Make A Graph

Dataset Title:	EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - BALTIC SEA
Institution:	CNR (Dataset ID: TSM_BALTICSEA)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

longitude (degrees_east)

latitude (degrees_north)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

[The graph you specified. Please be patient.]

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0228896e+9, 1.33056e+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 units "seconds since 1970-01-01T00:00:00Z";
  }
  longitude {
    Int32 _ChunkSizes 6635;
    String _CoordinateAxisType "Lon";
    Float32 actual_range 9.999476, 30.85674;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 30.856739;
    Float32 valid_min 9.999476;
  }
  latitude {
    Int32 _ChunkSizes 3986;
    String _CoordinateAxisType "Lat";
    Float32 actual_range 53.47149, 66.00031;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 66.00031;
    Float32 valid_min 53.471493;
  }
  conc_tsm_mean {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.01;
    String colorBarScale "Log";
    String coordinates "lat lon";
    String long_name "conc_tsm_mean";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.10.6";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 30.85674;
    Float64 geospatial_lat_max 66.00031;
    Float64 geospatial_lat_min 53.47149;
    Float64 geospatial_lat_resolution 0.0031439949811794218;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 30.85674;
    Float64 geospatial_lon_min 9.999476;
    Float64 geospatial_lon_resolution 0.0031439951763641847;
    String geospatial_lon_units "degrees_east";
    String history 
"Thu May 20 18:07:59 2021: ncks -x -v conc_tsm_mean,conc_tsm_sigma,crs,metadata,num_obs,num_passes 2012_03.nc.tmp 2012_03.nc
Thu May 20 18:07:52 2021: ncap2 -s defdim(\"time\",1);time[$time]=0;time@units=\"days since 2012-03-01T00:00:00Z\"; conctsmmean[$time,$lon,$lat]=conc_tsm_mean 2012-03.nc 2012_03.nc.tmp
2024-04-16T14:28:12Z (local files)
2024-04-16T14:28:12Z https://erddap.emodnet-physics.eu/griddap/TSM_BALTICSEA.das";
    String infoUrl "https://map.emodnet-physics.eu/";
    String institution "CNR";
    String keywords "conc_tsm_mean, concentration, data, local, matter, source, suspended, time, total";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    String metadata_profile "beam";
    String metadata_version "0.5";
    String NCO "netCDF Operators version 4.9.3 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 66.00031;
    String product_type "BINNED-L3";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 53.47149;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String start_date "01-MAR-2012 00:00:00.000000";
    String stop_date "30-MAR-2012 00:00:00.000000";
    String summary "EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - BALTIC SEA";
    String TileSize "64:64";
    String time_coverage_end "2012-03-01T00:00:00Z";
    String time_coverage_start "2002-06-01T00:00:00Z";
    String title "EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - BALTIC SEA";
    Float64 Westernmost_Easting 9.999476;
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection 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. It makes 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.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.