Make A Graph

Dataset Title:	Averages of SeaWIFS products at 500km 30-day resolution
Institution:	University of Delaware (Dataset ID: seawifs_500km_30day)
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 →

latitude (degrees_north)

longitude (degrees_east)

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

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Then set the File Type: (File Type information)
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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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 9.467028e+8, 1.2622356e+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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -88.20152263374486, 87.64621399176954;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -177.6851851851852, 178.7962962962963;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  chl_ocx {
    Float32 _FillValue -999.0;
    String ioos_category "Unknown";
    String long_name "Chl Ocx";
    Float32 missing_value -999.0;
    String units "mg m^-3";
  }
  kd_490 {
    Float32 _FillValue -999.0;
    String ioos_category "Unknown";
    String long_name "KD 490";
    Float32 missing_value -999.0;
    String units "m^-1";
  }
  par {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Optical Properties";
    String long_name "Downwelling Photosynthetic Photon Radiance In Sea Water";
    Float32 missing_value -999.0;
    String standard_name "downwelling_photosynthetic_photon_radiance_in_sea_water";
    String units "einstein m^-2 day^-1";
  }
  poc {
    Float32 _FillValue -999.0;
    String ioos_category "Ocean Color";
    String long_name "Particulate Organic Carbon";
    Float32 missing_value -999.0;
    String units "mg m^-3";
  }
  Zeu_lee {
    Float32 _FillValue -999.0;
    String ioos_category "Unknown";
    String long_name "Zeu Lee";
    Float32 missing_value -999.0;
    String units "m";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 178.7962962962963;
    Float64 geospatial_lat_max 87.64621399176954;
    Float64 geospatial_lat_min -88.20152263374486;
    Float64 geospatial_lat_resolution 4.627572016460905;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 178.7962962962963;
    Float64 geospatial_lon_min -177.6851851851852;
    Float64 geospatial_lon_resolution 4.62962962962963;
    String geospatial_lon_units "degrees_east";
    String history 
"Mon May 16 12:45:58 2022: ncrcat 1_day_2005_001.nc 1_day_2005_002.nc 1_day_2005_003.nc 1_day_2005_004.nc 1_day_2005_005.nc 1_day_2005_006.nc 1_day_2005_007.nc 1_day_2005_008.nc 1_day_2005_009.nc 1_day_2005_010.nc 1_day_2005_011.nc 1_day_2005_012.nc 1_day_2005_013.nc 1_day_2005_014.nc 1_day_2005_015.nc 1_day_2005_016.nc 1_day_2005_017.nc 1_day_2005_018.nc 1_day_2005_019.nc 1_day_2005_020.nc 1_day_2005_021.nc 1_day_2005_022.nc 1_day_2005_023.nc 1_day_2005_024.nc 1_day_2005_025.nc 1_day_2005_026.nc 1_day_2005_027.nc 1_day_2005_028.nc 1_day_2005_029.nc 1_day_2005_030.nc 1_day_2005_031.nc 1_day_2005_032.nc 1_day_2005_033.nc 1_day_2005_034.nc 1_day_2005_035.nc 1_day_2005_036.nc 1_day_2005_037.nc 1_day_2005_038.nc 1_day_2005_039.nc 1_day_2005_040.nc 1_day_2005_041.nc 1_day_2005_042.nc 1_day_2005_043.nc 1_day_2005_044.nc 1_day_2005_045.nc 1_day_2005_046.nc 1_day_2005_047.nc 1_day_2005_048.nc 1_day_2005_049.nc 1_day_2005_050.nc 1_day_2005_051.nc 1_day_2005_052.nc 1_day_2005_053.nc 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1_day_2005_329.nc 1_day_2005_330.nc 1_day_2005_331.nc 1_day_2005_332.nc 1_day_2005_333.nc 1_day_2005_334.nc 1_day_2005_335.nc 1_day_2005_336.nc 1_day_2005_337.nc 1_day_2005_338.nc 1_day_2005_339.nc 1_day_2005_340.nc 1_day_2005_341.nc 1_day_2005_342.nc 1_day_2005_343.nc 1_day_2005_344.nc 1_day_2005_345.nc 1_day_2005_346.nc 1_day_2005_347.nc 1_day_2005_348.nc 1_day_2005_349.nc 1_day_2005_350.nc 1_day_2005_351.nc 1_day_2005_352.nc 1_day_2005_353.nc 1_day_2005_354.nc 1_day_2005_355.nc 1_day_2005_356.nc 1_day_2005_357.nc 1_day_2005_358.nc 1_day_2005_359.nc 1_day_2005_360.nc 1_day_2005_361.nc 1_day_2005_362.nc 1_day_2005_363.nc 1_day_2005_364.nc 1_day_2005_365.nc /lustre/scratch/orb/seawifs/500km/30day/seawifs_30day.2005.nc4
2025-05-12T09:59:48Z (local files)
2025-05-12T09:59:48Z http://ocean-data.ceoe.udel.edu/griddap/seawifs_500km_30day.das";
    String infoUrl "???";
    String institution "University of Delaware";
    String keywords "active, available, carbon, chl, chl_ocx, chlorophyll, color, data, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, earth, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, kd_490, lee, local, ocean, ocean color, oceans, ocx, optical, optical properties, optics, organic, par, particulate, photon, photosynthetic, photosynthetically, poc, properties, radiance, radiation, science, sea, seawater, source, time, water, zeu, Zeu_lee";
    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 NCO "netCDF Operators version 4.7.6 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 87.64621399176954;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -88.20152263374486;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Averages of SeaWIFS products at 500km 30-day resolution. Averaging performed by NetCDF Operators";
    String time_coverage_end "2009-12-31T05:00:00Z";
    String time_coverage_start "2000-01-01T05:00:00Z";
    String title "Averages of SeaWIFS products at 500km 30-day resolution";
    Float64 Westernmost_Easting -177.6851851851852;
  }
}

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.