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The MOOSE-GE cruises aim to provide an annual summer snapshot of the North-Western Mediterranean Sea basin, to observe changes in water mass properties, biogeochemical content and changes in planktonic biodiversity (https://doi.org/10.18142/235). These cruises are part of the national MOOSE program (Mediterranean Ocean Observing System for the Environment) funded by CNRS-INSU and the Research Infrastructure ILICO (French Ministry). Since 2012, lowered and ship ADCP data were collected during MOOSE-GE cruises. This data set contains quality controlled data of horizontal currents measured by ship and lowered ADCPs. 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.
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Physical data associated with the AMAZOMIX cruise. The Amazon shelf encompasses a variety of physical processes, such as fluvial inputs, coastal currents, mesoscale, filaments, tides, internal waves and upwelling, influencing nutrient concentrations, chlorophyll and suspended matter. They also affect energy, salt and heat balances; parameters that condition physical/biogeochemical interactions and ecosystem functioning, from bacteria to plankton to fish resources. In particular, internal tidal waves are very energetic in this region. They impact biogeochemical cycles via the vertical mixture induced by their dissipation or vertical movements induced by their propagation. They thus allow a significant input of nutriments into the euphotic layer enhancing primary production, as observed on the surface from watercolour data. Internal tidal waves could thus influence the biological pump and the carbon cycle. In addition, overall marine biodiversity of the region, from bacteria to fish is not well described. The connectivity of species in the tropical Atlantic is also still an open question. The Caribbean region is by far more bio-diverse than the Brazilian one. One of the hypotheses is that the Amazon plume, which can extend up to 3,000 km off the mouth, would constitute a barrier for some organisms. The Amazon Shelf is thus an ideal experimental laboratory to study the impact of physical processes on the structure and function of neritic and oceanic marine ecosystems. In this context, the objective of the multidisciplinary AMAZOMIX survey was to study the impact of the Amazon River plume, internal tides and associated turbulent mixing, on marine ecosystem in contrasting regions off the Amazon shelf. For that purpose, the multidisciplinary AMAZOMIX project brings together physicists, biogeochemists, bioopticians and biologists. The sampling strategy consists in the simultaneous acquisition of a comprehensive set of environmental and biological compartments, including micro-organisms (bacteria, phyto and zooplankton) and higher trophic levels (micronekton, demersal and pelagic fish). AMAZOMIX is the first campaign to develop this multi-disciplinary approach off the Amazon shelf. In situ results will be analysed in interaction with digital tools and data, modelling (1/36°, with and without tides, 1/12° coupled) and satellite data analyses. This dataset contains the AMAZOMIX 2021 qualified measurements of - The hydrographic CTD-02 (netCDF and csv text files) - Ship Acoustic Doppler Current Profilers (OS 75 kHz, netCDF and csv text files) - Lowered Acoustic Doppler Current Profilers (WH300 downlooking and WH300 uplooking, netCDF and csv text files) - Thermosalinometer (netCDF and csv text files) - Vertical microstructure profile (VMP-250, binary file) 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.
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ADCP measurements of sea currents along the profile at the entrance to the Gulf of Koper, located in the Gulf of Trieste, in November 2011
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This dataset was produced during the Eurofleets + PORO-CLIM cruise. Project PORO-CLIM was conceived to study interplay between the first-order geological processes of continental rifting and break-up, Large Igneous Province emplacement, and global climate change, and to provide ship-based training for a cohort of international students. Cruise CE21008, the PORO-CLIM data acquisition cruise, carried out a marine geophysical survey of the POrcupine and ROckall continental passive margins, to investigate the cause of the Paleocene/Eocene Thermal Maximum, a natural CLIMate change event that is the closest deep-time analogue of anthropogenic environmental change (though the modern change is happening much faster). Project PORO-CLIM also includes a three year post-cruise data work-up phase. 65 expendable bathytherograph (XBT) probes (T-5, T-11) were deployed to constrain the seismic velocity in the water layer. Sound speed was calculated assuming a constant salinity of 34.9 psu. The €1.2M project is funded by the EU Horizon 2020 EuroFleets+ programme, the PIPCORSG industrial consortium and the Irish Marine Research Programme.
