IFREMER / GM-MARINE GEOSCIENCES
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Ce lot de données de sismique est mis à dispositon dans le cadre de l'étude de dérisquage à réaliser dans le sud de la Bretagne pour l'attribution d'un Appel d'Offre "éolien flottant commercial" d'ici 2023. Il regroupe les données de sismique acquises uniquement dans les eaux territoriales françaises à bord de 2 campagnes océanographiques: GASPROD / TVCOTOUL (2002) and TROPHAL I (2002).
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This backscatter data package is being made available as part of the de-risking study to be carried out in the Gulf of Lion for the award of a "commercial floating wind turbine" call for tenders by 2022. It includes data covering French territorial waters. Raw data have been acquired during oceanographic campaigns: AM-MED-1, BASAR1, BASAR2, BASAR3, CALMAR97, CALMAR99, RHOSOS et STRATAFORM 1.
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Grid processed for the purpose of the HR DTMs layer of EMODnet Bathymetry HRSM, October 2020
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Grid processed for the purpose of the HR DTMs layer of EMODnet Bathymetry HRSM, October 2020
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Ce lot de données de sismique est mis à dispositon dans le cadre de l'étude de dérisquage à réaliser dans le Golfe du Roussillon pour l'attribution d'un Appel d'Offre "éolien flottant commercial" d'ici 2022. Il regroupe les données de sismique acquises uniquement dans les eaux territoriales françaises à bord de 4 campagnes océanographiques: CALMAR97, RHOSOS, CASCADE, AM-MED-1.
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Ce lot de données bathymétriques est mis à disposition dans le cadre de l'étude de dérisquage à réaliser dans le Golfe du Lion pour l'attribution d'un Appel d'Offre "éolien flottant commercial" d'ici 2022. Il regroupe des modèles numériques de bathymétrie couvrant uniquement les eaux territoriales françaises, et dont les données ont été acquises pendant les campagnes océanographiques : AM-MED-1, BASAR2, BASAR3, RHOSOS et STRATAFORM 1.
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EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. If you use these variables for calculations, please refer to SeaDataNet for having the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (15 parameters with quality flag indicators), and covers the Black Sea, Sea of Marmara and Sea of Azov with 46616 CDI records. Data were aggregated and quality controlled by 'National Institute for Marine Research and Development 'Grigore Antipa' from Romania. Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium. Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/. Detailed documentation is available at: https://doi.org/10.6092/ec8207ef-ed81-4ee5-bf48-e26ff16bf02e The aggregated dataset can be downloaded as ODV spreadsheet, which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ). The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
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The SDC_BLS_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Black Sea including the seasonal and monthly fields for period 1955-2017 and seasonal fields for 6 decades starting from 1955 to 2014. The climatic fields were computed from the integrated Black Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.
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The SDC_MED_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Mediterranean Sea: monthly and seasonal fields for time periods 1955-2018, 1955-1984 and 1985-2018 and seasonal fields for 6 decades covering the time period 1955 to 2018. The climatic fields were computed from an integrated Mediterranean Sea data set that combines data extracted from SeaDataNet infrastructure (SDC_MED_DATA_TS_V2, https://doi.org/10.12770/2a2aa0c5-4054-4a62-a18b-3835b304fe64) and Coriolis Ocean Dataset for Reanalysis (CORA5.2) distributed by the Copernicus Marine Service (INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b). The computation was done with the DIVAnd (Data-Interpolating Variational Analysis), version 2.4.0.
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The SDC_MED_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Mediterranean Sea: monthly and seasonal fields for periods 1955-2017, 1955-1984 and 1985-2017 and seasonal fields for 6 decades covering the time period 1955 to 2017. The climatic fields were computed from an integrated Mediterranean Sea data set that combines data extracted from SeaDataNet infrastructure (https://doi.org/10.12770/2698a37e-c78b-4f78-be0b-ec536c4cb4b3) and Coriolis Ocean Dataset for Reanalysis (CORA5.2) distributed by the Copernicus Marine Service (http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b). The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.4.0.