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Make A Graph

Dataset Title:	ULB data from a local source.
Institution:	ULB (Dataset ID: SSP585_FWF_1990_2300)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

quantile (count)

time2 (years)

specify just 1 value →

basin (count)

specify just 1 value →

Graph Settings

Marker Type:

Size:

Color:

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:

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 {
  quantile {
    Int32 actual_range 0, 4;
    String long_name "Quantile";
    String units "count";
  }
  time2 {
    Float32 actual_range 1990.0, 2300.0;
    String long_name "Time";
    String standard_name "time";
    String units "years";
  }
  basin {
    Int16 actual_range 0, 26;
    String long_name "Basin";
    String units "count";
  }
  Net_Mass_Balance {
    String long_name "Net Mass Balance";
    String standard_name "net_mass_balance";
    String units "Gt/yr";
  }
  Surface_Mass_Balance_Fluxes {
    String long_name "SMB";
    String standard_name "smb";
    String units "Gt/yr";
  }
  Sub_Shelf_Melt_Fluxes {
    String long_name "Sub Shelf Melt";
    String standard_name "sub_shelf_melt";
    String units "Gt/yr";
  }
  Calving_Fluxes {
    String long_name "Calving";
    String standard_name "calving";
    String units "Gt/yr";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contact "violaine.coulon@ulb.be";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_email "violaine.coulon@ulb.be";
    String creator_name "Violaine Coulon";
    String creator_type "person";
    String history 
"2025-01-18T05:12:07Z (local files)
2025-01-18T05:12:07Z https://er1.s4oceanice.eu/griddap/SSP585_FWF_1990_2300.das";
    String info "Kori-ULB, Laboratoire de Glaciologie, Université Libre de Bruxelles, Brussels, BE";
    String infoUrl "???";
    String institution "ULB";
    String keywords "balance, basin, calving, Calving_Fluxes, data, local, mass, melt, net, net_mass_balance, quantile, shelf, smb, source, sub, Sub-Shelf_Melt_Fluxes, sub_shelf_melt, Surface_Mass_Balance_Fluxes, time, ulb";
    String license "CC-BY4.0";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "ULB data from a local source.";
    String title "ULB data from a local source.";
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its projection 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. It makes 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.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.

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