Mediterranean Sea, Western Basin
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This dataset includes observations of VMADCP data collected during the PRE-SWOT experiment.
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This dataset illustrates a study of the trawlable seabed of the Gulf of Lion, which took place over 11 years between 1965 and 1976. An inventory of the bentho-demersal community was carried out by bottom trawling. Measurements of total weight were taken as well as sex determination. This study was carried out with the research vessel Ichthys. 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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This dataset illustrates a study of the trawlable seabed of the Gulf of Lion, which took place over four years between 1957 and 1960. An inventory of the bentho-demersal community was carried out by bottom trawling. Measurements of total weight and length were taken as well as sex determination. This study was carried out with the research vessel Président Théodore Tissier up to 1959 and with the research vessel La Thalassa in 1960. 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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Database of annotated data - This dataset focuses on real-time or in-situ sound signatures from marine environments. These sounds have been validated and labelled by experts (team members) and are harmonized in terms of characteristics, metadata, and format. It serves a dual purpose: as a training set to refine the AI algorithm and as a test set to validate its performance.
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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.
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This is the third cruise for the US Office of Naval Research’s Coherent Lagrangian Pathways from the Surface Ocean to Interior (Calypso) project. The program is motivated by the understanding that the vertical movement of water from the surface to depth across the base of the mixed layer has implications for the transport of properties, gases, biogeochemistry, and the fate of drifting particles/objects. However, vertical velocities are weak (about a thousand times smaller than horizontal velocities) and difficult to detect. To represent these motions we need to answer the following questions: (1) How are water and properties from the surface boundary layer exported to depth? (2) What coherent pathways act as conduits for exchange? (3) What dynamics shapes these pathways? (4) What are the Lagrangian trajectories? (5) What are the time and space scales of subduction? (6) Where does the water end up? (7) Can we predict these pathways in 3 dimensions and what data are needed to aid or constrain predictive models? Previous work has established the theoretical basis for predicting coherent Lagrangian structures in the ocean. Confirmation of the predictive theory has only been accomplished in the horizontal dimension and the observational study and confirmation of predictive theories for 3D plus time have not yet been demonstrated. Calypso aims to: (1) Establish an understanding and predictive capability of the three-dimensional coherent pathways by which water carrying tracers and drifting objects is transported from the surface ocean to depths below the mixed layer. (2) Design and implement an observational study to test the theories, hypothesis, and predictions of the 3-D, time-evolving Lagrangian pathways. Due to the need to sample across a range of scales, we have set up this two-ship study with numerous autonomous and Lagrangian platforms. Eurofleets+ helped the observational program succeed via the award of ship time on R/V Pelagia. During the cruise, most of the operations from R/V Pelagia focussed on repeat surveys at a front and a cyclonic eddy to the NE of the front with a variety of ship-based measurements and autonomous platforms. Two-ship operations combined repeat small-scale surveys by R/V Pelagia , which were embedded within larger scale surveys by R/V Pourquois Pas. 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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This dataset contains the CTD data collected during the GOMBESSA 6 cruise, from 1 to 12 July 2021, in Corsica, western Mediterranean, jointly by the (MARBEC MARine Biodiversity, Exploitation and Conservation)-[http://www.umr-marbec.fr/en/?lang=en] (France) teams. The full-depth CTD profiles were performed using an autonomous SeaBird SBE 19plus V2 SeaCAT Profiler CTD, from the Pionnier vessel belonging to (Seaowl)-[https://web.facebook.com/page.andromede/?_rdc=1&_rdr] France and chartered by the French Navy. Nine stations, from the depth of 115 m to the surface, were sampled off the Corsica coasts (western Mediterranean basin) between latitude 43.11-43.74 °N and longitude 9.49-9.52 °E. The acquisition rate was 4 Hz. The accuracy, specified by the manufacturer, were ± 0.005 °C for temperature and ± 0.0005 S/m for conductivity. The dataset is provided in different formats (CSV, NetCDF, Ocean Data View collection), which contains, for each station the following parameters: Depth [salt_water,m] Temperature [ITS-90,deg-C] pH Salinity, Practical [PSU] Conductivity [S/m] Density [kg/m^3] Oxygen [mL/L] Oxygen_sat [% saturation] Oxygen_umoll [umol/L] Turbidity [NTU] Fluorescence [mg/m^3] Light [PAR/Irradiance] QC (reference: OceanSITES quality flags http://www.oceansites.org/docs/oceansites_user_manual_version1.2.doc) Julian Days and UTC time (yyyy-mm-ddThh:mm:ss.sss) The ZIP archives contain 1/ a map of stations 2/ the list of the ID stations, geographic coordinates and general metadata 3/ all raw data acquired, for all parameters, in CNV format, 4/ the downcasts and upcasts in CSV format, 5/ the upcasts only in ODV, 6/ NetCDF and 7/ TXT formats, and 8/ two vertical profile graphs including all stations (sea water