Make A Graph

Dataset Title:	NAUTILOS - DM - Collection of pH and Temperature data collected from CEiiA's ASV
Institution:	CEiiA-Portugal/NIVA (Dataset ID: ASV_pH_test)
Range:	longitude = -8.709143 to 25.283102°E, latitude = 35.334927 to 41.186516°N, time = 2023-09-06T12:41:32Z to 2023-10-25T09:44:53Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| 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:

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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)
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or view the URL:
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Click on the map to specify a new center point.

Zoom:

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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 {
  PLATFORMCODE {
    String long_name "Platform code";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.694004092e+9, 1.698227093e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Timestamp";
    String source_name "timestamp";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 35.33492759557435, 41.18651579581242;
    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";
    Float64 actual_range -8.709142373784012, 25.28310198756782;
    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";
  }
  PHPH {
    Float32 actual_range 7.568, 8.112;
    Float64 colorBarMaximum 9.0;
    Float64 colorBarMinimum 7.0;
    String long_name "Sea Water pH Reported On Total Scale";
    String SDN "SDN:P01::PHXXZZXX";
    String standard_name "sea_water_ph_reported_on_total_scale";
  }
  TEMP {
    Float32 actual_range 14.96, 23.39;
    String long_name "sea temperature";
    String SDN "SDN:P01::TEMPPR01";
    String units "degree_Celsius";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String citation "Data provided from CEiiA (Portugal) ASV Platform";
    String contributors_email "catarina.lemos@ceiia.com, sabine.marty@niva.no";
    String contributors_name "Catarina Lemos, Sabine Marty";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "ceiia@ceiia.com";
    String creator_name "CEiiA";
    String creator_type "Institution";
    String creator_url "www.ceiia.com";
    String data_assembly_center "CEiiA - Portugal";
    Float64 Easternmost_Easting 25.28310198756782;
    String featureType "Point";
    Float64 geospatial_lat_max 41.18651579581242;
    Float64 geospatial_lat_min 35.33492759557435;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 25.28310198756782;
    Float64 geospatial_lon_min -8.709142373784012;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-23T13:53:39Z (local files)
2024-11-23T13:53:39Z http://data-nautilos-h2020.eu/tabledap/ASV_pH_test.das";
    String infoUrl "https://nautilos-h2020.eu/";
    String inspire "Environmental monitoring facilities, Oceanographic geographical features, Sea regions";
    String institution "CEiiA-Portugal/NIVA";
    String institution_country "PRT, NOR";
    String institution_edmo_code "NA, 1417";
    String institution_references "CEiiA is an engineering and product development centre that designs, develops and productizes new technologies, products and services towards a more sustainable society. From Portugal, we work by bridging together cities, industries and universities around product development programs in high-tech sectors such as Mobility, Aeronautics, Space and Ocean. 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.";
    String keywords "chemistry, data, earth, Ocean Chemistry, Oceans, pH";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC-BY 4.0";
    String naming_authority "NAUTILOS";
    Float64 Northernmost_Northing 41.18651579581242;
    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 references "Datasets presented are direct measure from integrated sensors in the scope of NAUTILOS missions.";
    String source "Data provided from CEiiA (Portugal) ASV platform. Datasets presented are direct measure from integrated sensors in the scope of NAUTILOS missions.";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 35.33492759557435;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "DM - Collection of pH and Temperature data collected from ASV";
    String time_coverage_end "2023-10-25T09:44:53Z";
    String time_coverage_start "2023-09-06T12:41:32Z";
    String title "NAUTILOS - DM - Collection of pH and Temperature data collected from CEiiA's ASV";
    String variables "PLATFORMCODE";
    Float64 Westernmost_Easting -8.709142373784012;
  }
}

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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