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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/EMODPACE_SLEV_199301_201812_TREND https://erddap.emodnet.eu/erddap/griddap/EMODPACE_SLEV_199301_201812_TREND.graph https://erddap.emodnet.eu/erddap/wms/EMODPACE_SLEV_199301_201812_TREND/request https://erddap.emodnet.eu/erddap/files/EMODPACE_SLEV_199301_201812_TREND/ EMODPACE - Regional sea level trends are derived from the DUACS delayed-time (DT-2018 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation EMODPACE - Regional sea level trends are derived from the DUACS delayed-time (DT-2018 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation. SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsla (Sea level anomaly, mm/yr)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/EMODPACE_SLEV_199301_201812_TREND_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/EMODPACE_SLEV_199301_201812_TREND_iso19115.xml https://erddap.emodnet.eu/erddap/info/EMODPACE_SLEV_199301_201812_TREND/index.htmlTable http://climate.copernicus.eu (external link) https://erddap.emodnet.eu/erddap/rss/EMODPACE_SLEV_199301_201812_TREND.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=EMODPACE_SLEV_199301_201812_TREND&showErrors=false&email= CMCC EMODPACE_SLEV_199301_201812_TREND
https://erddap.emodnet.eu/erddap/griddap/biology_8209_b262_6965_fbc0 https://erddap.emodnet.eu/erddap/griddap/biology_8209_b262_6965_fbc0.graph https://erddap.emodnet.eu/erddap/files/biology_8209_b262_6965_fbc0/ Habitat Suitability Maps for Asparagopsis armata, Caulerpa Taxifolia, Sargassum muticum and Undaria pinnatifida This maps represent the potential distribution of 4 macroalgae species in Europe modelled with MAXENT. Model configurations have been \n  optimized using the R tool kuenm\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][time][latitude][longitude]):\nhabitat_suitability\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/biology_8209_b262_6965_fbc0_fgdc.xml https://erddap.emodnet.eu/erddap/info/biology_8209_b262_6965_fbc0/index.htmlTable ??? https://erddap.emodnet.eu/erddap/rss/biology_8209_b262_6965_fbc0.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=biology_8209_b262_6965_fbc0&showErrors=false&email= IHCantabria - Instituto de Hidr�ulica Ambiental de la Universidad de Cantabria biology_8209_b262_6965_fbc0
https://erddap.emodnet.eu/erddap/griddap/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c https://erddap.emodnet.eu/erddap/griddap/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c.graph https://erddap.emodnet.eu/erddap/files/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c/ Presence/Absence maps of phytoplankton in the Greater Baltic Sea The project aims to produce comprehensive data product of the occurence and absence of (phyto)plankton species. As a basis, data from EMODnet Biology are used. The selection of relevant datasets is optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemenented with absence data assuming fixed species lists within each dataset and year. The products are presented as maps of the distribution of the 20 most common species of (phyto)plankton in the Greater Baltic Sea.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\nprobability_occurrence (Probability of occurrence of biological entity)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c_fgdc.xml https://erddap.emodnet.eu/erddap/info/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c/index.htmlTable https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6618 (external link) https://erddap.emodnet.eu/erddap/rss/biology_phyto_6618_BalticSea_8b1e_5c90_9a2c.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=biology_phyto_6618_BalticSea_8b1e_5c90_9a2c&showErrors=false&email= SMHI biology_phyto_6618_BalticSea_8b1e_5c90_9a2c
https://erddap.emodnet.eu/erddap/tabledap/biology_6587_phyto_north_sea_4bd1_a08c_0019 https://erddap.emodnet.eu/erddap/tabledap/biology_6587_phyto_north_sea_4bd1_a08c_0019.graph https://erddap.emodnet.eu/erddap/files/biology_6587_phyto_north_sea_4bd1_a08c_0019/ Presence/Absence maps of phytoplankton in the Greater North Sea The project aims to produce comprehensive data product of the occurence and absence of (phyto)plankton species. As a basis, data from EMODnet Biology are used. The selection of relevant datasets is optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemenented with absence data assuming fixed species lists within each dataset and year. The products are presented as maps of the distribution of the 100 most common species of (phyto)plankton in the Greater North Sea. This product then is also used for interpolated maps, using the DIVA software.