Make A Graph

Dataset Title:	Particle distribution, Shannon, 2018-2019, 10km (freelitter_shannon)
Institution:	+ATLANTIC_CoLAB (Dataset ID: model_mohid_freelitter_shannon_10km_2018)
Range:	time = 2018-11-01T03:00:00Z to 2020-01-01T03:00:00Z
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:

X Axis:

Y Axis:

Color:

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.

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

)

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:

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 {
  n_particles {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 50031;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Number of particles present in each 10km grid cell at each time step";
    String ioos_category "Statistics";
    String long_name "Number of particles per grid cell";
    String standard_name "particle_count";
    String units "1";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5410412e+9, 1.5778476e+9;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  id {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 4606;
    String ioos_category "Identifier";
    String long_name "Grid cell identifier";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_name "+ATLANTIC_CoLAB";
    String creator_type "institution";
    String description "Particle distribution over the 10km grid";
    String history 
"/home/matlab/saracloux/postprocesado_maria/postprocesado_grid/Shannon_2018_2019/shapefiles_10km/particles_csv
2026-10-20T23:32:42Z (local files)
2026-10-20T23:32:42Z http://localhost:8080/tabledap/model_mohid_freelitter_shannon_10km_2018.das";
    String infoUrl "???";
    String institution "+ATLANTIC_CoLAB";
    String keywords "+atlantic, 10km, 2018-2019, cell, cell_id, colab, count, data, distribution, freelitter, grid, identifier, n_particles, number, particle, particle_count, particles, per, shannon, statistics, 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 resolution "10km";
    String river "Shannon";
    String source "/home/matlab/saracloux/postprocesado_maria/postprocesado_grid/Shannon_2018_2019/shapefiles_10km/particles_csv";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Particle distribution - Shannon - 2018-2019 - 10km. freelitter_shannon. +ATLANTIC_CoLAB data from a local source.";
    String time_coverage_end "2020-01-01T03:00:00Z";
    String time_coverage_start "2018-11-01T03:00:00Z";
    String time_step "3 hours";
    String title "Particle distribution, Shannon, 2018-2019, 10km (freelitter_shannon)";
  }
}

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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