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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.emodnet.eu/erddap/griddap/biology_6640_benthos_NorthSea_e4af_0f0e_6a73 https://erddap.emodnet.eu/erddap/griddap/biology_6640_benthos_NorthSea_e4af_0f0e_6a73.graph https://erddap.emodnet.eu/erddap/wms/biology_6640_benthos_NorthSea_e4af_0f0e_6a73/request https://erddap.emodnet.eu/erddap/files/biology_6640_benthos_NorthSea_e4af_0f0e_6a73/ Probability maps for different benthos species in the North Sea Probability of occurrence of different macroinvertebrate benthic species in the North Sea. This product was created using DIVAnd, an interpolation method that takes into account several environmental variables and physical coastlines.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\nprobability (Probability of occurrence of biological entity)\nprobability_error (Error on Probability of occurrence of biological entity)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/biology_6640_benthos_NorthSea_e4af_0f0e_6a73_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/biology_6640_benthos_NorthSea_e4af_0f0e_6a73_iso19115.xml https://erddap.emodnet.eu/erddap/info/biology_6640_benthos_NorthSea_e4af_0f0e_6a73/index.htmlTable https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6640 (external link) https://erddap.emodnet.eu/erddap/rss/biology_6640_benthos_NorthSea_e4af_0f0e_6a73.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=biology_6640_benthos_NorthSea_e4af_0f0e_6a73&showErrors=false&email= GHER - University of Liege, Deltares, VLIZ biology_6640_benthos_NorthSea_e4af_0f0e_6a73
https://erddap.emodnet.eu/erddap/griddap/DIVA_phyto_35de_13b6_061a https://erddap.emodnet.eu/erddap/griddap/DIVA_phyto_35de_13b6_061a.graph https://erddap.emodnet.eu/erddap/files/DIVA_phyto_35de_13b6_061a/ Probability maps for different phytoplankton species in the North Sea This data product is a series of probability of occurrence maps for 200 phytoplankton species from 1995 to 2015 in the Greater North Sea, based on a neural network analysis. The input data files have been produced by Deltares (Luuk van der Heijden, Willem Stolte). They used EMODnet-Biology data as a basis. The selection of relevant datasets was optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemented with absence data assuming fixed species lists within each dataset and year. In addition to the occurrence data, the environmental variables bathymetry, silicate, phosphate and nitrate concentrations were used. Additionally the position (latitude and longitude) and the year are provided to the neural network. DIVAnd (n-dimensional Data-Interpolating Variational Analysis) and the neural network library Knet were used in this analysis.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][time][latitude][longitude]):\nprobability (Probability of occurrence of biological entity)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/DIVA_phyto_35de_13b6_061a_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/DIVA_phyto_35de_13b6_061a_iso19115.xml https://erddap.emodnet.eu/erddap/info/DIVA_phyto_35de_13b6_061a/index.htmlTable https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6588 (external link) https://erddap.emodnet.eu/erddap/rss/DIVA_phyto_35de_13b6_061a.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=DIVA_phyto_35de_13b6_061a&showErrors=false&email= GHER - University of Liege, Deltares, VLIZ DIVA_phyto_35de_13b6_061a

 
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