\n\ncdm_data_type = Other\nVARIABLES:\naphiaid (Life Science Identifier - World Register of Marine Species, level)\nseason (Season Level, level)\nlatitude (degrees_north)\nlongitude (degrees_east)\nprobability_occurrence (Probability of occurrence of biological entity)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/biology_6587_phyto_north_sea_4bd1_a08c_0019_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/biology_6587_phyto_north_sea_4bd1_a08c_0019_iso19115.xml https://erddap.emodnet.eu/erddap/info/biology_6587_phyto_north_sea_4bd1_a08c_0019/index.htmlTable https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6587 (external link) https://erddap.emodnet.eu/erddap/rss/biology_6587_phyto_north_sea_4bd1_a08c_0019.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=biology_6587_phyto_north_sea_4bd1_a08c_0019&showErrors=false&email= DELTARES biology_6587_phyto_north_sea_4bd1_a08c_0019
https://erddap.emodnet.eu/erddap/griddap/biology_6587_phyto_NorthSea_4bd1_a08c_0019 https://erddap.emodnet.eu/erddap/griddap/biology_6587_phyto_NorthSea_4bd1_a08c_0019.graph https://erddap.emodnet.eu/erddap/files/biology_6587_phyto_NorthSea_4bd1_a08c_0019/ Presence/Absence maps of phytoplankton in the Greater North Sea The project aims to produce comprehensive data product of the occurence and absence of (phyto)plankton species. As a basis, data from EMODnet Biology are used. The selection of relevant datasets is optimized in order to find all planktonic species, and exclude all species that are not planktonic. The occurences from EMODnet Biology were complemenented with absence data assuming fixed species lists within each dataset and year. The products are presented as maps of the distribution of the 100 most common species of (phyto)plankton in the Greater North Sea. This product then is also used for interpolated maps, using the DIVA software.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][season][latitude][longitude]):\nprobability_occurrence (Probability of occurrence of biological entity)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/biology_6587_phyto_NorthSea_4bd1_a08c_0019_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/biology_6587_phyto_NorthSea_4bd1_a08c_0019_iso19115.xml https://erddap.emodnet.eu/erddap/info/biology_6587_phyto_NorthSea_4bd1_a08c_0019/index.htmlTable https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6587 (external link) https://erddap.emodnet.eu/erddap/rss/biology_6587_phyto_NorthSea_4bd1_a08c_0019.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=biology_6587_phyto_NorthSea_4bd1_a08c_0019&showErrors=false&email= DELTARES biology_6587_phyto_NorthSea_4bd1_a08c_0019
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/biology_benthos_6617_5e82_1108_e2c8 https://erddap.emodnet.eu/erddap/griddap/biology_benthos_6617_5e82_1108_e2c8.graph https://erddap.emodnet.eu/erddap/files/biology_benthos_6617_5e82_1108_e2c8/ Summary presence/absence maps of macro-endobenthos in the greater North Sea, based on nearly 100,000 samples from 65 assembled monitoring data sets The large databases of EMODNET Biology only store confirmed presences of species. However, when mapping species distribution, it is also important where the species did not occur: there is at least as much information in absences as in presences. Inferring absences from presence-only databases is difficult and always involves some guesswork. In this product we have used as much meta-information as possible to guide us in inferring absences.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\nprobability_occurrence (Probability of occurrence of biological entity)\n https://erddap.emodnet.eu/erddap/metadata/fgdc/xml/biology_benthos_6617_5e82_1108_e2c8_fgdc.xml https://erddap.emodnet.eu/erddap/metadata/iso19115/xml/biology_benthos_6617_5e82_1108_e2c8_iso19115.xml https://erddap.emodnet.eu/erddap/info/biology_benthos_6617_5e82_1108_e2c8/index.htmlTable https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6617 (external link) https://erddap.emodnet.eu/erddap/rss/biology_benthos_6617_5e82_1108_e2c8.rss https://erddap.emodnet.eu/erddap/subscriptions/add.html?datasetID=biology_benthos_6617_5e82_1108_e2c8&showErrors=false&email= Deltares biology_benthos_6617_5e82_1108_e2c8

 
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