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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0002 | https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0002.graph | https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0002/ | Meda 2 Image Dataset - Portofino - Station 0002 | The dataset consits of underwater images showing fish and jellyfish activities in the marine protected area of Portofino (GE). The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a Meda buoy in front of Punta Faro, Portofino. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The device is also equipped with an onboard AI-based image analysis tool capable to recognize the fish and the jellyfish specimens in order to automatically extract abundance time series and to select images with relevant content. The GUARD-1 device is connected to a 4G modem positioned on the Meda buoy, inside a watertight case, that transmit the acquired images together with information extracted by the AI-based tool. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection or automatically by the AI-based tool.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0002_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0002_iso19115.xml | https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0002/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0002.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0002&showErrors=false&email= | CNR-ISMAR | cnr-ismar_guard1_0002 | |||
| https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0001 | https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0001.graph | https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0001/ | Mussel farm image dataset - Gulf of La Spezia - Station 0001 | The dataset consits of underwater images showing fish activity within the mussel farm in the Gulf of La Spezia. The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a surface buoy of the mussel farm in the gulf of La Spezia. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The device is also equipped with an onboard AI-based image analysis tool capable to recognize the fish specimens in order to automatically extract abundance time series and to select images with relevant content. The GUARD-1 device is connected to a 4G modem positioned on the surface buoy, inside a watertight case, that transmit the acquired images together with information extracted by the AI-based tool. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection or automatically by the AI-based tool.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0001_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0001_iso19115.xml | https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0001/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0001.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0001&showErrors=false&email= | CNR-ISMAR | cnr-ismar_guard1_0001 | |||
| https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0001_0022 | https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0001_0022.graph | https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0001_0022/ | Mussel farm image dataset - Gulf of La Spezia - Station 0001 and 0022 | The dataset consits of underwater images showing fish activity within the mussel farm in the Gulf of La Spezia. The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a surface buoy of the mussel farm in the gulf of La Spezia. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The device is also equipped with an onboard AI-based image analysis tool capable to recognize the fish specimens in order to automatically extract abundance time series and to select images with relevant content. The GUARD-1 device is connected to a 4G modem positioned on the surface buoy, inside a watertight case, that transmit the acquired images together with information extracted by the AI-based tool. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection or automatically by the AI-based tool.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0001_0022_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0001_0022_iso19115.xml | https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0001_0022/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0001_0022.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0001_0022&showErrors=false&email= | CNR-ISMAR | cnr-ismar_guard1_0001_0022 | |||
| https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0022 | https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0022.graph | https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0022/ | Mussel farm image dataset - Gulf of La Spezia - Station 0022 | The dataset consits of underwater images showing fish activity within the mussel farm in the Gulf of La Spezia. The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a surface buoy of the mussel farm in the gulf of La Spezia. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The device is also equipped with an onboard AI-based image analysis tool capable to recognize the fish specimens in order to automatically extract abundance time series and to select images with relevant content. The GUARD-1 device is connected to a 4G modem positioned on the surface buoy, inside a watertight case, that transmit the acquired images together with information extracted by the AI-based tool. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection or automatically by the AI-based tool.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0022_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0022_iso19115.xml | https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0022/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0022.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0022&showErrors=false&email= | CNR-ISMAR | cnr-ismar_guard1_0022 | |||
