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Dataset Title:	NOAA HydroMet KGYX
Institution:	NOAA NWS (Dataset ID: NWS_Hydromet_GYX)
Range:	longitude = -70.80925 to -68.85746°E, latitude = 42.897755 to 44.60086°N, time = 2024-12-28T21:00:00Z to 2024-12-31T19:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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Server-side Functions

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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 {
  site_id {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Site ID";
  }
  site_name {
    String ioos_category "Identifier";
    String long_name "Site Name";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -70.809253, -68.857463;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 42.897756, 44.600859;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7354196e+9, 1.7356716e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String source_name "time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  navd_88_meters {
    Float64 actual_range -1.792, 2.03888;
    String ioos_category "Sea Level";
    String long_name "NAVD 88 Meters";
    String standard_name "sea_surface_height_above_reference_ellipsoid";
    String units "meters";
  }
  mllw_meters {
    Float64 actual_range 0.0, 3.99288;
    String ioos_category "Sea Level";
    String long_name "Mean Lower Low Water Meters";
    String standard_name "tidal_sea_surface_height_above_mean_lower_low_water";
    String units "meters";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "site_id, site_name, longitude, latitude";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "gyx.webmaster@noaa.gov";
    String creator_name "NOAA National Weather Service";
    String creator_type "institution";
    String creator_url "https://weather.gov";
    Float64 Easternmost_Easting -68.857463;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 44.600859;
    Float64 geospatial_lat_min 42.897756;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -68.857463;
    Float64 geospatial_lon_min -70.809253;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-28T22:32:03Z https://weather.gov/gyx
2024-12-28T22:32:03Z http://data.neracoos.org/tabledap/NWS_Hydromet_GYX.das";
    String infoUrl "https://weather.gov/gyx";
    String institution "NOAA NWS";
    String keywords "6-minute, amplitude, co-ops, coastal, data, datum, deployment, designation, due, Earth Science > Oceans > Coastal Processes > Tidal Height, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth Science > Oceans > Tides > Tidal Height, geocentric, height, identifier, level, minute, name, noaa, nos, ocean, oceans, ops, predicted, prediction, processes, sea, sea level, sea_surface_height_amplitude_due_to_geocentric_ocean_tide, seawater, shef_id, shefID, station, surface, tidal, tide, tides, time, topography, water";
    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 44.600859;
    String publisher_email "info@neracoos.org";
    String publisher_name 
"Northeastern Regional Association of Coastal and Ocean Observing
            Systems (NERACOOS)";
    String publisher_phone "(603) 319 1785";
    String publisher_url "http://www.neracoos.org/";
    String sourceUrl "https://weather.gov/gyx";
    Float64 Southernmost_Northing 42.897756;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "site_id, site_name, longitude, latitude";
    String summary "NOAA HydroMet forecast";
    String time_coverage_end "2024-12-31T19:00:00Z";
    String time_coverage_start "2024-12-28T21:00:00Z";
    String title "NOAA HydroMet KGYX";
    Float64 Westernmost_Easting -70.809253;
  }
}

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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