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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/unige-dicca_waves_animation.subset | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_waves_animation | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_waves_animation.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_waves_animation/ | 2 days 1.1 km resolution forecast over Liguria - Animation of waves | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours. Data cover Central and Eastern Liguria - Animation of waves\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_waves_animation/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_waves_animation.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_waves_animation&showErrors=false&email= | UNIGE-DICCA | unige-dicca_waves_animation | ||||
| https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_1_1km.subset | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_1_1km | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_1_1km.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_wind_animation_1_1km/ | 2 days 1.1 km resolution forecast over Liguria - Animation of wind | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 1.1 km. Data cover Central and Eastern Liguria - Animation of wind\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_wind_animation_1_1km/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_wind_animation_1_1km.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_wind_animation_1_1km&showErrors=false&email= | UNIGE-DICCA | unige-dicca_wind_animation_1_1km | ||||
| https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_3_3km.subset | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_3_3km | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_3_3km.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_wind_animation_3_3km/ | 2 days 3.3 km resolution forecast over Northern and Central Italy - Animation of wind | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 3.3 km. Data cover Northern and Central Italy - Animation of wind\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_wind_animation_3_3km/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_wind_animation_3_3km.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_wind_animation_3_3km&showErrors=false&email= | UNIGE-DICCA | unige-dicca_wind_animation_3_3km | ||||
| https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_10km.subset | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_10km | https://erddap.s4raise.it/erddap/tabledap/unige-dicca_wind_animation_10km.graph | https://erddap.s4raise.it/erddap/files/unige-dicca_wind_animation_10km/ | 5 days 10 km resolution forecast over Southern Europe and Mediterranean basin - Animation of wind | Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 5 day and a spatial resolution of 10 km. Data cover Southern Europe and Mediterranean basin - Animation of wind\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/unige-dicca_wind_animation_10km/index.htmlTable | https://www.raiseliguria.it/spoke-3/
| https://erddap.s4raise.it/erddap/rss/unige-dicca_wind_animation_10km.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=unige-dicca_wind_animation_10km&showErrors=false&email= | UNIGE-DICCA | unige-dicca_wind_animation_10km | ||||
| https://erddap.s4raise.it/erddap/tabledap/noaa_wind_animation_10km.subset | https://erddap.s4raise.it/erddap/tabledap/noaa_wind_animation_10km | https://erddap.s4raise.it/erddap/tabledap/noaa_wind_animation_10km.graph | https://erddap.s4raise.it/erddap/files/noaa_wind_animation_10km/ | Global Forecast System (GFS) model - Animation of wind | Global Forecast System (GFS) model - Animation of wind\n\ncdm_data_type = Grid\nVARIABLES:\nurl\ntime (seconds since 1970-01-01T00:00:00Z)\nname (File Name)\nlastModified (Last Modified, seconds since 1970-01-01T00:00:00Z)\nsize (bytes)\nfileType (File Type)\n | https://erddap.s4raise.it/erddap/info/noaa_wind_animation_10km/index.htmlTable | ??? | https://erddap.s4raise.it/erddap/rss/noaa_wind_animation_10km.rss | https://erddap.s4raise.it/erddap/subscriptions/add.html?datasetID=noaa_wind_animation_10km&showErrors=false&email= | NOAA | noaa_wind_animation_10km | ||||
| 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 |