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Dataset Title:	ISFET pH data from Ferrybox on Helsinki-Travemünde route.
Institution:	NIVA, SYKE (Dataset ID: carbonate_pH_memosens_niva_syke)
Range:	longitude = 10.90038 to 25.22366°E, latitude = 53.9683 to 60.21079°N, time = 2024-01-22T10:40:19Z to 2024-04-30T23:59:56Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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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 1.705920019e+9, 1.714521596e+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";
  }
  pH_pH {
    Float32 actual_range 3.94, 9.05;
    String long_name "P H P H";
  }
  Temperature_degC {
    Float32 actual_range -0.46, 23.31;
    String long_name "Temperature Deg C";
  }
  RawValuePH_mV {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range -118, 115;
    String long_name "Raw Value PH M V";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 53.9683, 60.21079;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 10.90038, 25.22366;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Flow_LPM {
    Float32 actual_range -9999.0, 6.6;
    String long_name "Flow LPM";
  }
  Serial_number {
    String long_name "Serial Number";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String contributors_email "sami.kielosto@syke.fi, sabine.marty@niva.no";
    String contributors_name "Sami Kielosto, Sabine Marty";
    String contributors_orcid "0009-0003-0939-1562, 0000-0001-9568-1299";
    String contributors_role "data collector, sensor provider";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "kirjaamo@syke.fi, niva@niva.no";
    String creator_name "Finnish Environment Institute (SYKE), Norwegian Institute for Water Research (NIVA)";
    String creator_type "Institution";
    String creator_url "https://www.syke.fi/en-US, https://www.niva.no/en";
    Float64 Easternmost_Easting 25.22366;
    Float64 geospatial_lat_max 60.21079;
    Float64 geospatial_lat_min 53.9683;
    String geospatial_lat_resolution "0,00009";
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 25.22366;
    Float64 geospatial_lon_min 10.90038;
    String geospatial_lon_resolution "0,00018";
    String geospatial_lon_units "degrees_east";
    String geospatial_vertical_max "5";
    String geospatial_vertical_min "4";
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "meters";
    String history 
"2024-11-23T14:18:18Z (local files)
2024-11-23T14:18:18Z http://data-nautilos-h2020.eu/tabledap/carbonate_pH_memosens_niva_syke.das";
    String infoUrl "https://nautilos-h2020.eu/";
    String inspire "Sea regions, Environmental monitoring facilities";
    String institution "NIVA, SYKE";
    String institution_country "NOR, FI";
    String institution_edmo_code "1417, 1104";
    String institution_references "The Norwegian Institute for Water Research (NIVA) is Norway's premier research institute in the fields of water and the environment. They develop science-based knowledge and solutions to challenges related to the interaction between water and climate, the environment, nature, people, resources and society. / The Finnish Environment Institute (SYKE) is both a research institute, and a centre for environmental expertise. SYKE's research focuses on changes in the environment, and seeks ways to control these changes. Our expertise is based on long-term environmental monitoring, wide-ranging research results, and the Institute's highly-qualified staff.";
    String keywords "Marine environment monitoring, pH meters, Ships";
    String keywords_vocabulary "Global Change Master Directory (GCMD)";
    String license "CC0";
    String naming_authority "NAUTILOS";
    Float64 Northernmost_Northing 60.21079;
    String platform_type "surface vessel";
    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 ship_call_sign "OJMI";
    String ship_imo "9319466";
    String ship_name "Finnmaid";
    String source "Endress and Hauser Memosens CPS77E ISFET pH sensor connected to a Ferrybox.";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 53.9683;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "Serial_number";
    String summary "Ferrybox ISFET sensor pH data from cargo vessel \"Finnmaid\" traversing between Helsinki and Travemünde every three days.";
    String time_coverage_end "2024-04-30T23:59:56Z";
    String time_coverage_resolution "00:00:20.000";
    String time_coverage_start "2024-01-22T10:40:19Z";
    String title "ISFET pH data from Ferrybox on Helsinki-Travemünde route.";
    String variables "pH, temperature";
    Float64 Westernmost_Easting 10.90038;
  }
}

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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