Make A Graph

Dataset Title:	Euphausia pacifica, Catch per Unit Effort, US West Coast, Species Distribution Model
Institution:	University of California, Santa Cruz (Dataset ID: e_pacifica_daily_cpue)
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:

(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 1.6803504e+9, 1.7251056e+9;
    String axis "T";
    String calendar "gregorian";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "Centered 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 30.05, 47.95;
    String axis "Y";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -133.95, -115.55;
    String axis "X";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  euphausia_pacifica {
    Float32 _FillValue -999.0;
    String comment "Abundance of krill (Epac) per 15-min net tow of a trawl";
    String coverage_content_type "modelResult";
    String ioos_category "Zooplankton Abundance";
    String long_name "Euphausia pacifica Catch per Unit Effort";
    Float32 missing_value -999.0;
  }
  NC_GLOBAL {
    String acknowledgement "We thank the California Current Integrated Ecosystem Assessment (CCIAE) and U.S. Marine Biodiversity Observation Network (MBON) for support of the project leading to the development of the model. We also thank the California Ocean Protection Council (OPC) for support of the maintenance of the operational tool to make the ongoing model predictions and related products.";
    String cdm_data_type "Grid";
    String Conventions "CF-1.10, ACDD-1.3, COARDS";
    String creator_email "josh.cullen@noaa.gov";
    String creator_name "Josh Cullen";
    String creator_type "person";
    String creator_url "https://www.noaa.gov/";
    String date_created "2024-12-18T19:32:00Z";
    Float64 Easternmost_Easting -115.55;
    Float64 geospatial_lat_max 47.95;
    Float64 geospatial_lat_min 30.05;
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -115.55;
    Float64 geospatial_lon_min -133.95;
    Float64 geospatial_lon_resolution 0.09999999999999995;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-05-02T05:16:29Z (local files)
2025-05-02T05:16:29Z https://coastwatch.pfeg.noaa.gov/wcn/griddap/e_pacifica_daily_cpue.das";
    String id "e_pacifica_daily_cpue";
    String infoUrl "https://dx.doi.org/10.1111/ecog.05204";
    String institution "University of California, Santa Cruz";
    String keywords "abundance, animals, animals/invertebrates, arthropods, biological, california, catch, catch per effort, classification, coast, crustaceans, cruz, data, distribution, earth, Earth Science > Biological Classification > Animals/Invertebrates > Arthropods > Crustaceans > Euphausiids, effort, euphausia, euphausia pacifica, euphausia_pacifica, euphausiids, invertebrates, krill, latitude, longitude, model, modeling, ocean, pacifica, per, regional, roms, santa, science, species, system, time, unit, university, US, west, west coast, zooplankton, zooplankton abundance";
    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 naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 47.95;
    String publisher_email "erd.data at noaa.gov";
    String publisher_name "NOAA/NMFS/SWFSC/ITDS";
    String publisher_type "institution";
    String publisher_url "https://www.fisheries.noaa.gov/about/southwest-fisheries-science-center";
    String references "https://dx.doi.org/10.1111/ecog.05204";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 30.05;
    String spatialResolution "10 km";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset includes the outputs of Species Distribution Models (SDMs) for krill (Euphausia pacifica) catch per unit effort, combining survey data from the Rockfish Recruitment and Ecosystem Assessment Survey with environmental fields from a high-resolution Regional Ocean Modeling System developed at the University of California - Santa Cruz. SDM outputs are daily from April-August.";
    String time_coverage_end "2024-08-31T12:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2023-04-01T12:00:00Z";
    String title "Euphausia pacifica, Catch per Unit Effort, US West Coast, Species Distribution Model";
    Float64 Westernmost_Easting -133.95;
  }
}

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.