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Chierici, Francesco. (2019). Pressure gauge dataset (Paroscientific 8CB-4000-I @ 1 sample / 15 sec) from INAF/NEMO-SN1 seafloor platform during EMSO-MIUR project in TestSite site (East Sicily), part of network.
No full textThis sensor measures the hydrostatic (water column) pressure exerted on the sensor resulting from the pressure of water above its position and the atmospheric air pressure acting on the sea surface. Whether it is not possible to use a vented reference to equalise the offset due to atmospheric pressure, the true water level is obtained from the APG by measuring and subtracting the atmospheric pressure at the sea surface from the APG measurement
De Santis, Angelo. (2019). Vector Magnetometer dataset (Fluxgate #1 @ 1 sample / 4 sec) from INGV/NEMO-SN1 seafloor platform during EMSO-MIUR project in TestSite site (East Sicily), part of network.
No full textThis sensor provides the three components of the magnetic induction vector in the directions N-S, E-W and Z (vertical). It is a fluxgate prototype developed at INGV laboratories equipped with an inertial platform for levelling control. It provides continuous seafloor magnetic data which are important for two main reasons: a) they extend the magnetic observations from land to the seafloor, improving the spatial distribution in the Italian territory; b) these data are important for the study of short and long magnetic field time variations. The variational data allow us to estimate the resistivity structure underneath the area of observations and possibly to detect some magnetic variations related to some geo-hazards, such as earthquakes and tsunamis. The main aim is the continuous and almost real-time measurement of the three components of the Earth?s magnetic field in a very peculiar environment which in fact has a favorable impact on the quality of the measurements: first, the temperature is more stable at the sea bottom, especially in deep sea sites, so the instrumental drift due to temperature variations is absent or negligible. Second, the water column acts as a natural "shield" to the highest frequencies of the iono- and magnetosphere inducing fields
Giovanetti, Gabriele. (2013). Current meter dataset (Nobska MAVS-3 @ 5 Hz) from /SN-4 seafloor platform during MARSITE project in Marmara Sea site (Marmara Sea), part of EMSO network.
No full textHigh-frequency current meter provides punctual sea current measurements. Monitor the current flow at the SN4 installation site. The high sampling rate (5Hz) was used to monitor the hydrodynamic condition inside the station in order to better observe possible influences of seawater currents on seismological data
Embriaco, Davide. (2013). Oxygen meter dataset (AADI Optode 3830 @ 1 Hz) from INGV/SN-4 seafloor platform during MARSITE project in Marmara Sea site (Marmara Sea), part of EMSO network.
No full textThe Optode sensor measures the dissolved oxygen concentration in sea water using a lifetime-based luminescence quenching principle. The dataset includes a measured device temperature channel and the oxygen saturation values [%] computed from concentration and temperature. The sensor is used to monitor the oxygen concentration dissolved in sea water and to provide oxygen concentration values needed by the methane sensor calibration formula
Embriaco, Davide. (2013). CTD dataset (SBE 16plus @ 1 sample / 10 min) from INGV/SN-4 seafloor platform during MARSITE project in Marmara Sea site (Marmara Sea), part of EMSO network.
No full textThe dataset contains sea bottom Conductivity, Temperature and Pressure data acquired by a SBE 16 plus device installed on SN4 station. Conductivity, Temperature and Pressure are used to monitor the sea water masses variation in the canyon where the SN4 observatory was deployed. From CTD data it is possible to compute the salinity which is a parameter needed to evaluate the true dissolved oxygen concentration from raw oxygen concentration measured by the Optode Oxygen sensor
Marinaro, Giuditta. (2013). Methane meter dataset (Franatech METS @ 1 Hz) from INGV/SN-4 seafloor platform during MARSITE project in Marmara Sea site (Marmara Sea), part of EMSO network.
No full textThe Methane sensor provides two output analogue channels (Vmet, Vt) which are sampled at 1Hz by a dedicated Analog To Digital Converter of the SN4 station. From (Vmet, Vt) through a calibration formula, the dissolved methane concentration in sea water can be computed. The purpose of the methane sensor installation on the SN4 observatory is to monitor the variation of methane gas dissolved in sea water. The installation site is rich in gas seepage from seafloor, thus the variation in methane dissolved concentration can provide a mean to monitor gas emission from seabed. This sensor enable us to study methane gas emission dynamic and its correlation with other physical, oceanographical and seismic parameters in the site
Marinaro, Giuditta. (2013). Methane meter dataset (Franatech METS @ 1 Hz) from INGV/SN-4 seafloor platform during MARSITE project in Marmara Sea site (Marmara Sea), part of EMSO network.
No full textThe Methane sensor provides two output analogue channels (Vmet, Vt) which are sampled at 1Hz by a dedicated Analog To Digital Converter of the SN4 station. From (Vmet, Vt) through a calibration formula, the dissolved methane concentration in sea water can be computed.
The sensor has been used with the pump. The purpose of the methane sensor installation on the SN4 observatory is to monitor the variation of methane gas dissolved in sea water. The installation site is rich in gas seepage from seafloor, thus the variation in methane dissolved concentration can provide a mean to monitor gas emission from seabed. This sensor enable us to study methane gas emission dynamic and its correlation with other physical, oceanographical and seismic parameters in the site
Embriaco, Davide. (2013). Turbidity meter dataset (ECO-NTU(RT)D 6000m @ 1 sample / 10 min) from INGV/SN-4 seafloor platform during MARSITE project in Marmara Sea site (Marmara Sea), part of EMSO network.
No full textThe dataset provides the turbidity in the sea water measured by a backscattering meter. Monitor the change in turbidity of sea water
Monna, Stephen. (2013). Seismometer dataset (Guralp CMG-40T @ 100 Hz) from INGV/SN-4 seafloor platform during MARSITE project in Marmara Sea site (Marmara Sea), part of EMSO network.
No full textTB
Lo Bue, Nadia. (2012). ADCP dataset (RDI WorkHorse 600 KHz @ 2 profile / hour) from INGV/NEMO-SN1 seafloor platform during SMO project in Western Ionian Sea site (East Sicily), part of EMSO network.
No full textThe Acoustic Doppler Current Profiler measures the water velocity using the physical Doppler shift principle. The transducer generates a pulse of sound at a known frequency that travels through the water and is reflected in all directions by particulate matter (e.g., sediment, biological matter, bubbles). Some portion of the reflected energy travels back at the transducer where the processing electronics measure the change in frequency. The Doppler shift measured by the transducer reflects the velocity of the water along the axis of the acoustic beam. The ADCP operates using three transducers generating beams with different orientations relative to the water flow then the measured velocity by each ADCP transducer is the projection of the 3D velocity onto the axis of its acoustic beam