Make A Graph

Dataset Title:	Project Attributes
Institution:	OTN (Dataset ID: nodename_aat_project_attributes)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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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

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N Sections:

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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:
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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 {
  project_reference {
    String ioos_category "Identifier";
    String long_name "Project Reference";
  }
  datacenter_reference {
    String ioos_category "Identifier";
    String long_name "Datacenter Reference";
  }
  project_name {
    String ioos_category "Identifier";
    String long_name "Project Name";
  }
  project_abstract {
    String ioos_category "Unknown";
    String long_name "Project Abstract";
  }
  project_citation {
    String ioos_category "Unknown";
    String long_name "Project Citation";
  }
  project_pi {
    String ioos_category "Unknown";
    String long_name "Project PI";
  }
  project_pi_organization {
    String ioos_category "Unknown";
    String long_name "Project PI Organization";
  }
  project_pi_contact {
    String ioos_category "Unknown";
    String long_name "Project PI Contact";
  }
  project_infourl {
    String ioos_category "Unknown";
    String long_name "Project Info URL";
  }
  project_keywords {
    String ioos_category "Unknown";
    String long_name "Project Keywords";
  }
  project_keywords_vocabulary {
    String ioos_category "Unknown";
    String long_name "Project Keywords Vocabulary";
  }
  project_references {
    String ioos_category "Unknown";
    String long_name "Project References";
  }
  project_doi {
    String ioos_category "Unknown";
    String long_name "Project Digital Object Identifier";
  }
  project_license {
    String ioos_category "Unknown";
    String long_name "Project License";
  }
  project_distribution_statement {
    String ioos_category "Unknown";
    String long_name "Project Distribution Statement";
  }
  project_date_modified {
    String ioos_category "Unknown";
    String long_name "Project Date Modified";
  }
  project_datum {
    String ioos_category "Unknown";
    String long_name "Project Datum";
  }
  project_geospatial_lon_min {
    String ioos_category "Location";
    String long_name "Project Geospatial Longitude Minimum";
  }
  project_geospatial_lon_max {
    String ioos_category "Location";
    String long_name "Project Geospatial Longitude Maximum";
  }
  project_geospatial_lat_min {
    String ioos_category "Location";
    String long_name "Project Geospatial Latitude Minimum";
  }
  project_geospatial_lat_max {
    String ioos_category "Location";
    String long_name "Project Geospatial Latitude Maximum";
  }
  project_linestring {
    String ioos_category "Unknown";
    String long_name "Project Linestring";
  }
  geospatial_vertical_min {
    String ioos_category "Unknown";
    String long_name "Geospatial Vertical Minimum";
  }
  geospatial_vertical_max {
    String ioos_category "Unknown";
    String long_name "Geospatial Vertical Maximum";
  }
  geospatial_vertical_positive {
    String ioos_category "Unknown";
    String long_name "Geospatial Vertical Positive";
  }
  project_time_coverage_start {
    String ioos_category "Unknown";
    String long_name "Project Time Coverage Start";
  }
  project_time_coverage_end {
    String ioos_category "Unknown";
    String long_name "Project Time Coverage End";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "???";
    String history 
"2024-11-14T19:39:36Z (source database)
2024-11-14T19:39:36Z http://erddap.factnetwork.secoora.org:80/tabledap/nodename_aat_project_attributes.das";
    String infoUrl "http://www.oceantrackingnetwork.org/";
    String institution "OTN";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String sourceUrl "(source database)";
    String summary "Project Attributes.";
    String title "Project Attributes";
  }
}

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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