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Dataset Title:  EMSO Ligure Ouest MII capteur CSTAR (NetCDF files) Subscribe RSS
Institution:  MIO UMR7294 CNRS / OSU Pytheas   (Dataset ID: Emso_Cstar_44f2_ee7d_b186)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 stationname ?      
   - +  ?
 latitude (degrees_north) ?      
   - +  ?
  < slider >
 longitude (degrees_east) ?      
   - +  ?
  < slider >
 time (UTC) ?          2017-09-26T00:00:02Z    2020-10-20T23:59:37Z
  < slider >
 refCount (1) ?          5868.0    11377.0
 signalCount (1) ?          0.0    15635.0
 CSRW (Corrected Signal Raw Count, 1) ?          0.0    15628.0
 CBIM (1) ?          -0.003    99.999
 ITC (Internal thermistor counts, 1) ?          5.0    556.0
 
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.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

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";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.506384002e+9, 1.603238377e+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";
  }
  refCount {
    Float32 actual_range 5868.0, 11377.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "ref Count";
    String units "1";
  }
  signalCount {
    Float32 actual_range 0.0, 15635.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "signal Count";
    String units "1";
  }
  CSRW {
    Float32 actual_range 0.0, 15628.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Corrected Signal Raw Count";
    String units "1";
  }
  CBIM {
    Float32 actual_range -0.003, 99.999;
    String ioos_category "Unknown";
    String long_name "Calculated Beam c inverse meters";
    String units "1";
  }
  ITC {
    Float32 actual_range 5.0, 556.0;
    String ioos_category "Unknown";
    String long_name "Internal thermistor counts";
    String units "1";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "stationname,latitude,longitude";
    String contact "dominique.lefevre@mio.osupytheas.fr";
    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";
    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";
    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 21/10/20
2020-10-21T04:42:20Z (local files)
2020-10-21T04:42:20Z http://erddap.osupytheas.fr/erddap/tabledap/Emso_Cstar_44f2_ee7d_b186.html";
    String id "DOI: 10.17882/47129";
    String infoUrl "http://www.emso-fr.org/EMSO-France";
    String institution "MIO UMR7294 CNRS / OSU Pytheas";
    String keywords "beam, biogeochemistry, calculated, capteur, CBIM, cnrs, common, conductivity, corrected, count, counts, CSRW, cstar, cstaremso, ctd, data, depth, emso, environment, environmental data, files, format, france, geosciences, identifier, internal, inverse, ITC, km3net, latitude, ligure, longitude, mediterranean sea, meteorology, meters, mii, mio, name, network, observatoire, observatory, osu, osu pytheas, ouest, oxygen  temperature, platform, platform_name, pressure, pytheas, raw, ref, refCount, sciences, sea regions, signal, signalCount, sonde, station, stationname, statistics, temperature, thermistor, time, ums, univers, variable, western basin oceanographic geographical features";
    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 v29";
    String subsetVariables "stationname, latitude, longitude";
    String summary "EMSO Network Common Data Format (NetCDF) files : station CSTAREMSO EMSO France. 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 testOutOfDate "now-1day";
    String time_coverage_end "2020-10-20T23:59:37Z";
    String time_coverage_start "2017-09-26T00:00:02Z";
    String title "EMSO Ligure Ouest MII capteur CSTAR (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
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
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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