UTM-CSIC/Marine Technology Unit
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Multibeam data acquired in 2007 during the SVAIS cruise on board the R/VHespérides with a Simrad EM12 echo-sounder
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This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers SALTFLU cruise. Multibeam data acquired in 2012 on board the R/V OGS Explora with a Reason 8150 echo-sounder
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This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers bathymetry surveys INDEMARES-2, ABIDES-2, ABIDES-3, ABIDES-ROV and ABIDES-5 . Multibeam data acquired in 2010, 2017 and 2018 on board the R/V Garcia del Cid using a Elac Seabeam 1050D echosounder and in 2017 on board the Sarmiento de Gamboa using an Atlas Hydrosweep DS-3 multi-beam echosounder.
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This Digital Terrain Model (DTM) is a high resolution bathymetry dataset that covers MEDOC survey. Multibeam data acquired in 2010 on board the R/V Sarmiento de Gamboa using an Atlas Hydrosweep DS-3 multi-beam echosounder.
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This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers bathymetry surveys INSIGHT_LEG1, FRAME-OBS, FRAME-MCS and INSIGHT_LEG2 . Multibeam data acquired in 2018 and 2019 on board the R/V Sarmiento de Gamboa using an Atlas Hydrosweep DS-3 multi-beam echosounder.
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This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers GEOMARGEN-2 surveys. Multibeam data acquired in 2013 on board the R/V Angeles Alvariño with a Kongsberg EM710 echo-sounder
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This composite Digital Terrain Model (cDTM) is a high resolution bathymetry dataset that covers CASCADES-I, CASCADES-II, COSTEM-1, COSTEM-2, COSTEM-3, COSTEM-4, FORMED-2, FORMED-4 and FORMED-6 cruises. Multibeam data acquired in 2008, 2009, 2010, 2011, 2013, 2014 and 2015 on board the R/V Sarmiento de Gamboa and the R/V García del Cid with an Atlas Hydrosweep DS-3 and an Elac Seabeam 1050D echo-sounder.
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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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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 Mediterranean Sea with 187722 CDI records (180932 Vertical profiles and 6790 Time series). Vertical profiles temporal range is from 1911-08-17 to 2020-10-16. Time series temporal range is from 1974-06-04 to 2018-02-20. Data were aggregated and quality controlled by 'Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)' from Greece. 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://dx.doi.org/10.6092/4e85717a-a2c9-454d-ba0d-30b89f742713 Explore and extract data at: https://emodnet-chemistry.webodv.awi.de/eutrophication%3EMediterranean The aggregated dataset can also be downloaded as ODV collection and spreadsheet, which is composed of metadata header followed by tab separated values. This spreadsheet 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_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.