The French Atlantic coast hosts numerous macrotidal and turbid estuaries that flow into the Bay of Biscay that are natural corridors for migratory fishes. The two best known are those of the Gironde and the Loire. However, there are also a dozen estuaries set geographically among them, of a smaller scale. The physico-chemical quality of estuarine waters is a necessary support element for biological life and determines the distribution of species, on which many ecosystem services (e.g. professional or recreational fishing) depend. With rising temperatures and water levels, declining precipitation and population growth projected for the New Aquitaine region by 2030, the question of how the quality and ecological status of estuarine waters will evolve becomes increasingly critical. The MAGEST (Mesures Automatisées pour l’observation et la Gestion des ESTuaires nord aquitains) high-frequency monitoring of key physico-chemical parameters was first developed in the Gironde estuary in 2004 ; the Seudre and Charente estuaries were instrumented late 2020. First based on real-time automated systems, MAGEST is now equipped by autonomous multiparameter sensors. Depending of the stations, an optode is also deployed to secure dissolved oxygen measurement. By the end of 2020, MAGEST had 12 instrumented sites. Portets is a measuring station located in the upper Gironde estuary (Garonne subestuary, about 20 km upstream of the Bordeaux metropolis. 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.

Galata platform real time data is one of the most important sources of multi-parameter operational information in the Black Sea which will serve for monitoring, verification and improvement of modeling results and forecasts as well as for collecting long time series of data needed for climatic research. It also provides useful real time information for marine industry and safety.

Galata platform real time data is one of the most important sources of multi-parameter operational information in the Black Sea which will serve for monitoring, verification and improvement of modeling results and forecasts as well as for collecting long time series of data needed for climatic research. It also provides useful real time information for marine industry and safety.

chemical data from monitoring cruises

Chemical data from monitoring cruises 2017

Part of Deliverable 6.1 of GENIALG Project. Datasets used for parametrisation and validation of models and evaluation of farm footprint. The dataset consists of continuous and spot sampling records of temperature, salinity (conductivity), turbidity, Secchi disk depths, irradiance (as PAR), nutrients and suspended matter content in water samples. Records obtain at Ventry Harbour test farm between September 2017 and October 2019 during GENIALG project (project ID: 727892, GENIALG - GENetic diversity exploitation for Innovative Macro-ALGal biorefinery, http://genialgproject.eu/). GENIALG was funded by the European Union Horizon2020 programme. The remit of the work was assessing the environmental footprint and ecosystem services provided by seaweed aquaculture in Europe to provide best practice advice to industry.

As part of the STeP project (STorfjorden Polynya multidisciplinary study), two moorings, M1 and M2, were deployed in Storfjorden (Svalbard) on July 14, 2016 from the French R/V L’Atalante and were recovered one year later, on September 28, 2017, from the French R/V Pourquoi-Pas?. The two moorings, deployed a few hundred meters apart at 78°N and 20°E at a depth of 100m, documented the formation of dense Brine-enriched Shelf Water (BSW).  The moorings included both physical oceanography (PO) and biogeochemistry sensors. The present dataset is composed of PO data only: the 3 components of the currents, backscatter, salinity, temperature and dissolved oxygen. PO sensors on M1, spanning the whole water column, included 6 Seabird SBE37 microcat (CTD),  15 RBR solo (T), and 1 RBR duet (TD) for hydrography, while currents were monitored with a RDI WH 300kHz upward looking ADCP and 1 Nortek Aquadopp underneath. PO sensors on the shorter M2 mooring included 1 Seabird SBE63 (CTD-O2), 1 RBR solo (T) and 1 RBR duo (TD). Data have been calibrated and validated and the different steps of this processing are discussed in the technical report provided with the dataset. Two netcdf4 files are provided for M1: one for hydrography (STEP2016_M1_hydrography.nc), the other one (STEP2016_M1_current.nc)  for currents and backscatter. Only one netcdf4 files (STEP2016_M2_hydrography.nc) is provided for the shorter M2. Temperature and salinity data from SBE sensors have been interpolated on a common time grid with a 20’ time step. Likewise temperature data from RBR are provided on a 30” time grid. A merged SBE-RBR dataset has also been built for increased vertical resolution, providing temperature every 20’. ADCP data are provided on a 100’ time grid. The user is referred to the technical report provided with the dataset for further information on the different fields. 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 main part of the dataset has been collected within the MOMO project (Monitoring and modelling of cohesive sediment transport and evaluation of the effects of dredging and dumping operations on the marine ecosystem) at four locations (MOW1, Blankenberge, WZ-buoy, MOW0, Ostend and Geul van de Walvisstaart buoy). A large part of the data is from the MOW1 station, situated about 3 km offshore the harbour of Zeebrugge. Shorter time series have been collected for the Environmental Impact Assessment of the Belwind offshore windfarm at two locations (Blighbank, Gootebank) and the MOZ4 project (Westdiep location). A central objective of the MOMO project is to collect long-term time series of Suspended Particulate Matter concentration, size and transport in the coastal turbidity maximum located in the Belgian Part of the North Sea. Data from two sensors are included in this dataset. First, from a LISST-100X instrument, which contains four parameters: the optical transmission, the median distribution of the sediment particle size (micrometers), the Sauter mean diameter (micrometer) and the total SPM volume concentration (microlitres/litre). Second from in-situ observation of water turbidity derived from an Optical Backscatter Sensor (OBS) together with a CTD sensor. The following parameters are included: water pressure, salinity, water temperature, turbidity and SPM mass concentration (mg/l). The OBS is calibrated in the laboratory using standard turbidity solutions, and in the field using SPMC determined through filtration of water samples. -Observations of 3-D flow velocity field measured with an Acoustic Doppler Velocimeter (ADV). -In-situ observations of particle size distribution and sediment concentration measured by a Workhorse LISST-100X instrument. Four parameters are measured by the sensor: the optical transmission, the median distribution of the sediment particle size (micrometers), the sauter mean diameter (micrometer) and the total sediment volume (microlitres/litre). -Current profiles measured with an Acoustic Doppler Profiler (ADP) sensor -3-D flow velocity field measured with an Acoustic Doppler Velocimeter (ADV)

