CalCOFI ERDDAP
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Dataset Title:	CDFW Dungeness Crab Megalopae — observations
Institution:	CalCOFI (Dataset ID: cdfw_dungeness-crab)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form

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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 {
  sample_key {
    String ioos_category "Identifier";
    String long_name "Sample key";
  }
  cruise_key {
    String ioos_category "Identifier";
    String long_name "Cruise key";
  }
  grid_key {
    String ioos_category "Identifier";
    String long_name "Grid key";
  }
  site_key {
    String ioos_category "Identifier";
    String long_name "Site key";
  }
  sample_type {
    String ioos_category "Other";
    String long_name "Sample type";
  }
  time {
    String _CoordinateAxisType "Time";
    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";
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  depth_max_m {
    String ioos_category "Location";
    String long_name "Depth max m";
  }
  taxon_key {
    String ioos_category "Identifier";
    String long_name "Taxon key";
  }
  scientific_name {
    String ioos_category "Other";
    String long_name "Scientific name";
  }
  life_stage {
    String ioos_category "Other";
    String long_name "Life stage";
  }
  measurement_type {
    String ioos_category "Other";
    String long_name "Measurement type";
  }
  measurement_value {
    String ioos_category "Other";
    String long_name "Measurement value";
  }
  measurement_qual {
    String ioos_category "Other";
    String long_name "Measurement qual";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_name "CalCOFI";
    String creator_url "https://calcofi.org";
    String dataset_key "cdfw_dungeness-crab";
    String db_release "v2026.08.14";
    String featureType "Point";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_units "degrees_east";
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-08-23T23:55:48Z (source database)
2026-08-23T23:55:48Z http://localhost:8090/tabledap/cdfw_dungeness-crab.das";
    String infoUrl "https://calcofi.org";
    String institution "CalCOFI";
    String license "CC BY 4.0";
    String references "https://calcofi.io/workflows/publish_to-erddap.html";
    String sourceUrl "(source database)";
    String standard_name_vocabulary "CF Standard Name Table v79";
    String subsetVariables "cruise_key, site_key, measurement_type";
    String summary 
"Dungeness crab (Metacarcinus magister) megalopae and larval decapods picked from archived CalCOFI oblique-tow plankton samples, examined for the California Department of Fish and Wildlife. Two efforts: a 2008-2014 time series of 310 sorted samples (A. Klemmedson, 2015) yielding 24 M. magister megalopae from 14 samples, and a 1949-2009 master sorting log of 2,011 archived samples (E. Jones, as of 2012-02-15) recording which had been examined. Spring cruises, CalBOBL oblique tows, lines < 80 / stations < 90. Counts are occurrence in the examined aliquot, not standardized density. Sorting was performed at the SIO Pelagic Invertebrate Collection, where the removed megalopae are archived in vials. One row per observation: a measurement of one quantity at one event, taxon and depth. `measurement_type` names the quantity and `measurement_value` holds it, so filter on measurement_type. Source: CalCOFI integrated database release v2026.08.14. Citation: Rogers-Bennett, L.; Jones, E.; Klemmedson, A. (2026). CDFW Dungeness Crab Megalopae from archived CalCOFI plankton samples (1949-2014). California Department of Fish and Wildlife, published through CalCOFI / Scripps Institution of Oceanography.
.";
    String title "CDFW Dungeness Crab Megalopae — observations";
  }
}

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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