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ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Canadian Arctic 2018 gridT and icemod NEMO 3.6, LIM2 and BLINGv0+DIC data Subscribe RSS
Institution:  Centre for Earth Observation Science - University of Manitoba   (Dataset ID: baysys_model_data_8640_d52d_9c42)
Information:  Summary ? | License ? | Metadata | Background (external link) | Subset | Data Access Form | Files
 
Graph Type:  ?
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-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:
(Documentation / Bypass this form ? )
    [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 {
  url {
    String ioos_category "Identifier";
    String long_name "URL";
  }
  name {
    String ioos_category "Identifier";
    String long_name "File Name";
  }
  lastModified {
    String ioos_category "Time";
    String long_name "Last Modified";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  size {
    String ioos_category "Other";
    String long_name "Size";
    String units "bytes";
  }
  fileType {
    String ioos_category "Identifier";
    String long_name "File Type";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Data_collection_end_date "2020-01-01";
    String Data_collection_start_date "2018-01-01";
    String Dataset_Author_1 "Myers, Paul G.";
    String Dataset_Author_2 "Deschepper, Inge";
    String Dataset_Author_Affiliation_1 "Centre for Earth Observation Science - University of Manitoba";
    String Dataset_Author_Affiliation_2 "Universite Laval";
    String Dataset_Author_Email_1 "pmyers@ualberta.ca";
    String Dataset_Author_Email_2 "inge.deschepper.1@ulaval.ca";
    String Dataset_Maintenance_&_Update_Frequency "Not planned";
    String Dataset_Status "Complete";
    String Dataset_Version "None";
    String history 
"2024-06-14T15:44:02Z https://canwin-datahub.ad.umanitoba.ca/data/dataset/2018-gridt-and-icemod-data/resource/c11b959a-c5de-4646-bd90-ff17618064ca
2024-06-14T15:44:02Z http://CanWINerddap.ad.umanitoba.ca/tabledap/baysys_model_data_8640_d52d_9c42.das";
    String infoUrl "https://canwin-datahub.ad.umanitoba.ca/data/dataset/2018-gridt-and-icemod-data";
    String institution "Centre for Earth Observation Science - University of Manitoba";
    String Keywords_1 "Biogeochemistry";
    String Keywords_2 "Hudson Bay Complex";
    String Keywords_3 "Modeling";
    String keywords_vocabulary "Polar Data Catalogue";
    String license "Creative Commons Attribution 4.0 International";
    String Research_Area "hudson-bay";
    String sourceUrl "https://canwin-datahub.ad.umanitoba.ca/data/dataset/2018-gridt-and-icemod-data/resource/c11b959a-c5de-4646-bd90-ff17618064ca";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "fileType";
    String summary "The data is modelled oceanographic, sea-ice, and biogeochemical variables run with two CMIP5 climate forcings, MRI and MIROC5. The data is within four files. Two gridT files that hold the physical oceanographic and biogeochemical outputs from NEMO 3.6 and BLINGv0+DIC and two icemod files that hold the sea-ice variables calculated with LIM2.";
    String title "Canadian Arctic 2018 gridT and icemod NEMO 3.6, LIM2 and BLINGv0+DIC data";
    String Type "dataset";
  }
}

 

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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