EMSO is a European network of seabed and fixed-point water column observatories whose scientific objective is to acquire long time series in the seas around Europe for the study of environmental processes related to interactions between geosphere, biosphere and hydrosphere. MAREGAMI project (MARine Earthquake Gap Assessment and Monitoring for Istanbul) is a bilateral Turkish-French collaborative project coordinated by IFREMER and Istanbul Technical University and funded by ANR and TÜBITAK. The goal of MAREGAMI was the development of new methods and monitoring strategies to assess earthquake and tsunami risks related to offshore faults, with tasks: (1) Marine geodesy: acquisition and processing of geodetic submarine data, (2) Hydrodynamics and specific depositional processes: water column data acquisition and hydrodynamic modeling, (3) Improving earthquake relocation with ocean bottom instruments, (4) Designing an optimal and sustainable network of submarine sensors. Data distributed here were acquired for MAREGAMI Task 2.  These consist of time series acquired during 4 deployments on the sealfoor perfomed between January 2018 and November 2020 of an instrumented frame holding a RBR bottom pressure recorder (BPR) and a Seaguard recording current meter (RCM) equipped with additional sensors (conductivity, oxygen, tide pressure end temperature). The acquisition and distribution of marine data time series in the Sea of Marmara is funded by EMSO-France Research Infrastructure, EMSO-Link, and MAREGAMI projet. DT-INSU provided operational support and instrumentation. 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 COAST-HF-MAREL-Iroise buoy is a scientific plateform to monitor at high frequency (subhourly) and for long term (since 2000) the coastal ecosystem of the Bay of Brest, which is impacted by both continental and Iroise Sea inputs.This buoy is a part of the national observation network COAST-HF - COAstal ocean observing system-HighFrequency (http://somlit.epoc.u-bordeaux1.fr/fr/). Both data base are complementary so that manual data are used to qualify and/or correct buoy’s data (e. g. for temperature, salinity and dissolved oxyge). Corrected data are subsequently called « adjusted-parameter » in the Iroise data base. Manual SOMLIT-Portzic data are also systematically used to convert fluorescence sensor data collected in raw fluorescence unit(FFU) into « eq-µg/L of  chlorophyll » : all fluorescence data are then available as « adjusted-fluorecence » in the data base. Precision estimated of the complete data collection process is : temperature (±0.1°C), conductivity (±0.3mS/cm), dissolved oxygen (±10%), in vivo fluorescence (±10%), and turbidity (±10%). By the mean of two additional sensors, these core parameters are completed by aerial Photosynthetic Activated Radiation (PAR) and FugacityCO2 (±3µatm). The data can be viewed on the website: https://www.coriolis-cotier.org/. 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.