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Dataset Title:	EXPERIMENTAL - Phytoplankton Size Fraction for the Chukchi and Bering Shelf Seas
Institution:	??? (Dataset ID: size_frac_bering_chukchi)
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
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Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

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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 1.5178608e+9, 1.5413616e+9;
    String axis "T";
    String calendar "Gregorian";
    String coverage_content_type "coordinate";
    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";
    Float32 actual_range 54.02083, 73.97916;
    String axis "Y";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.9792, -150.0208;
    String axis "X";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  size_fraction_under5 {
    Float32 _FillValue -999.0;
    Float32 colorBarMaximum 5.0;
    Float32 colorBarMinimum 0.05;
    String colorBarScale "Log";
    String coverage_content_type "modelResult";
    String ioos_category "Phytoplankton Species";
    String long_name "Phytoplankton Size Fractions Less Than 5 um)";
    String units "mg m-3";
  }
  size_fraction_5_20 {
    Float32 _FillValue -999.0;
    Float32 colorBarMaximum 100.0;
    Float32 colorBarMinimum 0.001;
    String colorBarScale "Log";
    String coverage_content_type "modelResult";
    String ioos_category "Phytoplankton Species";
    String long_name "Phytoplankton Size Fractions Between 5 um and 20 um)";
    String units "mg m-3";
  }
  size_fraction_over20 {
    Float32 _FillValue -999.0;
    Float32 colorBarMaximum 100.0;
    Float32 colorBarMinimum 0.001;
    String colorBarScale "Log";
    String coverage_content_type "modelResult";
    String ioos_category "Phytoplankton Species";
    String long_name "Phytoplankton Size Fractions Greater Than 20 um)";
    String units "mg m-3";
  }
  chlor_a {
    Float32 _FillValue -999.0;
    Float32 colorBarMaximum 100.0;
    Float32 colorBarMinimum 0.001;
    String colorBarScale "Log";
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll Concentration";
    String standard_name "mass_concentration_of_chlorophyll_in_sea_water";
    String units "mg m-3";
  }
  sea_surface_temperature {
    Float32 _FillValue -999.0;
    String cell_methods "time:mean";
    Float64 colorBarMaximum 40.0;
    Int32 colorBarMinimum 0;
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value -999.0;
    String standard_name "sea_surface_temperature";
    String units "degree_C";
    Float32 valid_max 50.0;
    Float32 valid_min -2.0;
  }
  mask {
    Byte _FillValue 127;
    String _Unsigned "false";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Identifier";
    String long_name "Bering Sea Mask";
    String summary "Mask for depths greater than 200m to mark the shelf break in the Bering Sea";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6 ACDD-1.3, COARDS";
    Float64 Easternmost_Easting -150.0208;
    Float64 geospatial_lat_max 73.97916;
    Float64 geospatial_lat_min 54.02083;
    Float64 geospatial_lat_resolution 0.041666659707724416;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -150.0208;
    Float64 geospatial_lon_min -179.9792;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-05-01T12:00:35Z (local files)
2025-05-01T12:00:35Z https://coastwatch.pfeg.noaa.gov/wcn/griddap/size_frac_bering_chukchi.das";
    String infoUrl "???";
    String institution "???";
    String keywords "bering, between, chemistry, chlor_a, chlorophyll, chukchi, color, concentration, data, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Pigments > Chlorophyll, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, fractions, greater, identifier, jpss, latitude, less, longitude, mask, mass, mass_concentration_of_chlorophyll_in_sea_water, ocean, ocean color, oceans, phytoplankton, phytoplankton species, pigments, rractions, science, sea, sea_surface_temperature, seas, seawater, shelf, size, size fraction, size_fraction_5_20, size_fraction_over20, size_fraction_under5, species, sstimated, surface, temperature, than, time, 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.";
    String map_projection "geographic";
    Float64 Northernmost_Northing 73.97916;
    String project "JPSS Arctic Algorithms";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 54.02083;
    String spatialResolution "4 km";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Random forest modeling of 3 size fractions (<5, 5-20, >20 um) for the Chukchi and Bering shelf seas based on measuremnts of total chla and temperature. Each size fraction random forest model was trained on 221 in-situ measurements collected 2017-2019 in the Chukchi and Bering Shelf Seas.";
    String time_coverage_end "2018-11-04T20:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2018-02-05T20:00:00Z";
    String title "EXPERIMENTAL - Phytoplankton Size Fraction for the Chukchi and Bering Shelf Seas";
    Float64 Westernmost_Easting -179.9792;
  }
}

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.