Make A Graph

Dataset Title:	NAUTILOS - Marine Litter - NAUTILOS Summer School 2023
Institution:	NAUTILOS (Dataset ID: nautilos_summer_school_2023)
Range:	longitude = 10.69335 to 10.69335°E, latitude = 59.88979 to 59.88979°N, time = 2023-09-06 to 2023-09-06
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| 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:

Draw land mask:

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

)

Click on the map to specify a new center point.

Zoom:

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6939584e+9, 1.6939584e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 59.88979, 59.88979;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 10.693346, 10.693346;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  type {
    String long_name "Type";
  }
  number {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 170;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Number";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 10.69335;
    String EDMERP_code "13720";
    String funding_ID "101000825";
    String funding_statement "This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825 (NAUTILOS). This output reflects only the author's view and the European Union cannot be held responsible for any use that may be made of the information contained therein";
    Float64 geospatial_lat_max 59.88979;
    Float64 geospatial_lat_min 59.88979;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 10.69335;
    Float64 geospatial_lon_min 10.69335;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-23T14:30:35Z (local files)
2024-11-23T14:30:35Z http://data-nautilos-h2020.eu/tabledap/nautilos_summer_school_2023.das";
    String infoUrl "https://www.nautilos-h2020.eu/";
    String institution "NAUTILOS";
    String keywords "marine litter";
    String license "CC-BY";
    Float64 Northernmost_Northing 59.88979;
    String Project_DOI "https://doi.org/10.3030/101000825";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 59.88979;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "time";
    String summary "Marine litter collected during the NAUTILOS Summer School beach clena up experience";
    String testOutOfDate "now-12days";
    String time_coverage_end "2023-09-06";
    String time_coverage_start "2023-09-06";
    String title "NAUTILOS - Marine Litter - NAUTILOS Summer School 2023";
    Float64 Westernmost_Easting 10.69335;
  }
}

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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