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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.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_ai https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_ai.graph https://erddap.s4raise.it/erddap/files/unige-dicca_dispersion_forecast_ai/ AI-based particle dispersion model The particle dispersion model used is Gnome. To drive the dispersion simulations, a neural network is first employed to model the sea current for the next six hours, using the wind and current data from the previous six hours as input. The current signal forecasted by the neural network is then used as a forcing input for Gnome to model the particle dispersion.\n\ncdm_data_type = Point\nVARIABLES:\ntime (time since the beginning of the simulation, seconds since 1970-01-01T00:00:00Z)\nlatitude (latitude of the particle, degrees_north)\nlongitude (longitude of the particle, degrees_east)\nparticle_count (number of particles in a given timestep, 1)\nmass (mass of particle, kilograms)\nstatus_codes (particle status code)\nage (age of particle from time of release, minutes)\ndensity (emulsion density at end of timestep, kg/m^3)\nspill_num (spill to which the particle belongs)\nsurface_concentration (surface concentration of oil, g m-2)\ndepth (particle depth below sea surface, m)\nid (particle ID)\nviscosity (emulsion viscosity at end of timestep, m^2/sec)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-dicca_dispersion_forecast_ai_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-dicca_dispersion_forecast_ai_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-dicca_dispersion_forecast_ai/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/unige-dicca_dispersion_forecast_ai.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_dispersion_forecast_ai&showErrors=false&email= UNIGE-DICCA unige-dicca_dispersion_forecast_ai
https://erddap.s4raise.it/erddap/griddap/cnr-ismar_HFRADAR_TIRLIG_Totals https://erddap.s4raise.it/erddap/griddap/cnr-ismar_HFRADAR_TIRLIG_Totals.graph https://erddap.s4raise.it/erddap/wms/cnr-ismar_HFRADAR_TIRLIG_Totals/request HF RADAR TOTAL, TirLig (HFRADAR TIRLIG Totals), 2019-present High Frequency (HF) RADAR TOTAL - TirLig. National Research Council - Institute of Marine Science - S.S. Lerici; National Research Council - Institute of Marine Science; S.S. Lerici data from https://erddap.emodnet-physics.eu/erddap/griddap/HFRADAR_TIRLIG_Totals.das .\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nEWCT (West-east current component, m s-1)\nNSCT (South-north current component, m s-1)\nEWCS (Standard deviation of surface eastward sea water velocity, m s-1)\nNSCS (Standard deviation of surface northward sea water velocity, m s-1)\nCCOV (Covariance of surface sea water velocity, m2 s-2)\nGDOP (Geometrical dilution of precision, 1)\nPOSITION_QC (Position quality flag, 1)\nQCflag (Overall quality flag, 1)\nVART_QC (Variance threshold quality flag, 1)\nGDOP_QC (GDOP threshold quality flag, 1)\nDDNS_QC (Data density threshold quality flag, 1)\nCSPD_QC (Velocity threshold quality flag, 1)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_HFRADAR_TIRLIG_Totals_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_HFRADAR_TIRLIG_Totals_iso19115.xml https://erddap.s4raise.it/erddap/info/cnr-ismar_HFRADAR_TIRLIG_Totals/index.htmlTable https://www.hfrnode.eu/ (external link) https://erddap.s4raise.it/erddap/rss/cnr-ismar_HFRADAR_TIRLIG_Totals.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_HFRADAR_TIRLIG_Totals&showErrors=false&email= National Research Council - Institute of Marine Science - S.S. Lerici; National Research Council - Institute of Marine Science; S.S. Lerici cnr-ismar_HFRADAR_TIRLIG_Totals
https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m.graph https://erddap.s4raise.it/erddap/wms/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m/request https://erddap.s4raise.it/erddap/files/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m/ Horizontal Velocity (3D), Hourly Mean Horizontal Velocity (3D) - Hourly Mean. Please check in CMEMS catalogue the INFO section for product MEDSEA_ANALYSISFORECAST_PHY_006_013 - http://marine.copernicus.eu\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nuo (eastward ocean current velocity, m s-1)\nvo (northward ocean current velocity, m s-1)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m_iso19115.xml https://erddap.s4raise.it/erddap/info/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m/index.htmlTable https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc (external link) https://erddap.s4raise.it/erddap/rss/cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m&showErrors=false&email= Centro Euro-Mediterraneo sui Cambiamenti Climatici - CMCC, Italy cmems_mod_med_phy-cur_anfc_4_2km_3D_PT1H_m
