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Dataset Title:  EMSO Ligure Ouest MII capteur OXYGEN (NetCDF files) Subscribe RSS
Institution:  OSU Pytheas UMS 3470 CNRS   (Dataset ID: EMSO_Ligure_Ouest_MII_Oxygen_NetCDF)
Range: longitude = 6.029 to 6.029°E, latitude = 42.805 to 42.805°N, depth = 2436.0 to 2436.0m, time = 2017-09-29T12:44:01Z to 2019-07-29T01:29:03Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form
Graph Type:  ?
X Axis: 
Y Axis: 
Constraints ? Optional
Constraint #1 ?
Constraint #2 ?
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
Graph Settings
Marker Type:   Size: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Time range:    |<   -       
[The graph you specified. Please be patient.]


Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  stationname {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "station name";
    String standard_name "platform_name";
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 42.805, 42.805;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 6.029, 6.029;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 2436.0, 2436.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Vertical distance below the surface";
    String positive "down";
    String standard_name "depth";
    String units "m";
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.506689041e+9, 1.564363743e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  Oxygene {
    Float32 actual_range 185.353, 201.942;
    String ioos_category "Dissolved O2";
    String long_name "Moles Of Oxygen Per Unit Mass In Sea Water";
    String standard_name "moles_of_oxygen_per_unit_mass_in_sea_water";
    String units "ml l-1";
  oxygeneSat {
    Float32 actual_range 56.696, 61.753;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved O2";
    String long_name "Fractional Saturation Of Oxygen In Sea Water";
    String standard_name "fractional_saturation_of_oxygen_in_sea_water";
    String units "percent";
  seaTemp {
    Float32 actual_range 13.285, 13.314;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Water Temperature";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  optodeType {
    Int32 actual_range 4330, 4330;
    String ioos_category "Unknown";
    String long_name "Optode Type";
    String units "1";
  optodeSerial {
    Int32 actual_range 1995, 1995;
    String ioos_category "Unknown";
    String long_name "Optode Serial";
    String units "1";
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "stationname,latitude,longitude";
    String contact "EMSO Project Office, M.I.O. Institut Mediterraneen d'Oceanologie UMR 7294";
    String contributor_email "didier.mallarino@osupytheas.fr";
    String contributor_institution "OSU Pytheas UMS 3470 CNRS";
    String contributor_name "OSU Pytheas UMS 3470 CNRS";
    String contributor_role "data formatting in netCDF";
    String contributor_type "institution,";
    String contributor_url "http://www.osupytheas.fr";
    String Conventions "CF-1.6, ACDD-1.3, COARDS, NCCSV-1.1";
    String creator_email "didier.mallarino@osupytheas.fr";
    String creator_institution "MIO UMR7294 CNRS / OSU Pytheas";
    String creator_name "OSU Pytheas UMS 3470 CNRS";
    String creator_type "institution";
    String creator_url "http://www.mio.osupytheas.fr";
    String description "EMSO NetCDF files for station EMSO_MII";
    Float64 Easternmost_Easting 6.029;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 42.805;
    Float64 geospatial_lat_min 42.805;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6.029;
    Float64 geospatial_lon_min 6.029;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2436.0;
    Float64 geospatial_vertical_min 2436.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"The infrastructure is dedicated to long term in situ observation. Based on instrumentation of the water column, this infrastructure aims at obtaining continuous in situ and near real-time measurements. This infrastructureMII (Interface Instrumented Module) is a cabled infrastructure and ALBATROSS (Autonomous Line with a Broad Acoustic Transmission for Research in Oceanography and Sea Sciences) is a standalone deep sea mooring dedicated to the long term monitoring of hydrological and biogeochemical properties. The data are transmitted in real time to the shore using the inductive cable along the mooring line and an acoustic link with the MII. This infrastructure has been developed by the DT INSU, to take into account surface ocean circulation (i.e. North Mediterranean Current, water mass dynamics including deep water formation, surface-to-bottom material fluxes and associated biogeochemical processes. Real Time data taking is operational since May 2019 for MII and August 2019 for ALBATROSS.  MII EQUIPMENTS : 1 Microcat SBE 37, 1 Aquadopp Nortek 2 MHz, 1 transmissiometer, Wetlab, 1 pressure sensor Aanderaa(HS), 1 oxygen optode Aanderaa (HS), 1 acoustic modem (Evologic). MII MEASURED PARAMETERS : (2436 m) : temperature/salinity/oxygen - current ALBATROSS EQUIPMENTS  6 Microcat SBE 37 ODO, 2  Microcat SBE 37, 6 Aquadopp 2Mhz Nortek, 1 acoustic modem Evologic, 2 inductive modem Seabird, 1 data acquisition unit. Target depths in meters 500, 750,1000,1250, 1500, 2000,2200, 2400.  DOI: 10.17882/47129 https://www.seanoe.org/data/00360/47129/ Created 17/04/20
