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
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
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