https://erddap.s4raise.it/erddap/tabledap/MEDA2_CURR.subset https://erddap.s4raise.it/erddap/tabledap/MEDA2_CURR https://erddap.s4raise.it/erddap/tabledap/MEDA2_CURR.graph https://erddap.s4raise.it/erddap/files/MEDA2_CURR/ In situ current in the water column - Nortek AWAC 1Mhz ADCP positioned at a depth of 10m - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) The dataset represents data automatically collected and trasmitted in real-time by in situ ADCP instrument at 10m depth, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015).\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORMCODE\nString_ID\ntime (seconds since 1970-01-01T00:00:00Z)\ntime_cet (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDate (seconds since 1970-01-01T00:00:00Z)\nTime\nCell_number\nEWCT (West-east current component, m/s)\nNSCT (South-north current component, m/s)\nUVCT (Upward current velocity, m/s)\nSpeed (m/s)\nDirection (degrees)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/MEDA2_CURR_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/MEDA2_CURR_iso19115.xml https://erddap.s4raise.it/erddap/info/MEDA2_CURR/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/MEDA2_CURR.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=MEDA2_CURR&showErrors=false&email= UNIGE-DISTAV MEDA2_CURR
https://erddap.s4raise.it/erddap/tabledap/XBT_ENEA_DATA.subset https://erddap.s4raise.it/erddap/tabledap/XBT_ENEA_DATA https://erddap.s4raise.it/erddap/tabledap/XBT_ENEA_DATA.graph https://erddap.s4raise.it/erddap/files/XBT_ENEA_DATA/ INGVXBT - Collection of sea temperature (TEMP) Profiles - IN SITU MultiPointProfilesObservation INGVXBT - Collection of sea temperature (TEMP) Profiles - IN SITU MultiPointProfilesObservation\n\ncdm_data_type = Profile\nVARIABLES:\nPLATFORMCODE (EMODnet Platform Code)\nSOURCE\nSENSOR (Platform Sensor)\ntime (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (TIME quality flag, 1)\ndepth (m)\nDEPTH_QC (DEPTH quality flag, 1)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPOSITION_QC (POSITION quality flag, 1)\nTEMP (water temperature, degree_Celsius)\nTEMP_QC (TEMP quality flag, 1)\nTEMP_DM (TEMP method of data processing)\nurl_metadata (Metadata Link)\nqc_entity\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/XBT_ENEA_DATA_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/XBT_ENEA_DATA_iso19115.xml https://erddap.s4raise.it/erddap/info/XBT_ENEA_DATA/index.htmlTable http://www.emodnet-physics.eu (external link) https://erddap.s4raise.it/erddap/rss/XBT_ENEA_DATA.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=XBT_ENEA_DATA&showErrors=false&email= INGVXBT XBT_ENEA_DATA
https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_simple_mover https://erddap.s4raise.it/erddap/tabledap/unige-dicca_dispersion_forecast_simple_mover.graph https://erddap.s4raise.it/erddap/files/unige-dicca_dispersion_forecast_simple_mover/ Particle dispersion model The particle dispersion model used is Pygnome. The forcings used for the forecast are the persistence of the sea current velocity, in its u and v components, and the average wind speed and direction calculated over the previous six hours.  The model generates a forecast output with a six-hour time horizon. Every hour, new current and wind data are acquired, thus updating the forecast hour by hour for the next six hours.\n\ncdm_data_type = Point\nVARIABLES:\ntime (time since the beginning of the simulation, seconds since 1970-01-01T00:00:00Z)\nlatitude (latitude of the particle, degrees_north)\nlongitude (longitude of the particle, degrees_east)\nparticle_count (number of particles in a given timestep, 1)\nspill_num (spill to which the particle belongs)\nsurface_concentration (surface concentration of oil, g m-2)\ndepth (particle depth below sea surface, m)\nid (particle ID)\nage (age of particle from time of release, minutes)\nstatus_codes (particle status code)\ndensity (emulsion density at end of timestep, kg/m^3)\nviscosity (emulsion viscosity at end of timestep, m^2/sec)\nmass (mass of particle, kilograms)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/unige-dicca_dispersion_forecast_simple_mover_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/unige-dicca_dispersion_forecast_simple_mover_iso19115.xml https://erddap.s4raise.it/erddap/info/unige-dicca_dispersion_forecast_simple_mover/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/unige-dicca_dispersion_forecast_simple_mover.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_dispersion_forecast_simple_mover&showErrors=false&email= UNIGE-DICCA unige-dicca_dispersion_forecast_simple_mover