2021-01-26T22:01:06Z (local files)
2021-01-26T22:01:06Z https://erddap.emodnet-physics.eu/tabledap/EMSO_Ligure_Ouest_MII_Oxygen_NetCDF.das";
    String id "DOI: 10.17882/47129";
    String infoUrl "http://www.emso-fr.org/EMSO-France";
    String institution "OSU Pytheas UMS 3470 CNRS";
    String keywords "below, biogeochemistry, chemistry, climate change, cnrs, conductivity, ctd, data, depth, dissolved, dissolved o2, distance, earth, Earth Science > Oceans > Ocean Chemistry > Oxygen, Earth Science > Oceans > Ocean Temperature > Water Temperature, emso, emso-eric, environmental data, files, fractional, fractional_saturation_of_oxygen_in_sea_water, france, geosciences, identifier, km3net, latitude, longitude, mass, mediterranean sea, mii, mio, moles, moles_of_oxygen_per_unit_mass_in_sea_water, name, O2, observatory, ocean, oceans, optode, optodeSerial, optodeType, oregon, osu, osu pytheas, oxygen, oxygen  temperature, Oxygene, oxygeneSat, per, platform, platform_name, pressure, pytheas, real, real time, real-time, realtime, salinity, saturation, science, sea, sea current, sea regions, sea_water_temperature, seaTemp, seawater, serial, sonde, state, station, stationname, surface, temperature, time, type, ums, unit, university, vertical, water, western basin oceanographic";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "The data may be used and redistributed for free but is not intended for legal use. These are raw and uncorrected data and  may contain inaccuracies. Neither the data Contributor, MIO, OSU Pytheas, CNRS, nor the French Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.";
    String naming_authority "https://www.seanoe.org/data/00360/47129/";
    Float64 Northernmost_Northing 42.805;
    String production "OSU Pytheas UMS3470 CNRS";
    String program "EMSO France, http://www.emso-fr.org/EMSO-France";
    String project "EMSO France";
    String publisher_email "didier.mallarino@osupytheas.fr";
    String publisher_institution "OSU Pytheas UMS 3470 CNRS";
    String publisher_name "OSU Pytheas UMS 3470 CNRS";
    String publisher_type "institution";
    String publisher_url "http://www.osupytheas.fr";
    String references "https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/658d6730-6d00-463d-86ba-fad78301cc9f";
    String rfa "If you use these data in publications or presentation, please acknowledge the EMSO Project Office of MIO/OSU Pytheas. Also, we would appreciate receiving a preprint and/or reprint of publications using the data for inclusion in our bibliography. Relevant publications should be sent to: Dominique Lefevre EMSO Project  MIO UMR 7294 CNRS, Campus de Luminy 13288 Marseille cedex9";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 42.805;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "stationname, latitude, longitude, depth, optodeType, optodeSerial";
    String summary "The European Multidisciplinary Seafloor and water column Observatory (EMSO) is a research infrastructure distributed throughout Europe for seabed and water column observatories.  It aims to further explore the oceans, better understand the phenomena that occur on the seabed, and elucidate the critical role that these phenomena play in global Earth systems.  This observatory is based on observation sites (or nodes) that have been deployed in strategic locations in European seas, from the Arctic to the Atlantic, from the Mediterranean to the Black Sea.  There are currently eleven deep water nodes plus four shallow water test nodes.  EMSO Ligure West is one of these permanent underwater observatories located in the Ligurian Sea and is deployed off Toulon, France. This region was chosen for its particular scientific interests such as: seismicity, topography, turbidity, biodiversity, water mass dynamics and organic matter flow.  This underwater observation network is also part of KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an instrumented interface module (MII) and an autonomous instrumented line (ALBATROSS). The ALBATROSS line is an inductive line (2000 m) composed of an acoustic communication system, two inductive cables equipped with Conductivity, Temperature, Depth (CTD)-O2 sensors, current meters and two instrumented buoys. This line is deployed at a distance of 2-3 kilometers from the MII, and communication on land is done by an acoustic link with the MII, and electro-optical cable via the KM3NeT node.";
    String time_coverage_end "2019-07-29T01:29:03Z";
    String time_coverage_start "2017-09-29T12:44:01Z";
    String title "EMSO Ligure Ouest MII capteur OXYGEN (NetCDF files)";
    Float64 Westernmost_Easting 6.029;


Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
For example,
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

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