http://www.moist.itMultidisciplinary Oceanic Information SysTem (MOIST)2026-04-20T13:30:27+00:00INGV Integrated Systems for Marine Environmental Infrastructures (SIIAM)paolo.favali@ingv.itMOIST Dataset feedhttp://www.moist.it/images/MOIST.icohttp://www.moist.it/images/IEEG.jpgCreative Commons Attribution 4.0 International License (CC BY 4.0)MOIST has been the contribution of INGV to the data dissemination within the ESONET NoE EC project (2007-2011) and is the web interface for the management of the seafloor marine multidiscinary data and metadata related to GEOSTAR-type observatories used in the ESONET Demonstration Mission. MOIST also include the seafloor data acquired by the observatories by INGV from 1998. MOIST allows the access through the following selection criteria: site; time interval; instrument / sensor / parameter; project / campaign. The web interface allows the submissions of queries for data download. MOIST intends to host all the data and metadata coming from EMSO ESFRI and hopefully all collaborating projects. Current areas with data: East Sicily, East Sicily, Greek, Gulf of Cadiz, Marmara Sea, Marsili Basin, Weddell Sea.10999999http://www.moist.it/sites/marmara_sea/8/MARSITE1/ctd/49CTD 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.2013-10-17T17:00:00+00:00Davide Embriacodavide.embriaco@ingv.ithttp://www.moist.it/personnel/davide_embriaco/3
<p><img src='http://maps.google.com/maps/api/staticmap?center=40.729036,29.387172&zoom=5&size=180x180&maptype=satellite&sensor=false&markers=color:0x61E34A|label:X|40.729036,29.387172&markers=size:tiny
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<p><b>Area:</b> Marmara Sea</p>
<p><b>Instrument:</b> SeaBird SBE 16plus</p>
<p><b>Period:</b> September 28, 2013 - April 22, 2014</p>
<p><b>Abstract:</b> The dataset contains sea bottom Conductivity, Temperature and Pressure data acquired by a SBE 16 plus device installed on SN4 station.</p>
<p><b>Purpose:</b> 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.</p>
<p><b>Quality of data:</b> </p>
Istituto Nazionale di Geofisica e Vulcanologia2013-09-28T11:00:00+00:0040.729036 29.3871722013-09-28T11:00:00+00:002014-04-22T10:00:00+00:00