https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m.graph https://erddap.s4raise.it/erddap/wms/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m/request https://erddap.s4raise.it/erddap/files/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m/ Phytoplankton Carbon Biomass, Zooplankton Carbon Biomass, Chlorophyll and PFTs (3D), Daily Mean Phytoplankton Carbon Biomass, Zooplankton Carbon Biomass, Chlorophyll and PFTs (3D) - Daily Mean. Please check in CMEMS catalogue the INFO section for product MEDSEA_ANALYSISFORECAST_BGC_006_014 - http://marine.copernicus.eu/\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nchl (Chlorophyll, mg m-3)\ndiatoC (Diatoms Carbon Biomass, MMol' 'M-3)\ndiatoChla (Diatoms Chlorophyll concentration, mg m-3)\ndinoC (Dinoflagellates Carbon Biomass, MMol' 'M-3)\ndinoChla (Dinoflagellates Chlorophyll concentration, mg m-3)\nnanoC (Nanophytoplankton Carbon Biomass, MMol' 'M-3)\nnanoChla (Nanophytoplankton Chlorophyll concentration, mg m-3)\nphyc (Phytoplankton Carbon Biomass, MMol' 'M-3)\npicoC (Picophytoplankton Carbon Biomass, MMol' 'M-3)\npicoChla (Picophytoplankton Chlorophyll concentration, mg m-3)\nzooc (Zooplankton Carbon Biomass, MMol' 'M-3)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m_iso19115.xml https://erddap.s4raise.it/erddap/info/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m/index.htmlTable ??? https://erddap.s4raise.it/erddap/rss/cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m&showErrors=false&email= OGS, Trieste - Italy cmems_mod_med_bgc-pft_anfc_4_2km_P1D_m
https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m https://erddap.s4raise.it/erddap/griddap/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m.graph https://erddap.s4raise.it/erddap/wms/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m/request https://erddap.s4raise.it/erddap/files/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m/ Sea Temperature (3D), Hourly Mean Sea Temperature (3D) - Hourly Mean. Please check in CMEMS catalogue the INFO section for product MEDSEA_ANALYSISFORECAST_PHY_006_013 - http://marine.copernicus.eu\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nthetao (sea temperature, degree_C)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m_iso19115.xml https://erddap.s4raise.it/erddap/info/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m/index.htmlTable https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc (external link) https://erddap.s4raise.it/erddap/rss/cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m&showErrors=false&email= Centro Euro-Mediterraneo sui Cambiamenti Climatici - CMCC, Italy cmems_mod_med_phy-tem_anfc_4_2km_3D_PT1H_m
https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_openctd.subset https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_openctd https://erddap.s4raise.it/erddap/tabledap/swan_hellenic_openctd.graph Temperature and conductivity data collected during Citizen Science campaigns aboard the Swan Hellenic SH Vega using OpenCTD Dataset of Temperature and Salinity data in the water column collected by OpenCTD during Swan Hellenic expeditions. OpenCTD is a oceanographic instrument designed for budget-restricted scientists, educators, and researchers working in nearshore coastal ecosystems.\n\ncdm_data_type = Point\nVARIABLES:\nADATAA01 (seconds since 1970-01-01T00:00:00Z)\nHour\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nTEMP (Temperature)\nPSLTZZ01\nPRESPR01\nTEMPPR01\nTEMPPR02\nTEMPPR03\nCNDCZZ01\nTEMPPR01_QC\nTEMPPR02_QC\nTEMPPR03_QC\nCNDCZZ01_QC\nlatitude (degrees_north)\nlongitude (degrees_east)\nnotes\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/swan_hellenic_openctd_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/swan_hellenic_openctd_iso19115.xml https://erddap.s4raise.it/erddap/info/swan_hellenic_openctd/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/swan_hellenic_openctd.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=swan_hellenic_openctd&showErrors=false&email= ETT, Swan Hellenic swan_hellenic_openctd
https://erddap.s4raise.it/erddap/tabledap/envlogger_0443_0B00_FC09_09.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_0443_0B00_FC09_09 https://erddap.s4raise.it/erddap/tabledap/envlogger_0443_0B00_FC09_09.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (0443 0B00 FC09 09) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_0443_0B00_FC09_09_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_0443_0B00_FC09_09_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_0443_0B00_FC09_09/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/envlogger_0443_0B00_FC09_09.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_0443_0B00_FC09_09&showErrors=false&email= ETT envlogger_0443_0B00_FC09_09
https://erddap.s4raise.it/erddap/tabledap/envlogger_0457_9200_461D_0D.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_0457_9200_461D_0D https://erddap.s4raise.it/erddap/tabledap/envlogger_0457_9200_461D_0D.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (0457 9200 461D 0D) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_0457_9200_461D_0D_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_0457_9200_461D_0D_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_0457_9200_461D_0D/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/envlogger_0457_9200_461D_0D.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_0457_9200_461D_0D&showErrors=false&email= ETT envlogger_0457_9200_461D_0D
