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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| /erddap/griddap/EMODPACE_SLEV_199301_201812_TREND | /erddap/griddap/EMODPACE_SLEV_199301_201812_TREND.graph | /erddap/wms/EMODPACE_SLEV_199301_201812_TREND/request | /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 | /erddap/metadata/fgdc/xml/EMODPACE_SLEV_199301_201812_TREND_fgdc.xml | /erddap/metadata/iso19115/xml/EMODPACE_SLEV_199301_201812_TREND_iso19115.xml | /erddap/info/EMODPACE_SLEV_199301_201812_TREND/index.htmlTable | http://climate.copernicus.eu
| https://erddap.emodnet.eu/erddap/rss/EMODPACE_SLEV_199301_201812_TREND.rss | /erddap/subscriptions/add.html?datasetID=EMODPACE_SLEV_199301_201812_TREND&showErrors=false&email= | CMCC | EMODPACE_SLEV_199301_201812_TREND | ||
| /erddap/griddap/biology_8220_a8b5_8cec_1c23 | /erddap/griddap/biology_8220_a8b5_8cec_1c23.graph | /erddap/wms/biology_8220_a8b5_8cec_1c23/request | /erddap/files/biology_8220_a8b5_8cec_1c23/ | Interpolated abundance based on presence/absence of Calanus_finmarchicus and Calanus_helgolandicus | Original data prepared by P. Helaouet (Marine Biological Association)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][time][latitude][longitude]):\nabundance (Interpolated abundance, 1)\nerror (Relative error on Interpolated abundance, 1)\n | /erddap/metadata/fgdc/xml/biology_8220_a8b5_8cec_1c23_fgdc.xml | /erddap/info/biology_8220_a8b5_8cec_1c23/index.htmlTable | ??? | https://erddap.emodnet.eu/erddap/rss/biology_8220_a8b5_8cec_1c23.rss | /erddap/subscriptions/add.html?datasetID=biology_8220_a8b5_8cec_1c23&showErrors=false&email= | University of Liege and Marine Biological Association | biology_8220_a8b5_8cec_1c23 | |||
| /erddap/griddap/biology_8461_cafa_bd5b_f2a3 | /erddap/griddap/biology_8461_cafa_bd5b_f2a3.graph | /erddap/files/biology_8461_cafa_bd5b_f2a3/ | Potential biomass catches (tons/year) per surface unit (0.25º latitude x 0.25º longitude) based on 3-D probability of occurrence for the main commercial fish species of the Atlantic | Potential catch value of each cell integrates the catches along the water column (from surface until 1000 m depth). See Valle et al. (2024) in Ecological Modelling 490:110632 (https://doi.org/10.1016/j.ecolmodel.2024.110632), for more details\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [aphiaid][latitude][longitude]):\npotential_catches (Potential biomass catch, tons year-1)\n | /erddap/metadata/fgdc/xml/biology_8461_cafa_bd5b_f2a3_fgdc.xml | /erddap/metadata/iso19115/xml/biology_8461_cafa_bd5b_f2a3_iso19115.xml | /erddap/info/biology_8461_cafa_bd5b_f2a3/index.htmlTable | www.azti.es | https://erddap.emodnet.eu/erddap/rss/biology_8461_cafa_bd5b_f2a3.rss | /erddap/subscriptions/add.html?datasetID=biology_8461_cafa_bd5b_f2a3&showErrors=false&email= | BRTA | biology_8461_cafa_bd5b_f2a3 | |||
| /erddap/griddap/biology_benthos_6617_5e82_1108_e2c8 | /erddap/griddap/biology_benthos_6617_5e82_1108_e2c8.graph | /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 | /erddap/metadata/fgdc/xml/biology_benthos_6617_5e82_1108_e2c8_fgdc.xml | /erddap/metadata/iso19115/xml/biology_benthos_6617_5e82_1108_e2c8_iso19115.xml | /erddap/info/biology_benthos_6617_5e82_1108_e2c8/index.htmlTable | https://www.emodnet-biology.eu/data-catalog?module=dataset&dasid=6617
| https://erddap.emodnet.eu/erddap/rss/biology_benthos_6617_5e82_1108_e2c8.rss | /erddap/subscriptions/add.html?datasetID=biology_benthos_6617_5e82_1108_e2c8&showErrors=false&email= | Deltares | biology_benthos_6617_5e82_1108_e2c8 |