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Dataset Title:	CTD Profiles station JULIO (CSV files) lat 43.13 Lon 5.25 - programme Romarin
Institution:	MIO UMR7294 CNRS / OSU Pytheas (Dataset ID: JULIO_a3cf_97b7_7d21)
Range:	longitude = -999.0 to 5.25°E, latitude = -999.0 to 43.14°N, depth = -105.7 to -0.1m, time = 2015-01-20T11:43:00Z to 2020-02-13T12:48:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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Server-side Functions

distinct()

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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
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 1.42175418e+9, 1.58159808e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date";
    String source_name "Date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Pressure {
    Float32 actual_range -999.0, 106.27;
    String ioos_category "Pressure";
    String long_name "Pressure";
    String units "bar";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range -105.7, -0.1;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Temperature {
    Float32 actual_range 12.539, 26.687;
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degree Celsius";
  }
  Conductivity {
    Float32 actual_range 0.001698, 50.056;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 30.0;
    String ioos_category "Salinity";
    String long_name "Sea Water Electrical Conductivity";
    String standard_name "sea_water_electrical_conductivity";
    String units "S/m";
  }
  Salinity {
    Float32 actual_range 0.015, 38.815;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Fluorescence {
    Float32 actual_range -0.1338, 4.8068;
    String ioos_category "Optical Properties";
    String long_name "Fluorescence";
    String units "ug/l";
  }
  timeJ {
    Int16 actual_range -999, 348;
    String ioos_category "Time";
    String long_name "Time J";
    String units "Julian day";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -999.0, 43.14;
    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 -999.0, 5.25;
    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";
  }
  Irradiance {
    Float32 actual_range 1.0e-12, 4484.6;
    String ioos_category "Unknown";
    String long_name "Irradiance";
    Float32 missing_value -999.0;
    String units "uE/cm2";
  }
  Transmission {
    Float32 actual_range -999.0, 99.8411;
    String ioos_category "Optical Properties";
    String long_name "Transmission";
    String units "%";
  }
  Density {
    Float32 actual_range -999.0, 29.1164;
    String ioos_category "Physical Oceanography";
    String long_name "Density";
    String units "Kg/m^3";
  }
  Oxygen_ml_l {
    Float32 actual_range 0.0, 7.1883;
    String ioos_category "Dissolved O2";
    String long_name "Oxygen Ml/l";
    String units "ml/l";
  }
  Oxygen_umol_kg {
    Float32 actual_range -9.99e-29, 321.253;
    String ioos_category "Dissolved O2";
    String long_name "Oxygen umol/kg";
    String units "umol/Kg";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "MIO UMR7294 CNRS / OSU Pytheas";
    String creator_type "institution";
    String creator_url "http://www.mio.osupytheas.fr";
    Float64 Easternmost_Easting 5.25;
    String featureType "Point";
    Float64 geospatial_lat_max 43.14;
    Float64 geospatial_lat_min -999.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 5.25;
    Float64 geospatial_lon_min -999.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max -0.1;
    Float64 geospatial_vertical_min -105.7;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-10-30T05:42:34Z (local files)
2024-10-30T05:42:34Z http://erddap.osupytheas.fr/tabledap/JULIO_a3cf_97b7_7d21.das";
    String infoUrl "http://www.mio.osupytheas.fr";
    String institution "MIO UMR7294 CNRS / OSU Pytheas";
    String keywords "cnrs, conductivity, ctd, data, date, density, depth, dissolved, dissolved o2, earth, Earth Science > Oceans > Salinity/Density > Conductivity, Earth Science > Oceans > Salinity/Density > Salinity, electrical, fluorescence, irradiance, julio, latitude, longitude, mio, ml/l, O2, ocean, oceanography, oceans, optical, optical properties, osu, oxygen, Oxygen_ml_l, Oxygen_umol_kg, physical, physical oceanography, practical, pressure, profiles, properties, pytheas, salinity, science, sea, sea_water_electrical_conductivity, sea_water_practical_salinity, seawater, sonde, station, temperature, time, timeJ, transmission, umol, umol/kg, umr7294, university, water";
    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.";
    Float64 Northernmost_Northing 43.14;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -999.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "time, timeJ, longitude, latitude";
    String summary "Conductivity, Temperature, Depth (CTD) Profiles station JULIO lat 43.13 Lon 5.25";
    String time_coverage_end "2020-02-13T12:48:00Z";
    String time_coverage_start "2015-01-20T11:43:00Z";
    String title "CTD Profiles station JULIO (CSV files) lat 43.13 Lon 5.25 - programme Romarin";
    Float64 Westernmost_Easting -999.0;
  }
}

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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