NOAA PolarWatch ERDDAP
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ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Polarwatch ERDDAP Data Usage Subscribe RSS
Institution:  NOAA/CoastWatch/PolarWatch, NOAA /WFSC/ERD   (Dataset ID: polarwatch_erddap_stats_monthly)
Range: time = 2021-02-15T12:00:00Z to 2023-02-15T12:00:00Z
Information:  Summary ? | License ? | Metadata | Background | Subset | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")
 
Graph Settings
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
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Time range:    |<   -       
[The graph you specified. Please be patient.]

 

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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  dataset_id {
    String ioos_category "Identifier";
    String long_name "ERDDAP Dataset ID";
  }
  data_volume {
    Float64 _FillValue -999;
    Float64 actual_range 0, 73211;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume";
    String units "Mb";
  }
  requests {
    Int32 _FillValue 2147483647;
    Int32 actual_range 5, 314848;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Data";
  }
  nc_req {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 8467;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Data in NetCDF Format";
  }
  dods_req {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 158;
    String ioos_category "Unknown";
    String long_name "Monthly OpenDAP Requests";
  }
  text_req {
    Int32 _FillValue 2147483647;
    Int32 actual_range 2, 269945;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Data in Text Format";
  }
  metadata_req {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 1194;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Metadata";
  }
  graph_req {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 53416;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Graphic";
  }
  json_req {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 28981;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Data in JSON Format";
  }
  mat_req {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 7;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Data in MATLAB Format";
  }
  images_req {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 1501;
    String ioos_category "Unknown";
    String long_name "Monthly Requests for Images";
  }
  other_req {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 0;
    String ioos_category "Unknown";
    String long_name "Monthly Requests Data in Other Formats";
  }
  nc_size {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 25131406378;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume in NetCDF Format";
  }
  dods_size {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 79029552;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume in OpenDAP Format";
  }
  text_size {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 51802, 45459878607;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume in Text Format";
  }
  metadata_size {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 5339339;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume for Metadata";
  }
  graph_size {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 1770879393;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume for Graphics";
  }
  json_size {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 2279546601;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume in JSON Format";
  }
  mat_size {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 33238946;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume in MATLAB Format";
  }
  images_size {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 38830352;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume for Images";
  }
  other_size {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 0;
    String ioos_category "Unknown";
    String long_name "Monthly Data Volume for Other Format";
  }
  unique_visitors {
    Int16 _FillValue -999;
    Int16 actual_range 309, 369;
    String ioos_category "Unknown";
    String long_name "Unique Monthly Visitors to this ERDDAP";
  }
  time_epoch {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1613419200, 1676491200;
    String ioos_category "Time";
    String long_name "Time in Seconds Since Jan 1, 1970";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6133904e+9, 1.6764624e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String source_name "time_iso";
    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";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String history 
"2024-10-13T20:07:52Z (local files)
2024-10-13T20:07:52Z https://polarwatch.noaa.gov/tabledap/polarwatch_erddap_stats_monthly.das";
    String infoUrl "https://polarwatch.noaa.gov/erddap/";
    String institution "NOAA/CoastWatch/PolarWatch, NOAA /WFSC/ERD";
    String keywords "data, dods, dods_req, dods_size, epoch, file, file_size, graph, graph_req, graph_size, identifier, images, images_req, images_size, iso, json, json_req, json_size, local, mat, mat_req, mat_size, metadata, metadata_req, metadata_size, meteorology, nc_req, nc_size, other_req, other_size, req, requests, size, source, text, text_req, text_size, time, time_epoch, unique, unique_visitors, visitors";
    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 "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "dataset_id";
    String summary "Data from a local source.";
    String testOutOfDate "now-99days";
    String time_coverage_end "2023-02-15T12:00:00Z";
    String time_coverage_start "2021-02-15T12:00:00Z";
    String title "Polarwatch ERDDAP Data Usage";
  }
}

 

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.

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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