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A cluster of 20 CARTHE-type drifters were deployed in the open sea area in front of Livorno (Italy) on October 8, 2020. The deployment was part of the DDR20- "Drifter demonstration and Research 2020" experiment performed in collaboration with the CMRE-NATO and Consorzio LaMMA, and supported by many EU projects, such as SICOMAR plus, JERICO-S3, SINAPSI, and IMPACT. CARTHE-type drifters are biodegradable drifters, spanning the first 60cm of the water column (Novelli 2017, 2018, 2020). The deployment strategy consisted of releasing drifters on a regular grid (about 3km side and 500m step) in a time window of about 2 hours. 5 drifters heading south were collected on October 10, 2020 and re-deployed, on the same day, approx. 2.5 nm to the north of the initial deployment area. 3 stranded drifters were redeployed on November 11, 2020 in the open sea area in front of the La Spezia Gulf. Each file contains a drifter trajectory in the NetCDF format (ex: 001.nc, 002.nc, etc...). Trajectories of those drifters that were collected and re-deployed are splitted in different files (ex: 001_a.nc, 001_b.nc). Nominal drifter transmission rate: 10 minutes. Positions available until January 23, 2021. The dataset includes raw positions; outliers were removed. References: • Novelli, G., C.M. Guigand, C. Cousin, E. Ryan, N. Laxague, H. Dai, B. Haus, and T.M. Özgökmen (2017). A biodegradable surface drifter for ocean sampling on a massive scale. J. Atmos. Oceanic Technol., 34(11), 2509-2532. • Novelli, G., C.M. Guigand, T.M. Özgökmen (2018). Technological Advances in Drifters for Oil Transport Studies. Marine Technology Society Journal, 52(6), 53-61. • Novelli, G, C.M. Guigand, M. Boufadel, T.M. Özgökmen (2020). On the transport and landfall of marine oil spills, laboratory and field observations. Marine Pollution Bulletin, 150, 110805. • http://interreg-maritime.eu/web/sicomarplus • https://www.jerico-ri.eu/ • http://interreg-maritime.eu/web/sinapsi • http://interreg-maritime.eu/web/impact 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.
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The purpose of the InterRidge Global Database of Active Submarine Hydrothermal Vent Fields, hereafter referred to as the "InterRidge Vents Database," is to provide a comprehensive list of active submarine hydrothermal vent fields for use in academic research, education, and marine policy. This dataset includes a data table (flat file) and a map representing the InterRidge Vents Database Version 3.4. Version 3.4 was completed on 25 March 2020 with a total of 721 vent fields, with 666 confirmed or inferred active and 55 inactive (please note: the database is not comprehensive for inactive vent fields). The number of known active vent fields increased by 134 in the past decade since the publication of InterRidge Vents Database Version 2.1 (Beaulieu et al., 2013, doi:10.1002/2013GC004998). The contents of the InterRidge Vents Database were derived principally from the open literature. The database includes a vocabulary of vent field names and information that may be useful in mapping, including position (latitude, longitude), depth, region, tectonic setting, national jurisdiction, and ocean. Additional information includes names of individual vent sites within vent fields, spreading rate for those vent fields at spreading centers, maximum temperature or temperature category (high or low) for confirmed active vent fields, notes on site description and biology for some of the vent fields, year discovered, and references. This data set has been used as one of the data inputs in the Atlantic REMP project. This project, funded by the European Union, worked together with stakeholders to produce a draft Regional Environmental Management Plan (REMP) for the Area in the North Atlantic, with a focus on the polymetallic sulphide deposits of the Mid-Atlantic Ridge which are of interest for deep-sea mining. There was close collaboration with the International Seabed Authority (ISA) and a consortium of scientific organisations. Marine data from multiple data services underpinned the environmental management plan development. A selection of the data sets is included in EMODnet Ingestion for wider distribution.
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This dataset is included the following chemistry parameters of seawater:temperature, salinity, oxygen, phosphate, nitrite, pH.
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This dataset is included the following chemistry parameters of seawater:temperature, salinity, oxygen, phosphate, pH, phosphorus.
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This dataset is included the following chemistry parameters of seawater:temperature, salinity, oxygen, phosphate, pH, phosphorus,nitrite,nitrate.
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This dataset is included the following chemistry parameters of seawater: temperature, salinity, oxygen, phosphate, pH, nitrite, nitrate, nitrogen, phosphorus.