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Dataset Title:  Technical data: EMSO-Azores AanderaaOptodeSeamon near real time data from the
2016-2017 deployment Subscribe RSS
Institution:  Ifremer, Institut Français de Recherche pour l'Exploitation de la Mer;Institute of Earth Physics of Paris (IPGP);La Rochelle University, Littoral Environment and Societies (LIENSS)   (Dataset ID: AanderaaOptodeSeamon_2016-2017)
Range: time = 2016-09-09T15:30:00Z to 2017-06-22T06:00:00Z
Information:  Summary ? | License ? | Metadata | Background (external link) | Subset | Data Access Form
 
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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 {
  PLATFORM {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 56, 63;
    String ioos_category "Unknown";
    String long_name "PLATFORM";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.473435e+9, 1.4981112e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "DATE (yyyy-mm-dd Thh:mi:ss Z)";
    String source_name "DATE (yyyy-mm-ddThh:mi:ssZ)";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude2 {
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "LATITUDE (degree_north)";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude2 {
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "LONGITUDE (degree_east)";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Instrument_Name {
    String ioos_category "Unknown";
    String long_name "Instrument Name (none)";
  }
  Sms {
    Int16 _FillValue 32767;
    Int16 actual_range 48, 1392;
    String ioos_category "Unknown";
    String long_name "Sms (none)";
  }
  Nbm {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 29;
    String ioos_category "Unknown";
    String long_name "Nbm (none)";
  }
  Channels {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 65283;
    String ioos_category "Unknown";
    String long_name "Channels (none)";
  }
  mole_concentration_of_dissolved_molecular_oxygen_in_sea_water {
    Float32 _FillValue NaN;
    Float32 actual_range 268.066, 287.783;
    String ioos_category "Dissolved O2";
    String long_name "Mole Concentration Of Dissolved Molecular Oxygen In Sea Water (millimole/m3)";
  }
  fractional_saturation_of_oxygen_in_sea_water {
    Float32 _FillValue NaN;
    Float32 actual_range 68.733, 97.845;
    Float64 colorBarMaximum 1.0;
    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";
  }
  temperature_of_sensor_for_oxygen_in_sea_water {
    Float32 _FillValue NaN;
    Float32 actual_range 4.407, 21.754;
    String ioos_category "Dissolved O2";
    String long_name "Temperature Of Sensor For Oxygen In Sea Water (degree Celsius)";
  }
  calphase {
    Float32 _FillValue NaN;
    Float32 actual_range 28.885, 36.845;
    String ioos_category "Unknown";
    String long_name "Calphase (micro M)";
  }
  tcphase {
    Float32 _FillValue NaN;
    Float32 actual_range 28.885, 36.845;
    String ioos_category "Unknown";
    String long_name "Tcphase (%)";
  }
  c1rph {
    Float32 _FillValue NaN;
    Float32 actual_range 37.645, 45.094;
    String ioos_category "Unknown";
    String long_name "C1rph (degree)";
  }
  c2rph {
    Float32 _FillValue NaN;
    Float32 actual_range 8.202, 8.768;
    String ioos_category "Unknown";
    String long_name "C2rph (degree)";
  }
  c1amp {
    Float32 _FillValue NaN;
    Float32 actual_range 662.5, 857.16;
    String ioos_category "Unknown";
    String long_name "C1amp (m V)";
  }
  c2amp {
    Float32 _FillValue NaN;
    Float32 actual_range 726.9, 884.03;
    String ioos_category "Unknown";
    String long_name "C2amp (m V)";
  }
  raw_temp {
    Float32 _FillValue NaN;
    Float32 actual_range 90.1, 650.79;
    String ioos_category "Unknown";
    String long_name "Raw Temp (m V)";
  }
  QC {
    String ioos_category "Quality";
    String long_name "QC";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String history 
"2024-10-31T06:42:58Z (local files)
2024-10-31T06:42:58Z https://erddap.emso-fr.org/tabledap/AanderaaOptodeSeamon_2016-2017.das";
    String infoUrl "???";
    String institution "Ifremer, Institut Français de Recherche pour l'Exploitation de la Mer;Institute of Earth Physics of Paris (IPGP);La Rochelle University, Littoral Environment and Societies (LIENSS)";
    String keywords "EMSO, EMSO Azores, Environmental monitoring, Environmental monitoring node, Geophysical data, Hydrothermal Vents, Lucky Strike, Marine imagery, Mid-Atlantic Ridge, MoMARSAT, Multidisciplinary data, TEMPO, Time-series";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States 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 sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "latitude2, longitude2, Instrument_Name, QC";
    String summary "This dataset contains real-time data acquired from the EMSO-Azores observatory. Data are managed by the COSTOF2 (COmmunication and STOrage Front-end second generation), developed by Ifremer. It's a smart multisensor marine observation platform designed to suit a wide range of observation systems. The data is located on one of the three Infrastructure constituting Emso Acores site (Transmission buoy BOREL , SeaMoN West or SeaMoN East)";
    String time_coverage_end "2017-06-22T06:00:00Z";
    String time_coverage_start "2016-09-09T15:30:00Z";
    String title "Technical data: EMSO-Azores AanderaaOptodeSeamon near real time data from the 2016-2017 deployment";
  }
}

 

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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