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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_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 |