Make A Graph

Dataset Title:	medits_aut_25_tc
Institution:	ICATMAR (Dataset ID: public_medits_aut_25_tc)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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Graph Type:

X Axis:

Y Axis:

Color:

Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

Hover here to see a list of options. Click on an option to select it.

Graph Settings

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

Optional:
Then set the File Type: (File Type information)
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[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 {
 s {
  type_of_file {
    String ioos_category "Unknown";
    String long_name "Type Of File";
  }
  country {
    String ioos_category "Location";
    String long_name "Country";
  }
  area {
    String ioos_category "Unknown";
    String long_name "Area";
  }
  vessel {
    String ioos_category "Unknown";
    String long_name "Vessel";
  }
  year {
    String ioos_category "Time";
    String long_name "Year";
  }
  month {
    String ioos_category "Time";
    String long_name "Month";
  }
  day {
    String ioos_category "Time";
    String long_name "Day";
  }
  haul_number {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Haul Number";
  }
  codend_closing {
    String ioos_category "Unknown";
    String long_name "Codend Closing";
  }
  part_of_the_codend {
    String ioos_category "Unknown";
    String long_name "Part Of The Codend";
  }
  faunistic_category {
    String ioos_category "Unknown";
    String long_name "Faunistic Category";
  }
  genus {
    String ioos_category "Taxonomy";
    String long_name "Genus";
  }
  species {
    String ioos_category "Taxonomy";
    String long_name "Species";
  }
  length_classes_code {
    String ioos_category "Unknown";
    String long_name "Length Classes Code";
  }
  weight_of_the_fraction {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Weight Of The Fraction";
  }
  weight_of_the_sample_measured {
    String ioos_category "Unknown";
    String long_name "Weight Of The Sample Measured";
  }
  sex {
    String ioos_category "Biology";
    String long_name "Sex";
  }
  no_of_individual_of_the_above_sex_measured {
    String ioos_category "Biology";
    String long_name "No Of Individual Of The Above Sex Measured";
  }
  length_class {
    String ioos_category "Unknown";
    String long_name "Length Class";
  }
  maturity {
    String ioos_category "Unknown";
    String long_name "Maturity";
  }
  matsub {
    String ioos_category "Unknown";
    String long_name "Matsub";
  }
  number_of_individuals_in_the_length_class_and_maturity_stage {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Number Of Individuals In The Length Class And Maturity Stage";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.10, ACDD-1.3, NCCSV-1.2";
    String creator_name "ICATMAR";
    String creator_type "institution";
    String history 
"2026-04-18T14:54:37Z (source database)
2026-04-18T14:54:37Z http://erddap.icatmar.cat/tabledap/public_medits_aut_25_tc.das";
    String infoUrl "???";
    String institution "ICATMAR";
    String keywords "above, area, array, array-data, aut, biology, category, class, classes, closing, code, codend, codend_closing, comprehensive, country, data, day, faunistic, faunistic_category, file, fraction, genus, haul, haul_number, icatmar, individual, individuals, large, length, length_class, length_classes_code, matsub, maturity, measured, medits, month, no_of_individual_of_the_above_sex_measured, number, number_of_individuals_in_the_length_class_and_maturity_stage, part, part_of_the_codend, sample, sex, species, stage, statistics, stewardship, system, taxonomy, time, type, type_of_file, vessel, weight, weight_of_the_fraction, weight_of_the_sample_measured, year";
    String license 
"This dataset by ICATMAR is licensed under a Creative Commons Attribution 4.0
        International License. You should have received a copy of the license along with this work.
        If not, see https://creativecommons.org/licenses/by/4.0/.";
    String sourceUrl "(source database)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "medits_aut_25_tc. ICATMAR data from a local source.";
    String title "medits_aut_25_tc";
  }
}

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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