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Dataset Title:	Water Temperature data from the Hypoxia - Nutrients Datasets collected in the Gulf of Mexico from 1922 to 2014
Institution:	GCOOS (Dataset ID: mms_nutrient_1922_2014_03)
Range:	longitude = -98.08664 to -80.19616°E, latitude = 24.56848 to 31.015736°N, depth = -99.0 to 1030.1m, time = 1956-12-15T00:00:00Z to 2014-09-25T17:30:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -4.11696e+8, 1.4116662e+9;
    String axis "T";
    String calendar "julian";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "Time";
    String source_name "observation_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 24.5684798, 31.0157358;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude of station";
    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 -98.086639, -80.1961604;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude of station";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  observation_organization {
    String coverage_content_type "auxiliaryInformation";
    String description "Name of the organization that contributed each observation";
    String long_name "Organization Name for each observation";
    String units "1";
  }
  observation_station {
    String coverage_content_type "auxiliaryInformation";
    String description "Name of the station that contributed each observation";
    String long_name "Station Name for each observation";
    String units "1";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range -99.0, 1030.1;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Vertical position";
    String positive "down";
    String source_name "observation_vertical_position";
    String standard_name "depth";
    String units "m";
  }
  sea_water_temperature {
    Float64 actual_range 0.0, 6928.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "physicalMeasurement";
    String long_name "In situ water temperature measured in degrees Celsius";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  sea_water_temperature_qc {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1, 4;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "qualityInformation";
    String description "Flag indicating quality control for each In situ water temperature measured in degrees Celsius observation";
    String flag_meanings "pass quality_not_evaluated suspect_or_high_interest failed missing_data";
    Int32 flag_values 1, 2, 3, 4, 9;
    String long_name "Quality control flag for In situ water temperature measured in degrees Celsius measurements";
    String standard_name "gross_range_test_quality_flag";
    String units "1";
  }
 }
  NC_GLOBAL {
    String acknowledgement "This dataset aggregates waterTemperature observations from hypoxia and nutrient data collected by the Mineral Management Service (MMS) of the Department of the Interior from 2012 to 2014. These historical collections of over 19M data records were initiated by the late Dr. Mathew K. Howard, then the Data Manager at GCOOS, and were only recently reprocessed and published.";
    String cdm_data_type "Point";
    String comment "The waterTemperature hypoxia and nutrient data collected by the Mineral Management Service (MMS) of the Department of the Interior from 2012 to 2014. Data were taken from 34,400 stations from 80 participating organizations. These historical collections of over 19M data records were initiated by the late Dr. Mathew K. Howard, then the Data Manager at GCOOS, and were only recently reprocessed and published. Note that in 2011, MMS became the Bureau of Ocean Energy Management (BOEM), Bureau of Safety and Environmental Enforcement (BSEE), and Office of Natural Resource Revenue (ONRR).";
    String contributor_name "Harte Research Institute,TAMUCC";
    String contributor_role "publisher";
    String Conventions "CF-1.10, ACDD-1.3, COARDS";
    String creator_email "data@gcoos.org";
    String creator_institution "Gulf of America Coastal Ocean Observing System (GCOOS)";
    String creator_name "Harte Research Institute,TAMUCC";
    String creator_type "institution";
    String creator_url "https://www.harteresearch.org/";
    String date_created "2026-04-17T18:24:22Z";
    String date_issued "2026-04-17T18:24:22Z";
    String date_metadata_modified "2026-04-17T18:24:22Z";
    String date_modified "2026-04-17T18:24:22Z";
    Float64 Easternmost_Easting -80.1961604;
    String featureType "Point";
    String geospatial_bounds "POLYGON ((-97.832468 25.8922, -81.477 25.8922, -81.477 30.62973, -97.832468 30.62973, -97.832468 25.8922))";
    String geospatial_bounds_crs "EPSG:4326";
    String geospatial_bounds_vertical_crs "EPSG:5831";
    Float64 geospatial_lat_max 31.0157358;
    Float64 geospatial_lat_min 24.5684798;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -80.1961604;
    Float64 geospatial_lon_min -98.086639;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1030.1;
    Float64 geospatial_vertical_min -99.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-04-17T18:24:22Z
2026-10-14T09:38:17Z (local files)
2026-10-14T09:38:17Z https://gcoos4.geos.tamu.edu/tabledap/mms_nutrient_1922_2014_03.das";
    String id "MMS_NUTRIENT_waterTemperature";
    String infoUrl "https://gcoos.org";
    String institution "GCOOS";
    String keywords "america, celsius, coastal, control, data, degrees, depth, each, earth, earth science, Earth Science > Oceans > Ocean Temperature > Water Temperature, flag, gcoos, gom, gross, gross_range_test_quality_flag, gulf, gulf of america, hypoxia, latitude, longitude, measured, measurements, mexico, mms nutrient, modification, name, nutrients, observation, observation_organization, observation_station, observing, ocean, ocean temperature, oceans, organization, quality, range, science, sea, sea_water_temperature, sea_water_temperature_qc, seawater, situ, station, system, temperature, test, time, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Unrestricted use and distribution";
    Float64 Northernmost_Northing 31.0157358;
    String product_version "1.0";
    String publisher_address "6300 Ocean Drive";
    String publisher_city "Corpus Christi";
    String publisher_country "USA";
    String publisher_email "data@gcoos.org";
    String publisher_institution "Gulf of America Coastal Ocean Observing System (GCOOS)";
    String publisher_name "Gulf of America Coastal Ocean Observing System (GCOOS)";
    String publisher_postalcode "78412";
    String publisher_state "TX";
    String publisher_type "institution";
    String publisher_url "https://gcoos.org";
    String references "https://gcoos.org";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 24.5684798;
    String standard_name_vocabulary "CF Standard Name Table v93";
    String summary "Gulf of Mexico Coastal Observing System (GCOOS) Hypoxia - Nutrients Water Temperature Data. Water temperature observations collected from MMS NUTRIENT Datasets(1922-2014) in Gulf of America This file covers observations from 1956 to 2008.";
    String time_coverage_duration "P998D";
    String time_coverage_end "2014-09-25T17:30:00Z";
    String time_coverage_start "1956-12-15T00:00:00Z";
    String title "Water Temperature data from the Hypoxia - Nutrients Datasets collected in the Gulf of Mexico from 1922 to 2014";
    Float64 Westernmost_Easting -98.086639;
  }
}

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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