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Dataset Title:  EMSO Ligure Ouest MII capteur AQUADOPP (NetCDF files) Subscribe RSS
Institution:  MIO UMR7294 CNRS / OSU Pytheas   (Dataset ID: Emso_Aquadopp_a898_a87a_af16)
Range: longitude = 6.029 to 6.029°E, latitude = 42.805 to 42.805°N, depth = 2436.0 to 2436.0m, time = 2019-05-23T19:11:01Z to 2020-10-24T00:22:24Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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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 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 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 ioos_category "Location";
    String long_name "profondeur du capteur aquadopp";
    String positive "down";
    String source_name "sensor_depth";
    String standard_name "depth";
    String units "m";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.558638661e+9, 1.603498944e+9;
    String axis "T";
    String calendar "standard";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "measurement time";
    String origin "01-JAN-1970 00:00:00";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  X_East_mean {
    Float32 actual_range -0.14, 0.146;
    String ioos_category "Statistics";
    String long_name "X_East_mean";
    String units "m.s-1";
  }
  X_East_std {
    Float32 actual_range 0.011, 0.25;
    String ioos_category "Location";
    String long_name "X_East_std";
    String units "m.s-1";
  }
  Y_North_mean {
    Float32 actual_range -0.128, 0.09;
    String ioos_category "Statistics";
    String long_name "Y_North_mean";
    String units "m.s-1";
  }
  Y_North_std {
    Float32 actual_range 0.008, 0.228;
    String ioos_category "Location";
    String long_name "Y_North_std";
    String units "m.s-1";
  }
  Z_up_mean {
    Float32 actual_range -0.199, 0.132;
    String ioos_category "Statistics";
    String long_name "Z_up_mean";
    String units "m.s-1";
  }
  Z_up_std {
    Float32 actual_range 0.013, 0.337;
    String ioos_category "Location";
    String long_name "Z_up_std";
    String units "m.s-1";
  }
  Amplitude_X_mean {
    Float32 actual_range 75.714, 142.619;
    String ioos_category "Statistics";
    String long_name "Amplitude_X_mean";
    String units "1";
  }
  Amplitude_X_std {
    Float32 actual_range 0.74, 43.421;
    String ioos_category "Location";
    String long_name "Amplitude_X_std";
    String units "1";
  }
  Amplitude_Y_mean {
    Float32 actual_range 77.905, 143.19;
    String ioos_category "Statistics";
    String long_name "Amplitude_Y_mean";
    String units "1";
  }
  Amplitude_Y_std {
    Float32 actual_range 1.396, 44.723;
    String ioos_category "Location";
    String long_name "Amplitude_Y_std";
    String units "1";
  }
  Amplitude_Z_mean {
    Float32 actual_range 74.429, 141.0;
    String ioos_category "Statistics";
    String long_name "Amplitude_Z_mean";
    String units "1";
  }
  Amplitude_Z_std {
    Float32 actual_range 0.873, 42.698;
    String ioos_category "Location";
    String long_name "Amplitude_Z_std";
    String units "1";
  }
  Batterie_mean {
    Float32 actual_range 10.162, 13.381;
    String ioos_category "Statistics";
    String long_name "Batterie_mean";
    String units "V";
  }
  Batterie_std {
    Float32 actual_range 0.0, 5.821;
    String ioos_category "Unknown";
    String long_name "Batterie_std";
    String units "V";
  }
  SoundSpeed_mean {
    Float32 actual_range 1146.79, 1505.4;
    String ioos_category "Currents";
    String long_name "SoundSpeed_mean";
    String units "m.s-1";
  }
  SoundSpeed_std {
    Float32 actual_range 0.0, 656.907;
    String ioos_category "Currents";
    String long_name "SoundSpeed_std";
    String units "m.s-1";
  }
  Heading_mean {
    Float32 actual_range 249.719, 328.762;
    String ioos_category "Statistics";
    String long_name "Heading_mean";
    String units "degree";
  }
  Heading_std {
    Float32 actual_range 0.059, 143.046;
    String ioos_category "Unknown";
    String long_name "Heading_std";
    String units "degree";
  }
  Pitch_mean {
    Float32 actual_range -0.9, -0.6;
    String ioos_category "Statistics";
    String long_name "Pitch_mean";
    String units "degree";
  }
  Pitch_std {
    Float32 actual_range 0.0, 0.345;
    String ioos_category "Unknown";
    String long_name "Pitch_std";
    String units "degree";
  }
  Roll_mean {
    Float32 actual_range 1.414, 1.971;
    String ioos_category "Statistics";
    String long_name "Roll_mean";
    String units "degree";
  }
  Roll_std {
    Float32 actual_range 0.0, 0.811;
    String ioos_category "Unknown";
    String long_name "Roll_std";
    String units "degree";
  }
  Pressure_mean {
    Float32 actual_range 1873.086, 2471.5;
    Float64 colorBarMaximum 1000.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Pressure";
    String long_name "Pressure_mean";
    String standard_name "sea_water_pressure_at_sea_floor";
    String units "dbar";
  }
  Pressure_std {
    Float32 actual_range 0.127, 1095.858;
    Float64 colorBarMaximum 1000.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Pressure";
