Make A Graph

Dataset Title:	Pacific Life Cetacean (2019-2024)
Institution:	GCOOS (Dataset ID: Mexico-PLC-2019-2024)
Range:	longitude = -96.06611 to -95.50083°E, latitude = 19.20056 to 19.725°N
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

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

Marker Type:

Size:

Color:

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 {
 s {
  eventID {
    String ioos_category "Identifier";
    String long_name "event ID";
  }
  datasetID {
    String ioos_category "Identifier";
    String long_name "Dataset ID";
  }
  datasetName {
    String ioos_category "Unknown";
    String long_name "Dataset Name";
  }
  institutionCode {
    String ioos_category "Unknown";
    String long_name "Institution Code";
  }
  eventDate {
    String ioos_category "Time";
    String long_name "Event Date";
    String standard_name "time";
  }
  eventTime {
    String ioos_category "Time";
    String long_name "Time";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 19.20056, 19.725;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "decimalLatitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -96.06611111, -95.50083;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "decimalLongitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  locality {
    String ioos_category "Location";
    String long_name "Locality";
  }
  stateProvince {
    String ioos_category "Location";
    String long_name "State Province";
  }
  country {
    String ioos_category "Location";
    String long_name "Country";
  }
  waterBody {
    String ioos_category "Unknown";
    String long_name "Water Body";
  }
  scientificName {
    String ioos_category "Taxonomy";
    String long_name "Scientific Name";
  }
  taxonRank {
    String ioos_category "Taxonomy";
    String long_name "Taxon Rank";
  }
  kingdom {
    String ioos_category "Unknown";
    String long_name "Kingdom";
  }
  phylum {
    String ioos_category "Taxonomy";
    String long_name "Phylum";
  }
  class {
    String ioos_category "Unknown";
    String long_name "Class";
  }
  order {
    String ioos_category "Taxonomy";
    String long_name "Order";
  }
  family {
    String ioos_category "Taxonomy";
    String long_name "Family";
  }
  genus {
    String ioos_category "Taxonomy";
    String long_name "Genus";
  }
  specie {
    String ioos_category "Unknown";
    String long_name "Specie";
  }
  individualCount {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 30;
    String ioos_category "Statistics";
    String long_name "Individual Count";
    Byte missing_value 127;
    String units "count";
  }
  recordedBy {
    String ioos_category "Unknown";
    String long_name "Recorded By";
  }
  identifiedBy {
    String ioos_category "Unknown";
    String long_name "Identified By";
  }
  dateIdentified {
    String ioos_category "Time";
    String long_name "Date Identified";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  basisOfRecord {
    String ioos_category "Unknown";
    String long_name "Basis Of Record";
  }
  habitat {
    String ioos_category "Unknown";
    String long_name "Habitat";
  }
  elevation {
    String ioos_category "Location";
    String long_name "Elevation";
  }
  identificationRemarks {
    String ioos_category "Unknown";
    String long_name "Identification Remarks";
  }
  eventRemarks {
    String ioos_category "Unknown";
    String long_name "Event Remarks";
  }
  samplingProtocol {
    String ioos_category "Unknown";
    String long_name "Sampling Protocol";
  }
  samplingEffort {
    String ioos_category "Unknown";
    String long_name "Sampling Effort";
  }
  citation {
    String ioos_category "Unknown";
    String long_name "Citation";
  }
  referenceType {
    String ioos_category "Unknown";
    String long_name "Reference Type";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String contributor_email "manolo.fdez.g@gmail.com";
    String contributor_name "Manuel Fernandez";
    String contributor_role "Researcher";
    String contributor_role_vocabulary "https://vocab.nerc.ac.uk/collection/G04/current/";
    String Conventions "CF-1.7, ACDD-1.3, IOOS 1.2";
    String creator_address "6300 Ocean Drive";
    String creator_city "Corpus Christi";
    String creator_country "USA";
    String creator_email "megan.howson@gcoos.org";
    String creator_institution "Texas AM University Corpus Christi";
    String creator_name "Megan Howson";
    String creator_phone "(361) 825-3454";
    String creator_postalcode "78412";
    String creator_sector "academic";
    String creator_state "Texas";
    String creator_type "person";
    Float64 Easternmost_Easting -95.50083;
    Float64 geospatial_lat_max 19.725;
    Float64 geospatial_lat_min 19.20056;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -95.50083;
    Float64 geospatial_lon_min -96.06611111;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-03-14T05:09:47Z (local files)
2025-03-14T05:09:47Z https://gcoos4.geos.tamu.edu/tabledap/Mexico-PLC-2019-2024.das";
    String infoUrl "https://data.gcoos.org/";
    String institution "GCOOS";
    String instrument "various";
    String instrument_vocabulary "GCMD Science Keywords Version 9.1.5";
    String keywords "2019-2024, cetacean, mexico";
    String license "CC4";
    Float64 Northernmost_Northing 19.725;
    String platform "None";
    String platform_name "NA";
    String publisher_address "6300 Ocean Drive";
    String publisher_city "Corpus Christi";
    String publisher_country "USA";
    String publisher_email "data@gcoos.org";
    String publisher_institution "GCOOS";
    String publisher_name "GCOOS";
    String publisher_phone "(361) 825-3454";
    String publisher_postalcode "78412";
    String publisher_state "Texas";
    String publisher_url "https://gcoos.org";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 19.20056;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "datasetName, institutionCode, locality, stateProvince, country, waterBody, kingdom, phylum, class, order, recordedBy, identifiedBy, basisOfRecord, habitat, elevation, identificationRemarks, eventRemarks, samplingProtocol, samplingEffort, referenceType";
    String summary "This dataset contains opportunistic sightings of cetaceans off the coast of Veracruz during surveys by Manuel Fernandez with Pelagic Life. These surveys were conducted between 2019-2024.";
    String time_coverage_end "2024-06-12T12:30:00Z";
    String time_coverage_start "2019-04-06T11:53:00Z";
    String title "Pacific Life Cetacean (2019-2024)";
    Float64 Westernmost_Easting -96.06611111;
  }
}

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.

ERDDAP, Version 2.25_1
Disclaimers | Privacy Policy | Contact