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Dataset Title:	Ground temperature at FEN_SHLW, Scotty Creek Research Station, Northwest Territories
Institution:	Wilfred Laurier University (Dataset ID: 2019-007-FEN_SHLW)
Range:	longitude = -121.3083 to -121.3083°E, latitude = 61.3082 to 61.3082°N, depth = 0.05 to 1.0m, time = 2012-08-01T03:00:00Z to 2017-01-30T01:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form

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Graph Type:

X Axis:

Y Axis:

Color:

Constraints

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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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Color Bar:

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N Sections:

Draw land mask:

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Then set the File Type: (File Type information)
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or view the URL:
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Click on the map to specify a new center point.

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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 {
  project_name {
    String ioos_category "Identifier";
    String long_name "Project Name";
  }
  site_id {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Site Id";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 61.3082, 61.3082;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -121.3083, -121.3083;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.34379e+9, 1.485738e+9;
    String axis "T";
    String cf_role "profile_id";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.05, 1.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  soil_temperature {
    Float32 _FillValue NaN;
    Float32 actual_range -29.858, 41.123;
    String ioos_category "Temperature";
    String long_name "Ground Temperature";
    String standard_name "soil_temperature";
    String units "degree_Celsius";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeriesProfile";
    String cdm_profile_variables "time";
    String cdm_timeseries_variables "site_id,latitude,longitude";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Ryan Connon, William Quinton";
    Float64 Easternmost_Easting -121.3083;
    String featureType "TimeSeriesProfile";
    Float64 geospatial_lat_max 61.3082;
    Float64 geospatial_lat_min 61.3082;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -121.3083;
    Float64 geospatial_lon_min -121.3083;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1.0;
    Float64 geospatial_vertical_min 0.05;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-27T14:34:45Z (local files)
2024-04-27T14:34:45Z http://data.permafrostnet.ca/tabledap/2019-007-FEN_SHLW.das";
    String id "2019-007-FEN_SHLW";
    String infoUrl "http://webapps.nwtgeoscience.ca/WebAppsV2/Searching/ReferenceSearch.aspx?Ref=2019-007";
    String institution "Wilfred Laurier University";
    String keywords "latitude, longitude, measurements, permafrost, sensor, sensors, soil, soil_temperature, soils, station, station_name, surface, system, temperature, time";
    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.";
    String naming_authority "ca.nwtgeoscience";
    Float64 Northernmost_Northing 61.3082;
    String platform_name "FEN_SHLW";
    String project "Scotty Creek Research Site";
    String publisher_email "NTGS@gov.nt.ca";
    String publisher_name "Northwest Territories Geological Survey";
    String publisher_url "https://www.nwtgeoscience.ca/";
    String references "NTGS Open Report 2019-07";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 61.3082;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "project_name, site_id, latitude, longitude, depth";
    String summary "This dataset is a part of a compilation of ground temperature data recorded at the Scotty Creek Research Station, Northwest Territories (NWT) since the inception of the research site in 2001. Meteorological data (four components: radiation, air temperature, relative humidity, and wind speed) can be provided by the author (William Quinton). Ground heat flux, soil moisture, soil thaw, precipitation and snow survey data have been collected at the site continuously since 2001.";
    String time_coverage_end "2017-01-30T01:00:00Z";
    String time_coverage_start "2012-08-01T03:00:00Z";
    String title "Ground temperature at FEN_SHLW, Scotty Creek Research Station, Northwest Territories";
    Float64 Westernmost_Easting -121.3083;
  }
}

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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