Make A Graph

Dataset Title:	NAUTILOS - Phytoplancton sampler manual references sampler - NIVA - Test
Institution:	NIVA (Dataset ID: pps-reference_niva_test)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:

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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

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(Please be patient. It may take a while to get the data.)

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[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 {
  sample {
    String long_name "Sample";
  }
  group {
    String long_name "Group";
  }
  filter {
    String long_name "Filter";
  }
  Cq {
    Float64 actual_range 12.6540286184694, 14.1255393425908;
    String long_name "CQ";
  }
  inverse_qtresh {
    Float64 actual_range 0.07079375702029567, 0.07902621608903533;
    String long_name "Inverse Qtresh";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String contributors_email "sabine.marty@niva.no; oeyvind.tangen.oedegaard@niva.no; anette.engesmo@niva.no; elianne.egge@niva.no";
    String contributors_name "Sabine Marty; ∅yvind Tangen ∅degaard; Anette Engesmo; Elianne Egge";
    String contributors_orcid "0000-0001-9568-1299; 0009-0003-1729-3356; 0000-0003-0162-2015; 0000-0001-5790-6426";
    String contributors_role "Senior Engineer; Senior Engineer; Scientist; Scientist";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "post@niva.no";
    String creator_name "Norwegian Institute for Water Research (NIVA)";
    String creator_type "Institution";
    String creator_url "https://www.niva.no/en";
    String geospatial_lat_max "59.8740287134473";
    String geospatial_lat_min "54.4565002122481";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_max "10.645404251869";
    String geospatial_lon_min "10.2471377161496";
    String geospatial_lon_units "degrees_east";
    String history 
"2025-04-18T19:23:50Z (local files)
2025-04-18T19:23:50Z https://data-nautilos-h2020.eu/tabledap/pps-reference_niva_test.das";
    String infoUrl "https://nautilos-h2020.eu/";
    String institution "NIVA";
    String institution_country "1417";
    String institution_edmo_code "NOR";
    String keywords "Biological Sampling, In Situ/Laboratory Instruments";
    String keywords_vocabulary "https://www.earthdata.nasa.gov/data/tools/idn/gcmd-keyword-viewer";
    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 sensor_nautilos "Microplastic Sampler - NIVA";
    String source "Sampler for phytoplankton and suspended matter";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The test objective was to evaluate integration and autonomous operation of the phytoplankton and suspended matter filter sampler as part of the FerryBox system on ships of opportunity. The sampling test was conducted on board Color Fantasy on the route Oslo (Norway) to Kiel (Germany) and samples were analyzed in NIVA's lab in Oslo.";
    String time_coverage_end "2023-12-06T00:00:00Z";
    String time_coverage_start "2023-12-05T00:00:00Z";
    String title "NAUTILOS - Phytoplancton sampler manual references sampler - NIVA - Test";
    String variables "Sample, group, Cq, inverse_qtresh";
  }
}

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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