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Dataset Title:	Ozone measurements: Ozone Remote Sensing (Discrete)
Institution:	NOAA Global Monitoring Laboratory (Dataset ID: ozone_o3_remote_sensing_discrete)
Range:	longitude = -170.56277 to 169.68°E, latitude = -89.99 to 71.323°N, time = 1962-07-26T18:02:00Z to 2026-05-29T19:57:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| 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 -2.3459748e+8, 1.78008462e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "UTC Observation Datetime";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  site_code {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Site Code";
  }
  utc_time_of_day {
    String ioos_category "Other";
    String long_name "UTC Time of Day";
  }
  local_datetime {
    Float64 actual_range -2.3461908e+8, 1.78005942e+9;
    String ioos_category "Time";
    String long_name "Local Observation Datetime";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  total_ozone {
    Float64 actual_range 73.0, 591.0;
    String ioos_category "Other";
    String long_name "Total Column Ozone";
    String units "DU";
  }
  air_mass_factor {
    Float64 actual_range 1.0, 10.948;
    String ioos_category "Other";
    String long_name "Air Mass Factor (Mu)";
  }
  instrument_id {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 94;
    String ioos_category "Identifier";
    String long_name "Dobson Instrument Number";
  }
  ls_code {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 69;
    String ioos_category "Other";
    String long_name "LS Status Code";
  }
  wavelength_pair {
    String ioos_category "Optical Properties";
    String long_name "Dobson Wavelength Pair";
  }
  observation_kind {
    String ioos_category "Other";
    String long_name "Kind of Observation";
  }
  utc_date {
    Float64 actual_range -2.346624e+8, 1.7800128e+9;
    String ioos_category "Time";
    String long_name "UTC Date";
    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";
  }
  local_date {
    Float64 actual_range -2.346624e+8, 1.7800128e+9;
    String ioos_category "Time";
    String long_name "Local Date";
    String source_name "Column#0";
    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";
  }
  local_time_of_day {
    String ioos_category "Other";
    String long_name "Local Time of Day";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -89.99, 71.323;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -170.56278, 169.68;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  local_doy {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 366;
    String ioos_category "Other";
    String long_name "Local Day of Year";
  }
  utc_doy {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 366;
    String ioos_category "Other";
    String long_name "UTC Day of Year";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "site_code";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String dataset_fair_use "These data are made freely available to the public and the scientific community in the belief that their wide dissemination will lead to greater understanding and new scientific insights. To ensure that GML receives fair credit for their work please include relevant citation text in publications. We encourage users to contact the data providers, who can provide detailed information about the measurements and scientific insight. In cases where the data are central to a publication, coauthorship for data providers may be appropriate.";
    String dataset_provider_license "These data were produced by NOAA and are not subject to copyright protection in the United States. NOAA waives any potential copyright and related rights in these data worldwide through the Creative Commons Zero 1.0 Universal Public Domain Dedication (CC0-1.0).";
    Float64 Easternmost_Easting 169.68;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 71.323;
    Float64 geospatial_lat_min -89.99;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 169.68;
    Float64 geospatial_lon_min -170.56278;
    String geospatial_lon_units "degrees_east";
    String gml_category "Ozone";
    String gml_frequency "Discrete";
    String gml_parameter "o3";
    String gml_site_count "16";
    String gml_type "Remote Sensing";
    String history 
"2026-07-06T01:38:43Z (local files)
2026-07-06T01:38:43Z https://erddap.gml.noaa.gov/tabledap/ozone_o3_remote_sensing_discrete.das";
    String infoUrl "https://gml.noaa.gov/aftp/data/ozwv/Dobson/Dobson_Readme.pdf";
    String institution "NOAA Global Monitoring Laboratory";
    String keywords "Earth Science > Atmosphere > Atmospheric Chemistry > Oxygen Compounds > Atmospheric Ozone > Total Ozone";
    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.";
    Float64 Northernmost_Northing 71.323;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.99;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "site_code, latitude, longitude";
    String summary "Ozone Remote Sensing measurements (Discrete) at 16 site(s).";
    String time_coverage_end "2026-05-29T19:57:00Z";
    String time_coverage_start "1962-07-26T18:02:00Z";
    String title "Ozone measurements: Ozone Remote Sensing (Discrete)";
    String topic_category "environment";
    Float64 Westernmost_Easting -170.56278;
  }
}

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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