Make A Graph

Dataset Title:	Detection Extracts
Institution:	Ocean Tracking Network (Dataset ID: detection_extracts)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Graph Type:

X Axis:

Y Axis:

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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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N Sections:

Draw land mask:

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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 {
  unqdetecid {
    String ioos_category "Unknown";
    String long_name "Unqdetecid";
  }
  collectioncode {
    String ioos_category "Unknown";
    String long_name "Collectioncode";
  }
  detectedby {
    String ioos_category "Unknown";
    String long_name "Detectedby";
  }
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Datecollected";
    String source_name "datecollected";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    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";
    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";
  }
  uncertainty_in_latitude {
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Quality";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  uncertainty_in_longitude {
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Quality";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  tagname {
    String ioos_category "Unknown";
    String long_name "Tagname";
  }
  codespace {
    String ioos_category "Unknown";
    String long_name "Codespace";
  }
  st_setsrid_4326 {
    String ioos_category "Unknown";
    String long_name "St Setsrid 4326";
  }
  yearcollected {
    String ioos_category "Time";
    String long_name "Yearcollected";
  }
  monthcollected {
    String ioos_category "Time";
    String long_name "Monthcollected";
  }
  daycollected {
    String ioos_category "Time";
    String long_name "Daycollected";
  }
  timeofday {
    String ioos_category "Time";
    String long_name "Timeofday";
  }
  timezone {
    String ioos_category "Time";
    String long_name "Timezone";
  }
  julianday {
    String ioos_category "Unknown";
    String long_name "Julianday";
  }
  sensorvalue {
    String ioos_category "Unknown";
    String long_name "Sensorvalue";
  }
  sensorunit {
    String ioos_category "Unknown";
    String long_name "Sensorunit";
  }
  sensortype {
    String ioos_category "Unknown";
    String long_name "Sensortype";
  }
  sensorname {
    String ioos_category "Unknown";
    String long_name "Sensorname";
  }
  sensorraw {
    String ioos_category "Unknown";
    String long_name "Sensorraw";
  }
  notes {
    String ioos_category "Unknown";
    String long_name "Notes";
  }
  datelastmodified {
    String ioos_category "Time";
    String long_name "Datelastmodified";
  }
  catalognumber {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Catalognumber";
  }
  scientificname {
    String ioos_category "Taxonomy";
    String long_name "Scientificname";
  }
  commonname {
    String ioos_category "Taxonomy";
    String long_name "Commonname";
  }
  station {
    String ioos_category "Identifier";
    String long_name "Station";
  }
  receiver {
    String ioos_category "Unknown";
    String long_name "Receiver";
  }
  receiver_group {
    String ioos_category "Unknown";
    String long_name "Receiver Group";
  }
  receiver_depth {
    String ioos_category "Location";
    String long_name "Receiver Depth";
  }
  bottom_depth {
    String ioos_category "Location";
    String long_name "Bottom Depth";
  }
  datereleasedtagger {
    String ioos_category "Time";
    String long_name "Datereleasedtagger";
  }
  datereleasedpublic {
    String ioos_category "Time";
    String long_name "Datereleasedpublic";
  }
  local_area {
    String ioos_category "Unknown";
    String long_name "Local Area";
  }
  citation {
    String ioos_category "Unknown";
    String long_name "Citation";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Ocean Tracking Network";
    String featureType "Point";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-14T07:24:35Z (source database)
2024-11-14T07:24:35Z https://members.oceantrack.org/tabledap/detection_extracts.das";
    String infoUrl "???";
    String institution "Ocean Tracking Network";
    String keywords "area, bottom, bottom_depth, catalognumber, citation, codespace, collectioncode, commonname, data, datecollected, datelastmodified, datereleasedpublic, datereleasedtagger, daycollected, depth, detectedby, detection, extracts, group, identifier, julianday, latitude, local, local_area, longitude, monthcollected, network, notes, ocean, quality, receiver, receiver_depth, receiver_group, scientificname, sensorname, sensorraw, sensortype, sensorunit, sensorvalue, setsrid, st_setsrid_4326, station, statistics, tagname, taxonomy, time, timeofday, timezone, tracking, uncertainty_in_latitude, uncertainty_in_longitude, unqdetecid, yearcollected";
    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 standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Detection Extracts. Ocean Tracking Network data from a local source.";
    String title "Detection Extracts";
  }
}

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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