ERDDAP > tabledap > Make A Graph

Dataset Title:	Great Lakes Average Surface Water Temperature, Daily
Institution:	NOAA GLERL   (Dataset ID: glerlAvgTemp)
Range:	time = 1994-10-25 to 2015-12-31
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  time Superior Michigan Huron Erie Ontario St_Clair Y Axis:  time Superior Michigan Huron Erie Ontario St_Clair   Constraints Optional Constraint #1 Optional Constraint #2 time Superior Michigan Huron Erie Ontario St_Clair     != =~ <= >= = < >     != =~ <= >= = < > time Superior Michigan Huron Erie Ontario St_Clair     != =~ <= >= = < >     != =~ <= >= = < > time Superior Michigan Huron Erie Ontario St_Clair     != =~ <= >= = < >     != =~ <= >= = < > time Superior Michigan Huron Erie Ontario St_Clair     != =~ <= >= = < >     != =~ <= >= = < > time Superior Michigan Huron Erie Ontario St_Clair     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean (" time Superior Michigan Huron Erie Ontario St_Clair time Superior Michigan Huron Erie Ontario St_Clair time Superior Michigan Huron Erie Ontario St_Clair time Superior Michigan Huron Erie Ontario St_Clair ")   Graph Settings Color:  Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Time range:  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 second(s) minute(s) hour(s) day(s) month(s) year(s)

 

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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.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 7.830432e+8, 1.45152e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Year";
    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";
  }
  Superior {
    Float32 actual_range 0.0, 20.39;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Lake Superior Surface Temperature";
    String units "degrees_C";
  }
  Michigan {
    Float32 actual_range -0.05, 25.13;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Lake Michigan Surface Temperature";
    String units "degrees_C";
  }
  Huron {
    Float32 actual_range 0.05, 22.76;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Lake Huron Surface Temperature";
    String units "degrees_C";
  }
  Erie {
    Float32 actual_range 0.04, 26.87;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Lake Erie Surface Temperature";
    String units "degrees_C";
  }
  Ontario {
    Float32 actual_range 0.18, 25.84;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Lake Ontario Surface Temperature";
    String units "degrees_C";
  }
  St_Clair {
    Float32 actual_range 0.21, 26.67;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Lake St. Clair Surface Temperature";
    String units "degrees_C";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "songzhi.liu@noaa.gov";
    String creator_name "NOAA GLERL";
    String creator_url "https://coastwatch.glerl.noaa.gov";
    String defaultDataQuery "&time>=2015-01-01&time<=2016-01-01";
    String defaultGraphQuery "time,Superior&.draw=lines&time>=2015-01-01&time<=2016-01-01";
    String history 
"2023-04-01T23:16:56Z http://coastwatch.glerl.noaa.gov/statistic/statistic.html
2023-04-01T23:16:56Z http://coastwatch.glerl.noaa.gov/tabledap/glerlAvgTemp.das";
    String infoUrl "https://coastwatch.glerl.noaa.gov/statistic/statistic.html";
    String institution "NOAA GLERL";
    String keywords "average, Clair, daily, data, day, environmental, erie, glerl, great, great lakes, huron, laboratory, lakes, michigan, noaa, ontario, research, Saint, Saint Clair, St Clair, superior, surface, temperature, time, water, year";
    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 sourceUrl "http://coastwatch.glerl.noaa.gov/statistic/statistic.html";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"Daily lake average surface water temperature from Great Lakes Surface Environmental Analysis maps.
The data from 1994 to 2002 is from the old glsea program (512x512).
The data from 2003 to this year is from the new glsea2 program (1024x1024). 
Data for Lake St. Clair is available from 2013 on.";
    String time_coverage_end "2015-12-31";
    String time_coverage_start "1994-10-25";
    String title "Great Lakes Average Surface Water Temperature, Daily";
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.