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Dataset Title:	NAUTILOS - Dissolved oxigen sensor NKE - Ifremer - Test
Institution:	Ifremer (Dataset ID: nautilos_dissolved-oxygen_ifremer_test)
Range:	longitude = -5.14567 to -4.75593°E, latitude = 48.3775 to 48.60656°N, time = 2023-07-26T09:26:02Z to 2024-07-08T09:40:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| 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:

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Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.690363562e+9, 1.7204316e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Timestamp(Standard)";
    String source_name "Timestamp(Standard)";
    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";
  }
  CH0_Pressure_bar {
    Float32 actual_range -0.03, 14.27;
    String long_name "CH0:Pressure(bar)";
  }
  CH1_Temperature_degC {
    Float32 actual_range 9.005, 15.87;
    String long_name "CH1:Temperature(deg C)";
  }
  CH2_Oxygen_deg {
    Float32 actual_range 0.0, 28.276;
    String long_name "CH2:Oxygen(deg)";
  }
  CH3_Depth_m {
    Float32 actual_range -0.3, 141.3;
    String long_name "CH3:Depth(m)";
  }
  CH4_Oxygen_Concentration_mg_L {
    Float32 actual_range 0.0, 10.883;
    String long_name "CH4:Oxygen Concentration(mg/L)";
  }
  CH5_Oxygen_Saturation {
    Float32 actual_range 0.0, 101.82;
    String long_name "CH5:Oxygen Saturation(%)";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range 48.3775, 48.60656;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "Latitude(degNorth)";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range -5.14567, -4.75593;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "Longitude(degEast)";
    String standard_name "longitude";
    String units "degrees_east";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    Float64 Easternmost_Easting -4.75593;
    String featureType "Point";
    Float64 geospatial_lat_max 48.60656;
    Float64 geospatial_lat_min 48.3775;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -4.75593;
    Float64 geospatial_lon_min -5.14567;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-23T14:33:23Z (local files)
2024-11-23T14:33:23Z http://data-nautilos-h2020.eu/tabledap/nautilos_dissolved-oxygen_ifremer_test.das";
    String infoUrl "https://nautilos-h2020.eu/";
    String institution "Ifremer";
    String keywords "bar, ch0, CH0_Pressure_bar, ch1, CH1_Temperature_degC, ch2, CH2_Oxygen_deg, ch3, CH3_Depth_m, ch4, CH4_Oxygen_Concentration_mg_L, ch5, CH5_Oxygen_Saturation, concentration, data, depth, dissolved, dissolved-oxygen, exploitation, francais, ifremer, institut, latitude, longitude, mer, mg/l, nautilos, O2, oxygen, percent, pour, pressure, recherche, saturation, standard, temperature, test, time, timestamp";
    String license "CC-BY 4.0";
    String naming_authority "NAUTILOS";
    Float64 Northernmost_Northing 48.60656;
    String project_code "NAUTILOS";
    String Project_DOI "https://doi.org/10.3030/101000825";
    String project_edmerp "13720";
    String project_id "101000825";
    String project_name "New Approach to Underwater Technologies for Innovative, Low-cost Ocean obServation";
    String project_statement "This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825 (NAUTILOS). This output reflects only the author's view and the European Union cannot be held responsible for any use that may be made of the information contained therein";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 48.3775;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "CH2_Oxygen_deg, CH4_Oxygen_Concentration_mg_L, CH5_Oxygen_Saturation";
    String summary "NAUTILOS - Dissolved oxigen sensor NKE - Ifremer - Test";
    String testOutOfDate "now-15days";
    String time_coverage_end "2024-07-08T09:40:00Z";
    String time_coverage_start "2023-07-26T09:26:02Z";
    String title "NAUTILOS - Dissolved oxigen sensor NKE - Ifremer - Test";
    Float64 Westernmost_Easting -5.14567;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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