temperature and oxygen). All data acquired are publicly accessible without any restriction (under CC-BY licence). The extracted data are accessible from this GOMBESSA 6 landing page with a downloadable ZIP 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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EMSO-LO (European Multidisciplinary See floor Observatory and water column, Western Ligurian Site) is a second generation permanent submarine observatory deployed offshore of Toulon, France. This submarine network is part of the LSPM (Laboratoire Sous-Marin Provence Méditerannée, https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. The Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an Instrumented Interface Module (MII), an autonomous mooring line (ALBATROSS) and a Scientific Junction Box (BJS, developed by Ifremer). On the ocean floor, instruments and plateforms can be connected to the BJS whose role is to supply energy and internet connection to the instruments of the site. Among the most relevant novelties, BathyBot is an underwater robot that joined the observatory site for several years, and deployed from a structure called BathyDock. BathyBot - A benthic robot to see the invisible in the depths of the Mediterranean Sea is a remotely-operated, cabled exploration robot. It is dedicated to long-term monitoring of deep-sea environmental variables (oxygen, temperature, salinity, pressure, current - the fluorimeter data flux is available through the aquadopp data flux) as well as biology, thanks to two different cameras (images available through a citizen science project http://ecotaxa.obs-vlfr.fr/). In particular, BathyBot will enable to see the bioluminescence emitted by marine organisms and better understand its ecological role. 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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This visualization product displays the size of litter in percent per net per year from research and monitoring protocols. EMODnet Chemistry included the collection of marine litter in its 3rd phase. Before 2021, there was no coordinated effort at the regional or European scale for micro-litter. Given this situation, EMODnet Chemistry proposed to adopt the data gathering and data management approach as generally applied for marine data, i.e., populating metadata and data in the CDI Data Discovery and Access service using dedicated SeaDataNet data transport formats. EMODnet Chemistry is currently the official EU collector of micro-litter data from Marine Strategy Framework Directive (MSFD) National Monitoring activities (descriptor 10). A series of specific standard vocabularies or standard terms related to micro-litter have been added to SeaDataNet NVS (NERC Vocabulary Server) Common Vocabularies to describe the micro-litter. European micro-litter data are collected by the National Oceanographic Data Centres (NODCs). Micro-litter map products are generated from NODCs data after a test of the aggregated collection including data and data format checks and data harmonization. A filter is applied to represent only micro-litter sampled according to research and monitoring protocols as MSFD monitoring. To calculate percentages for each size, formula applied is: Size (%) = (∑number of particles of each size)*100 / (∑number of particles of all size) When the number of microlitters was not filled or was equal to zero, it was not possible to calculate the percentage. Standard vocabularies for microliter sizes are taken from Seadatanet's H03 library (https://vocab.seadatanet.org/v_bodc_vocab_v2/search.asp?lib=H03 ). Different protocols with different degrees of precision were used to classify the sampled micro-litters. Consequently, on the map, the distribution of micro-litter in the size classes depends on the protocol applied during the survey. Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the National Oceanographic Data Centre (NODC) for this area.
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This visualization product displays the density of floating micro-litter per net normalized in grams per km² per year from specific protocols different from research and monitoring protocols. EMODnet Chemistry included the collection of marine litter in its 3rd phase. Before 2021, there was no coordinated effort at the regional or European scale for micro-litter. Given this situation, EMODnet Chemistry proposed to adopt the data gathering and data management approach as generally applied for marine data, i.e., populating metadata and data in the CDI Data Discovery and Access service using dedicated SeaDataNet data transport formats. EMODnet Chemistry is currently the official EU collector of micro-litter data from Marine Strategy Framework Directive (MSFD) National Monitoring activities (descriptor 10). A series of specific standard vocabularies or standard terms related to micro-litter have been added to SeaDataNet NVS (NERC Vocabulary Server) Common Vocabularies to describe the micro-litter. European micro-litter data are collected by the National Oceanographic Data Centres (NODCs). Micro-litter map products are generated from NODCs data after a test of the aggregated collection including data and data format checks and data harmonization. A filter is applied to represent only micro-litter sampled according to a very specific protocol such as the Volvo Ocean Race (VOR) or Oceaneye. Densities were calculated for each net using the following calculation: Density (weight of particles per km²) = Micro-litter weight / (Sampling effort (km) * Net opening (cm) * 0.00001) When the weight of microlitters or the net opening was not filled, it was not possible to calculate the density. Percentiles 50, 75, 95 & 99 have been calculated taking into account data for all years. Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the National Oceanographic Data Centre (NODC) for this area.