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EMODnet Bathymetry has adopted the CDI Data Discovery & Access service as developed and operated by SeaDataNet, the pan-European network of NODCs, to bring together and provide access to available high resolution bathymetric survey data sets from many data providers, such as National Hydrographic Institutes, Research Institutes, and Survey companies. All bathymetric survey data are described with INSPIRE compliant metadata, following the CDI metadata profile, based on ISO 19115 – 19139 standards. This way, the CDI service gives users a highly detailed insight in the availability and geographical spreading of bathymetric survey data sets that are acquired and managed by an increasing group of data providers and for which users can request access for downloading. The CDI metadata are public domain and freely available for all users. However, a major part of the survey data sets is not freely available and requires negotiation with the data owners. The SeaDataNet CDI search, shopping and tracking mechanism facilitates identifying and requesting access to these background data sets from data providers. Note that all data sets are used internally with permission of the data owners for contributing to the EMODnet Digital Terrain Model (DTM) for the European sea regions. The service URL is : https://geo-service.maris.nl/emodnet_bathymetry/wfs?service=WFS&request=GetCapabilities. The layer in the Map Viewer facilitates users to view the locations of the CDI entries and to retrieve details of individual surveys by clicking on the map. From there users are linked to the actual CDI Data Discovery and Access service (https://cdi-bathymetry.seadatanet.org/search) for performing more queries and submitting requests for data access.
The EMODnet Bathymetry World Base Layer (EBWB) service is a gridded representation of worldwide bathymetric and topographic coverage adapted for a better representation of seabed morphological features. Based on modern WMTS schema, it allows a fluid and powerful rendering. For the global oceans EBWB1 is composed of the 2018 EMODnet Bathymetric grid around Europe (approx. 100m resolution) and uses the GEBCO 2019 grid (approx. 500m resolution) elsewhere in the marine environment. Land coverage is based on a combination of 30 arc second ASTER GDEM, SRTM3, EU-DEM, and Global 1 second world-wide water body map for the topographic part. This compilation of publicly available data sources have been merged and pre-tiled for rendering, at 10 levels of zoom starting from 1/24th of an arcminute (approx. 75m resolution). The EBWB1 service is available in non-projected system (Lat, Long, WGS84: EPSG 4086), Web Mercator (EPSG 3857), Inspire compliant ETRS-EALA projection (EPSG 3035) and projections adapted to both poles (ESPG 3031 and 3996) Service URL: https://tiles.emodnet-bathymetry.eu/wmts/1.0.0/WMTSCapabilities.xml
EMODnet Physics - TSM_NorthSea - Concentration of total suspended matter (conc_tsm, mg/l) is a product of the Coastcolour L2W Concentrations Data, obtained from the OC4 algorithm for clear and moderate turbid waters, and from the CoastColour v1 neural network.The L2W product was then remapped on a regular grid, maintaining the 300 m full resolution, in order to obtain L3 products over the North Sea and monthly averaged. Developed by EMODnet Physics.
Moving 10-years analysis of dissolved_oxygen_concentration at Mediterranean Sea for each season : - winter (January-March), - spring (April-June), - summer (July-September), - autumn (October-December). Every year of the time dimension corresponds to the 10-year centered average of each season. Decades span from 1971-1980 until 2006-2015. Observational data span from 1911 to 2015. Depth range (IODE standard depths):-3000.0, -2500.0, -2000.0, -1750.0, -1500.0, -1400.0, -1300.0, -1200.0, -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0, -30.0, -20.0, -10.0, -5.0, -0.0. Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. Profiles were interpolated at standard depths using weighted parabolic interpolation algorithm (Reiniger and Ross, 1968). GEBCO 1min topography is used for the contouring preparation. Analyzed filed masked using relative error threshold 0.3 and 0.5. DIVA settings: A constant value for signal-to-noise ratio was used equal to 1. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used. Logarithmic transformation applied to the data prior to the analysis. Background field: the data mean value is subtracted from the data. Detrending of data: no. Advection constraint applied: no. Originators of Italian data sets-List of contributors: o Brunetti Fabio (OGS) o Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306 o Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987 o Cataletto Bruno (OGS) o Cinzia Comici Cinzia (OGS) o Civitarese Giuseppe (OGS) o DeVittor Cinzia (OGS) o Giani Michele (OGS) o Kovacevic Vedrana (OGS) o Mosetti Renzo (OGS) o Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5 o Celio Massimo (ARPA FVG) o Malaguti Antonella (ENEA) o Fonda Umani Serena (UNITS) o Bignami Francesco (ISAC/CNR) o Boldrini Alfredo (ISMAR/CNR) o Marini Mauro (ISMAR/CNR) o Miserocchi Stefano (ISMAR/CNR) o Zaccone Renata (IAMC/CNR) o Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D., Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011. Units: umol/l
High Resolution DTM of the German Elbe Approach.
High resolution composite DTM based on single beam, multi beam and Lidar covering Norderney and waters in proximty. All data was acquired in the year 2016. Data used:SDN:CPRD:1850_DGM_Norderney_2016
Gridded product for visualization of Water body dissolved oxygen concentration in the Black Sea generated by DIVA 4.6.11 using all EMODNET Chemistry data from 1970 to 2014. Depth range (IODE standard depths): 0 – 250m. DIVA settings: signal-to-noise ratio and correlation length were estimated using data mean distance as a minimum (for L), and both parameters vertically filtered. Background field: the data mean value is subtracted from the data. Detrending of data: no. Advection constraint applied: no. Every year of the time dimension corresponds to a 10-year centred average for each season: - winter: December - February, - spring: March - May, - summer: June - August, - autumn: September – November Units: umol/l
High Resolution DTM of the German Elbe Approach.
Gridded product for visualization of Water body ammonium in the Black Sea - West Slope generated by DIVA 4.6.9 using all EMODNET Chemistry data from 1980 to 2013. Depth range (IODE standard depths): 0 – 75m. DIVA settings: signal-to-noise ratio and correlation length were estimated using data mean distance as a minimum (for L), and both parameters vertically filtered. Background field: the data mean value is subtracted from the data. Detrending of data: no. Advection constraint applied: no. Every year of the time dimension corresponds to a 10-year centred average for each season: - winter: December - February, - spring: March - May, - summer: June - August, - autumn: September – November Units: umol/l
Multibeam bathymetry collected from Asköfjärden and Fifång Deep, east of Askö Island in southern Stockholm archipelago. The data were collected with Stockholm University research vessels (RV) Electra and Skidbladner between 2012 and 2018 for multiple purposes. Some of the data were collected as a part of a course in marine geophysical mapping at Stockholm University. The processing of the raw data was carried out using the Qimera software by QPS. The data have been cleared for public release by the Swedish Maritime Administration.