The provided microplastic dataset was generated during The Ocean Race Europe in May-June 2021. The samples were collected onboard two 65’ one-design yachts known as VolvoOcean65, called AmberSail2 and AkzoNobel Ocean Racing in the Baltic Sea, North Atlantic Ocean and Mediterranean Sea. The instruments used for underway measurements were the same as used in Tanuha et al., 2020. The system consists of a specially built OceanPack RACE manufactured by SubCtech GmbH in Kiel, which was connected to a microplastic filtration unit built by bbe Moldaenke GmbH. (Data submission https://www.emodnet-ingestion.eu/submissions/submissions_details.php?menu=39&tpd=232&step=0103_001volvo%20ocean%20race). The mixed-layer surface water (~1.5 m depending on the heel of the yachts) was sampled in the Baltic Sea, North Atlantic Ocean and Mediterranean Sea. The laboratory analysis of collected samples was undertaken by GEOMAR (Kiel), under the supervision of Aaron Beck and Toste Tanuha. The data variables includes GPS positions, time, temperature, salinity, flow rates and durations, sample ID, measured microplastic fiber, fragments and total concentration in [particles/m³]. Respetive concentrations of fiber and fragments are also provided for different colors: blue,red, orange, pink, yellow, green, black, clear, purple, grey, brown. Acknowledgements go to 11th Hour, teams AmberSail2 (Tomas Ivanauskas,Regimantas Buozius) and AkzoNobel (Liz Wardley), TheOcean Race Sustainability and Science programmes, bbe Moldaenke GmbH and SubCtech GmbH.

This dataset is included the following parameters: water temperature, salinity,air temperature,visibility (code). Research vessel:"Mikhail Somov".

Gridded fields of salinity for 50 N - 67 N, 41,5 W - 61,5 W geographic region (yearly, 2000 - 2016), 29 standard depths

This dataset is included the following parameters: Meteorological: air tTemperature,humidity,pressure,wind speed,wind direction. Hydrology: temperature,salinity,density. Hydrochemistry: oxygen,phosphate,silicate,oxygen,pH,alkalinity.

Datawell Waverider data collected at southern part of full-scale wave test site at EMEC (Orkney, UK), in year 2017. Data was processed using Datawell W@ves21 software, no QC had been applied. Location: Billia Croo; Resolution of data: 1.28 Hz; Sample period (s): 1800; Number of data records: 17520; Pings (readings) per Ens: 2304; Mode: Integrated parameters. 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.

Surface Ocean CO2 Atlas (SOCAT)

This dataset is included the following meteorological parameters: wind speed, wind direction, visibility, total clouds cover, air temperature, sea level pressure, pressure tendency, amount of pressure tendency, present weather(code), sea surface temperature, height of wind waves and etc. Ship Callsign:"UANA". Research vessel:"Fridtjof Nansen".

In the Northwest Atlantic, Pandalus borealis (northern shrimp) serve as key mid-trophic consumers and prey for higher-trophic predators, including commercially important fish species. However, the impact of changing environmental conditions on trophic interactions and lipid storage in sub-Arctic ecosystems is not well understood. We employed biochemical tracers (fatty acids and stable isotopes) to investigate the trophic ecology and stage-specific nutritional condition of P. borealis across spatial and seasonal scales. A total of 68 different fatty acids (FAs) were identified in P. borealis tissues (i.e., muscle and eggs). The relative abundances of these FAs varied among sex, tissues, seasons, and fishing areas. Results revealed that P. borealis primarily fed on diatoms and zooplankton, with opportunistic feeding on sinking phytodetritus. Lipid composition showed strong seasonality, with storage triacylglycerols being the predominant lipid class. Ovigerous females exhibited the highest lipid concentrations and essential fatty acids, emphasizing the ecological importance of eggs as high-quality lipid sources. Additionally, total lipid content in eggs increased from spring to summer, highlighting vulnerability to shifts in seasonal primary production. This study underscores the significant seasonal variability in the nutritional status of P. borealis and the need to understand lipid dynamics to assess population resilience to environmental changes. 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 mooring was deployed on 15 September 2017 from Norwegian Research Vessel Lance at 80.6°N and 7.26°E (depth of 730 m) in the Yermak Pass over the Yermak Plateau north of Svalbard. It comprised 3 instruments: an upward-looking RDI 75kHz, a Long Ranger Acoustic Doppler Current Profiler (ADCP) at 340 m with 16 m vertical resolution (25 bins of 16 m each) and a 2-hour sampling time; a Seabird SBE37 measuring temperature, salinity and pressure at 348 m with 10-minute sampling time; and an Aquadopp current meter at 645 m with a 2-hour sampling time. The mooring was retrieved on the 19 July 2020 by Norwegian Icebreaker K.V. Svalbard. The present dataset features: The ADCP 50-hour high pass filtered velocities and  the Aquadopp 50-hour high pass filtered velocities. 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.

Global phytoplankton production monthly maps for 2017 are produced using an artificial neural network to perform a generalized nonlinear regression of PP on several predictive variables, including latitude, longitude, day length, MLD, SST, PBopt computed according to Behrenfeld and Falkowski (1997), PAR and CHL(0 m). More details about this model can be found in Scardi (2001). Behrenfeld, M. J., Falkowski, P. G. (1997), Photosynthetic rates derived from satellite-based chlorophyll concentration, Limnology & Oceanography, 42(1), 1–20. Scardi, M. (2001), Advances in neural network modeling of phytoplankton primary production, Ecological Modelling, 146, 33–45.