Make A Graph

Dataset Title:	NAUTILOS - Carbonate pH HONEYWELL - NIVA - test
Institution:	NIVA (Dataset ID: carbonate_pH_HONEYWELL_niva_test)
Range:	time = 2023-05-15T10:44:15Z to 2023-05-16T13:38:03Z
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:

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(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 {
  a_time {
    String long_name "\"time\"";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.684147455e+9, 1.684244283e+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 units "seconds since 1970-01-01T00:00:00Z";
  }
  a_V_isfet {
    Float32 actual_range -0.11689, 0.24931;
    String long_name "\"V Isfet\"";
  }
  a_pH {
    Float32 actual_range 4.59259, 11.4337;
    String long_name "\"P H\"";
  }
  a_V_temp {
    Float32 actual_range -0.21375, 0.2042;
    String long_name "\"V Temp\"";
  }
  a_R_temp {
    Float32 actual_range 5417.0, 33251.0;
    String long_name "\"R Temp\"";
  }
  a_Temp {
    Float32 actual_range -3.766, 36.097;
    String long_name "\"Temp\"";
  }
  a_T_cal {
    Float32 actual_range 9.11, 31.985;
    String long_name "\"T Cal\"";
  }
  a_pH_tris_cal {
    Float32 actual_range 4.558, 11.094;
    String long_name "\"p H Tris Cal\"";
  }
  a_pH_tris_cal2 {
    Float32 actual_range 4.535, 11.071;
    String long_name "\"p H Tris Cal2\"";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String history 
"2024-11-23T14:01:08Z (local files)
2024-11-23T14:01:08Z http://data-nautilos-h2020.eu/tabledap/carbonate_pH_HONEYWELL_niva_test.das";
    String infoUrl "https://nautilos-h2020.eu/";
    String institution "NIVA";
    String keywords "a_pH, a_pH_tris_cal, a_pH_tris_cal2, a_R_temp, a_T_cal, a_Temp, a_time, a_V_isfet, a_V_temp, cal, cal2, data, isfet, local, source, temperature, time, tris, v";
    String license "CC-BY 4.0";
    String naming_authority "NAUTILOS";
    String project_code "NAUTILOS";
    String Project_DOI "https://doi.org/10.3030/101000825";
    String project_edmerp "13720";
    String project_id "101000825";
    String project_name "New Approach to Underwater Technologies for Innovative, Low-cost Ocean obServation";
    String project_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";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "NAUTILOS - Carbonate pH HONEYWELL - NIVA - test";
    String time_coverage_end "2023-05-16T13:38:03Z";
    String time_coverage_start "2023-05-15T10:44:15Z";
    String title "NAUTILOS - Carbonate pH HONEYWELL - NIVA - test";
  }
}

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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