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Dataset Title:	EMODnet Physics - Total Suspended Matter (TSM) and GRDC Mean monthly discharge - major river 2002-2012
Institution:	CGRD, CNR (Dataset ID: MONTHLY_MEAN_DISCHARGE_MAJOR_RIVERS)
Range:	longitude = 3.493074 to 28.71666°E, latitude = 43.62722 to 55.86386°N, time = 2002-01-01T00:00:00Z to 2012-12-01T00:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

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 {
  basin {
    String long_name "Basin";
  }
  river {
    String long_name "River";
  }
  TSM_latitude {
    Float64 actual_range 43.272373, 57.068226;
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String long_name "TSM Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  TSM_longitude {
    Float64 actual_range 0.15562776, 29.765772;
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String long_name "TSM Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  station {
    String long_name "Station";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 43.62722, 55.86386;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "River Station Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 3.493074, 28.71666;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "River Station Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  country {
    String long_name "Country";
  }
  GRDCno {
    Int32 _FillValue 2147483647;
    Int32 actual_range 6122101, 6939501;
    String long_name "GRDCno";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0098432e+9, 1.35432e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    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";
  }
  Original {
    String long_name "Original (provided) data";
  }
  Calculated {
    Float32 _FillValue -999.0;
    Float32 actual_range 0.099, 14673.33;
    String long_name "GRDC calculated from daily data";
  }
  Flag {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 100;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag";
  }
  conc_tsm_mean {
    Float64 _FillValue NaN;
    Float64 actual_range 0.031917445, 210.02887;
    String long_name "Concentration of total suspended matter";
    String units "mg/l";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting 28.71666;
    String featureType "Point";
    Float64 geospatial_lat_max 55.86386;
    Float64 geospatial_lat_min 43.62722;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 28.71666;
    Float64 geospatial_lon_min 3.493074;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-04-06T20:15:06Z (local files)
2025-04-06T20:15:06Z http://erddap.emodnet-physics.eu/tabledap/MONTHLY_MEAN_DISCHARGE_MAJOR_RIVERS.das";
    String infoUrl "https://www.bafg.de/GRDC/EN/01_GRDC/grdc_node.html";
    String institution "CGRD, CNR";
    String keywords "basin, calculated, conc, conc_tsm_mean, country, data, flag, grdcno, latitude, local, long, longitude, mean, original, river, source, station, time, tsm";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    Float64 Northernmost_Northing 55.86386;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.62722;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "EMODnet Physics - Total Suspended Matter (TSM) and GRDC Mean monthly discharge - major river 2002-2012";
    String time_coverage_end "2012-12-01T00:00:00Z";
    String time_coverage_start "2002-01-01T00:00:00Z";
    String title "EMODnet Physics - Total Suspended Matter (TSM) and GRDC Mean monthly discharge - major river 2002-2012";
    Float64 Westernmost_Easting 3.493074;
  }
}

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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