| https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0102 | https://erddap.s4raise.it/erddap/tabledap/cnr-ismar_guard1_0102.graph | https://erddap.s4raise.it/erddap/files/cnr-ismar_guard1_0102/ | Mussel farm image dataset - Gulf of La Spezia - Station 0102 | The dataset consits of underwater images showing fish activity within the mussel farm in the Gulf of La Spezia. The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a fixed boat used as a field laboratory by the mussel farm operators, in the gulf of La Spezia. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The GUARD-1 device is connected to a 4G modem positioned on the fixed boat that transmit the acquired images. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nname\nlatitude (degrees_north)\nlongitude (degrees_east)\nurl\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/cnr-ismar_guard1_0102_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/cnr-ismar_guard1_0102_iso19115.xml | https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0102/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/cnr-ismar_guard1_0102.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=cnr-ismar_guard1_0102&showErrors=false&email= | CNR-ISMAR | cnr-ismar_guard1_0102 | |||
| https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_mare | https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_mare.graph | https://erddap.s4raise.it/erddap/files/omirl_stazioni_mare/ | Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria), Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria, Stazioni a mare | Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria) - Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria - Stazioni a mare\n\ncdm_data_type = Point\nVARIABLES:\nname\nshortCode (Short Code)\ntime (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVHZA (Average zero crossing wave height (Hzm), m)\nAIR_TEMP (Air temperature, degree_C)\nWSPD (Horizontal wind speed, m/s)\nGSPD (Gust wind speed, m/s)\nWDIR (Wind from direction relative true north, degrees)\nWSPD_2d (Horizontal wind speed, m/s)\nGSPD_2d (Gust wind speed, m/s)\nWDIR_2d (Wind from direction relative true north, degrees)\nATMP (Atmospheric pressure at sea level, hPa)\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/omirl_stazioni_mare_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/omirl_stazioni_mare_iso19115.xml | https://erddap.s4raise.it/erddap/info/omirl_stazioni_mare/index.htmlTable | https://omirl.regione.liguria.it/
| https://erddap.s4raise.it/erddap/rss/omirl_stazioni_mare.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=omirl_stazioni_mare&showErrors=false&email= | OMIRL | omirl_stazioni_mare | |||
| https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_terra | https://erddap.s4raise.it/erddap/tabledap/omirl_stazioni_terra.graph | https://erddap.s4raise.it/erddap/files/omirl_stazioni_terra/ | Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria), Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria, Stazioni a terra | Stazioni OMIRL (Osservatorio Meteo Idrologico della Regione Liguria) - Osservazioni georiferite di parametri meteo-marini ed idrologici in tempo reale sulla Liguria - Stazioni a terra\n\ncdm_data_type = Point\nVARIABLES:\nname\nshortCode (Short Code)\ntime (Valid Time GMT, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nRAIN_1h\nCUMUL_1h\nRAIN_5m\nCUMUL_5m\nRAIN_7d\nCUMUL_7d\nRAIN_1d\nCUMUL_1d\nAIR_TEMP (air_temperature, degree_C)\nTMIN (air_temperature, degree_C)\nTMAX (air_temperature, degree_C)\nRLEV (Water surface height above a specific datum, m)\nATMP (air_pressure)\nTENS (Battery voltage, V)\nmunicipality\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/omirl_stazioni_terra_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/omirl_stazioni_terra_iso19115.xml | https://erddap.s4raise.it/erddap/info/omirl_stazioni_terra/index.htmlTable | https://omirl.regione.liguria.it/
| https://erddap.s4raise.it/erddap/rss/omirl_stazioni_terra.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=omirl_stazioni_terra&showErrors=false&email= | OMIRL | omirl_stazioni_terra | |||
| 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/
| 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 | ||
| https://erddap.s4raise.it/erddap/tabledap/smartbay_current_enea.subset | https://erddap.s4raise.it/erddap/tabledap/smartbay_current_enea | https://erddap.s4raise.it/erddap/tabledap/smartbay_current_enea.graph | https://erddap.s4raise.it/erddap/files/smartbay_current_enea/ | The \"Smart Bay Santa Teresa Underwater Observatory\" - Current 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)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTemperature (Temperature(degrees C), degrees C)\nDirection (degrees)\nVelocity (m/s)\nHeading (degrees)\nNorth_Velocity_m_s (North Velocity, m/s)\nEast_Velocity_m_s (East Velocity, m/s)\nEcho_Amplitude_dB (d B)\nEcho_Amplitude_mW (Echo Amplitude, mW)\nStation\nName\nProfondita\nBottom_depth\nDeclinazione_Magnetica\nProbe_S_N\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/smartbay_current_enea_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/smartbay_current_enea_iso19115.xml | https://erddap.s4raise.it/erddap/info/smartbay_current_enea/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/smartbay_current_enea.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=smartbay_current_enea&showErrors=false&email= | ENEA | smartbay_current_enea | ||
| https://erddap.s4raise.it/erddap/tabledap/smartbay_co2_enea.subset | https://erddap.s4raise.it/erddap/tabledap/smartbay_co2_enea | https://erddap.s4raise.it/erddap/tabledap/smartbay_co2_enea.graph | https://erddap.s4raise.it/erddap/files/smartbay_co2_enea/ | The \"Smart Bay Santa Teresa Underwater Observatory\"- Carbon dioxide 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)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCO2 (ppm)\nInternal_Temperature_IRGA (degrees_C)\nRelative_Humidity\nInternal_Temperature_Sensore_Humidity (degrees_C)\nCell_Pressure (h Pa)\nBattery_Voltage (V)\npCO2_mbar (pCO2, mbar)\npCO2_Pa (pCO2, Pa)\npCO2_uatm (pCO2, uatm)\nStation\nName\nProfondita\nBottom_depth\nProbe_S_N\n | https://erddap.s4raise.it/erddap/metadata/fgdc/xml/smartbay_co2_enea_fgdc.xml | https://erddap.s4raise.it/erddap/metadata/iso19115/xml/smartbay_co2_enea_iso19115.xml | https://erddap.s4raise.it/erddap/info/smartbay_co2_enea/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/smartbay_co2_enea.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=smartbay_co2_enea&showErrors=false&email= | ENEA | smartbay_co2_enea |