https://erddap.s4raise.it/erddap/tabledap/envlogger_0475_3A00_FF2D_05.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_0475_3A00_FF2D_05 https://erddap.s4raise.it/erddap/tabledap/envlogger_0475_3A00_FF2D_05.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (0475 3A00 FF2D 05) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_0475_3A00_FF2D_05_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_0475_3A00_FF2D_05_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_0475_3A00_FF2D_05/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/envlogger_0475_3A00_FF2D_05.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_0475_3A00_FF2D_05&showErrors=false&email= ETT envlogger_0475_3A00_FF2D_05
https://erddap.s4raise.it/erddap/tabledap/envlogger_047E_2300_6F1E_0A.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_047E_2300_6F1E_0A https://erddap.s4raise.it/erddap/tabledap/envlogger_047E_2300_6F1E_0A.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (047E 2300 6F1E 0A) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_047E_2300_6F1E_0A_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_047E_2300_6F1E_0A_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_047E_2300_6F1E_0A/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/envlogger_047E_2300_6F1E_0A.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_047E_2300_6F1E_0A&showErrors=false&email= ETT envlogger_047E_2300_6F1E_0A
https://erddap.s4raise.it/erddap/tabledap/envlogger_0484_0C00_220F_07.subset https://erddap.s4raise.it/erddap/tabledap/envlogger_0484_0C00_220F_07 https://erddap.s4raise.it/erddap/tabledap/envlogger_0484_0C00_220F_07.graph Temperature data collected during Citizen Science activities using EnvLogger sensor (0484 0C00 220F 07) EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation\n\ncdm_data_type = Point\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\ntemp (Temperature, degree_Celsius)\nserial_number\nsensor_id\nlatitude (degrees_north)\nlongitude (degrees_east)\naccuracy (GPS Position Accuracy, meter)\ndepth (Sensor depth, m)\nsampling_resolution\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/envlogger_0484_0C00_220F_07_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/envlogger_0484_0C00_220F_07_iso19115.xml https://erddap.s4raise.it/erddap/info/envlogger_0484_0C00_220F_07/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/envlogger_0484_0C00_220F_07.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=envlogger_0484_0C00_220F_07&showErrors=false&email= ETT envlogger_0484_0C00_220F_07
https://erddap.s4raise.it/erddap/tabledap/smartbay_ctd-calibrated_enea.subset https://erddap.s4raise.it/erddap/tabledap/smartbay_ctd-calibrated_enea https://erddap.s4raise.it/erddap/tabledap/smartbay_ctd-calibrated_enea.graph https://erddap.s4raise.it/erddap/files/smartbay_ctd-calibrated_enea/ The \"Smart Bay Santa Teresa Underwater Observatory\" - CDT calibrated data In July 2024 a preliminary real-time monitoring and transmission system based on wireless underwater networking (IoUT) has been implemented in the harbour of La Spezia, aiming to create an early warning system for temperature increase and to monitor oxygen and pH level. Currently the Smart Bay Santa Teresa Underwater Observatory is equipped with a system of transmission nodes (EMBRC-UP) connected to advanced probes (RAISE), distributed in 12 stations throughout the Gulf. Physical-chemical data (temperature, dissolved oxygen, pH, conductivity, current, turbidity, chlorophyll) are acquired with a frequency of 1 data per hour and transmitted in real time, validated with analytical approaches and weekly and monthly measurement campaigns conducted by ENEA. Biogeochemical are analytically measured (total alkalinity, pH) and derived (pCO2, saturation state, dissolved inorganic carbon) weekly and monthly, together with high precision data profiles (measured by means of a CTD probe).\n\ncdm_data_type = Point\nVARIABLES:\ntime (Date Time(UTC), seconds since 1970-01-01T00:00:00Z)\nDepth (m)\nPressure (db)\nTemperature (degrees_C)\nConductivity (Sea Water Electrical Conductivity, mS/cm)\nOxygen_mg_l (Oxygen, mg/l)\nChlorophyll (Concentration Of Chlorophyll In Sea Water, ug/l)\nTurbidity\npH_NBS\nSalinity (Sea Water Practical Salinity, PSU)\nDensity_Kg_m3 (Density, Kg/m^3)\nOxygen_ml_l (Oxygen, ml/l)\nOxygen_umol_l (Oxygen, umol/l)\nOxygen_percentage (Oxygen, %)\nDensity_Kg_m3_1000 (Density, Kg/m^3-1000))\nSound_Velocity (m/s)\npH_T\n... (7 more variables)\n https://erddap.s4raise.it/erddap/metadata/fgdc/xml/smartbay_ctd-calibrated_enea_fgdc.xml https://erddap.s4raise.it/erddap/metadata/iso19115/xml/smartbay_ctd-calibrated_enea_iso19115.xml https://erddap.s4raise.it/erddap/info/smartbay_ctd-calibrated_enea/index.htmlTable https://www.raiseliguria.it/spoke-3/ (external link) https://erddap.s4raise.it/erddap/rss/smartbay_ctd-calibrated_enea.rss https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=smartbay_ctd-calibrated_enea&showErrors=false&email= ENEA smartbay_ctd-calibrated_enea

 
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