    String long_name "Pressure_std";
    String standard_name "sea_water_pressure_at_sea_floor";
    String units "dbar";
  }
  TIS_mean {
    Float32 actual_range 10.115, 13.36;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "Temperature in situ mean";
    String standard_name "sea_water_temperature_at_sea_floor";
    String units "degree_C";
  }
  TIS_std {
    Float32 actual_range 0.0, 5.794;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "Temperature in situ std";
    String standard_name "sea_water_temperature_at_sea_floor";
    String units "degree_C";
  }
  Speed_mean {
    Float32 actual_range 0.017, 0.155;
    String ioos_category "Currents";
    String long_name "speed mean";
    String standard_name "sea_water_speed_at_sea_floor";
    String units "m.s-1";
  }
  Speed_std {
    Float32 actual_range 0.009, 0.258;
    String ioos_category "Currents";
    String long_name "speed std";
    String standard_name "sea_water_speed_at_sea_floor";
    String units "m.s-1";
  }
  Direction_mean {
    Float32 actual_range 33.986, 329.176;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Currents";
    String long_name "Direction mean";
    String units "degree";
  }
  Direction_std {
    Float32 actual_range 5.912, 166.708;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Currents";
    String long_name "Direction std";
    String units "degree";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "stationname,latitude,longitude";
    String comment "Scientific objectives at Ligurian site http://www.emso-fr.org/EMSO-Western-Ligurian-Sea/Scientific-objectives";
    String contact "Dominique Lefevre (dominique.lefevre@mio.osupytheas.fr)";
    String contributor_name "maurice.libes@osupytheas.fr";
    String contributor_role "raw data conversion, and data formating in NetCDF";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "dominique.lefevre@mio.osupytheas.fr";
    String creator_name "Dominique Lefevre";
    String creator_type "person";
    String creator_url "http://www.emso-fr.org/EMSO-France";
    String description " http://www.emso-fr.org/EMSO-Western-Ligurian-Sea/Infrastructure-description";
    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 file : 25/10/20
2020-10-25T16:33:56Z (local files)
2020-10-25T16:33:56Z http://erddap.osupytheas.fr/tabledap/Emso_Aquadopp_a898_a87a_af16.das";
    String infoUrl "http://www.emso-fr.org/EMSO-France";
    String institution "MIO UMR7294 CNRS / OSU Pytheas";
    String keywords "amplitude, Amplitude_X_mean, Amplitude_X_std, Amplitude_Y_mean, Amplitude_Y_std, Amplitude_Z_mean, Amplitude_Z_std, aquadopp, batterie, Batterie_mean, Batterie_std, capteur, cnrs, currents, data, depth, direction, Direction_mean, Direction_std, earth, Earth Science > Oceans > Ocean Pressure > Water Pressure, Earth Science > Pressure > Temperature, east, emso, files, floor, heading, Heading_mean, Heading_std, identifier, instrumented junction box, latitude, ligure, longitude, mean, measurement, mii, mio, name, north, ocean, oceans, oregon, osu, osu pytheas, ouest, pitch, Pitch_mean, Pitch_std, platform, platform_name, pressure, Pressure_mean, Pressure_std, profiler, pytheas, roll, Roll_mean, Roll_std, salinity, salinity-temperature-depth, science, sea, sea_water_pressure_at_sea_floor, sea_water_speed_at_sea_floor, sea_water_temperature_at_sea_floor, seawater, situ, soundspeed, SoundSpeed_mean, SoundSpeed_std, speed, Speed_mean, Speed_std, state, station, stationname, statistics, std, temperature, time, TIS_mean, TIS_std, umr, umr7294, university, water, X_East_mean, X_East_std, Y_North_mean, Y_North_std, Z_up_mean, Z_up_std";
    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 lineage "http://www.emso-fr.org/EMSO-Western-Ligurian-Sea/Infrastructure-description. This dataset has data from the EMSO Ligure Ouest Project. This dataset is a product of the EMSO Project office at MIO/OSU Pytheas institute. This dataset is partially refreshed everyday by downloading the latest version of the last days worth of data.";
    Float64 Northernmost_Northing 42.805;
    String production "MIO UMR 7294 CNRS / OSU Pytheas";
    String project "EMSO http://www.emso-fr.org/EMSO-France";
    String references "http://www.emso-fr.org/EMSO-France";
    String Request_for_acknowledgement "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 source "sea bottom measurements - MII robot";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 42.805;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "stationname, latitude, longitude, depth";
    String summary "EMSO Ligure Ouest : MII : traitement temps reel de fichiers de mesures provenant de capteurs AQUADOPP in situ sur une station de fond MII";
    String testOutOfDate "now-1day";
    String time_coverage_end "2020-10-24T00:22:24Z";
    String time_coverage_start "2019-05-23T19:11:01Z";
    String title "EMSO Ligure Ouest MII capteur AQUADOPP (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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