccan upwelling to the typical ultra-oligotrophic conditions of the eastern Mediterranean sea during summer stratification. Two main types of stations were occupied : 9 short (4-hour) stations. These sites were occupied around the solar noon and were essentially designed to conduct objectives 1 (JGOFS process studies) and 4 (SeaWIFS validation/calibration) 3 "long" (5-day) stations, where all four objectives were investigated with a particular emphasis on objectives 2 (processes at a daily scale) and 3 (nutrient resources and oceanic fertility). Between each station, continuous multiparametric (hydrological, optical, biological and chemical) surface acquisitions were performed. 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 ocean constitutes a minor source of atmospheric carbon monoxide (CO) at the global scale, but could play an important role far from continental anthropized emission zones. Here we use the NEMO-PISCES (Nucleus for European Modelling of the Ocean, Pelagic Interaction Scheme for Carbon and Ecosystem Studies) ocean general circulation and biogeochemistry model to dynamically assess the oceanic CO budget and its emission to the atmosphere at the global scale. The main bio-chemical sources and sinks of oceanic CO are explicitly represented in the model. The main processes driving the CO concentration are photoproduction and bacterial consumption and are estimated to 19.2 and 21.9?Tg?C?yr-1 respectively with our best-guess modelling setup. There are however very large uncertainties on their respective magnitude. Despite the scarcity of the in situ CO measurements in terms of spatio-temporal coverage, the proposed best simulation is able to represent most of the data (~?300 points) within a factor of two. Overall, the global emissions of CO to the atmosphere are 3.6?Tg?C?yr-1, in the range of recent estimates, but very different from the ones published by Erickson in 1989, which were the only gridded global emission available to date. These oceanic CO emission maps are relevant for use by atmospheric chemical models, especially to study the oxidizing capacity of the atmosphere above the remote ocean. 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.

Samples for phytoplankton analyses are collected by employees responsible for farming at musselfarms/aquaculture to monitor the presence and abundance of toxin-producing phytoplankton. These samples are submitted to SMHI on a bi-weekly basis from mussel farms/aquaculture in coastal areas off the west coast of Sweden. On each sampling occasion two samples from plankton net trawls are pooled in addition to a sample collected with a cylindrical water sampler for integrated sampling 0-10 m. The main attributes are phytoplankton (specifically phycotoxin producing) species composition, biovolumes and abundance. The sampling and data is important for monitoring potential health risks for consumers from biotoxins in the musselfarm/aquaculture processes.

Physical ( temperature, salinity, turbidity), chemical (nitrites, nitrates, ammonia, DIN, phosphates) and biological ( chl-a) in Sozopol Bay, Black Sea. Data collected in the framework of the BalkanMed RECONNECT project ( 2017-2020)

DataSet: Modern cococcolithophore (calcareous nannoplankton) comunities in the Nazaré Canyon region (W off Portugal) This dataset had been collect during HERMIONE 2010 campaign. Data originator and BibReference:Data from Guerreiro et al., 2013; 2014; Guerreiro (2013) BibReferences: GUERREIRO, C., Sá, C., De Stigter, H., Oliveira, A., Cachão, M., Borges, C., Cros, L., Quaresma, L., Santos, A.I., Fortuño, J.M., Rodrigues, A. (2014). Influence of the Nazaré Canyon, central Portuguese margin, on late winter coccolithophore assemblages. Deep Sea Re. II: Topical Studies in Oceanography 104, 335-358. GUERREIRO, C., Oliveira, A., De Stigter, H., Cachão, M., Sá, C., Borges, C., Cros, L., Quaresma, L., Santos, A.I., Fortuño, J.M., Rodrigues, A. (2013). Late winter coccolithophore bloom off central Portugal in response to river discharge and upwelling. Continental Shelf Research 59, 65 - 83. GUERREIRO, C. (2013). (Paleo)ecology of coccolithophores in the submarine canyons of the central Portuguese continental margin: environmental, sedimentary and oceanographic implications. PhD Dissertation, University of Lisbon, Portugal, 251 pp.