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Dataset Title:	Cafe 2018 Archival Data
Institution:	Hopkins Marine Station of Stanford University (Dataset ID: Cafe2018Archival)
Range:	longitude = -148.1 to -116.931274°E, latitude = 15.4954 to 42.5°N, altitude = -40.0 to 2007.5m, time = 2004-11-06T00:00:00Z to 2018-05-06T20:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| 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()

(" ")

Graph Settings

Marker Type:

Size:

Color:

Color Bar:

Continuity:

Scale:

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N Sections:

Draw land mask:

Y Axis Minimum:

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Ascending:

(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:
(Documentation / Bypass this form

)

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 {
  eventid {
    Int32 _ChunkSizes 522008;
    Int32 actual_range 190400800, 191707900;
    String cf_role "trajectory_id";
    String ioos_category "Identifier";
    String long_name "Event ID";
  }
  time {
    Int32 _ChunkSizes 522008;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0996992e+9, 1.5256368000000033e+9;
    String axis "T";
    String cf_role "profile_id";
    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";
  }
  latitude {
    Int32 _ChunkSizes 522008;
    String _CoordinateAxisType "Lat";
    Float64 actual_range 15.4954, 42.5;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    Int32 _ChunkSizes 522008;
    String _CoordinateAxisType "Lon";
    Float64 actual_range -148.1, -116.93127400721276;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  temperature {
    Int32 _ChunkSizes 522008;
    Float64 actual_range 3.1000001, 25.799999;
    String ioos_category "Temperature";
    String long_name "Profile Temperature";
  }
  altitude {
    Int32 _ChunkSizes 522008;
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 actual range 0.0, 0.0;
    Float32 actual_range -40.0, 2007.5;
    String axis "Z";
    String ioos_category "Location";
    String long name "Altitude";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TrajectoryProfile";
    String cdm_profile_variables "time,longitude,latitude,altitude,temperature";
    String cdm_trajectory_variables "eventid";
    Float64 Easternmost_Easting -116.93127400721276;
    String featureType "TrajectoryProfile";
    Float64 geospatial_lat_max 42.5;
    Float64 geospatial_lat_min 15.4954;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -116.93127400721276;
    Float64 geospatial_lon_min -148.1;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2007.5;
    Float64 geospatial_vertical_min -40.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"2026-04-02T12:50:43Z (local files)
2026-04-02T12:50:43Z http://mola.stanford.edu/tabledap/Cafe2018Archival.das";
    String infoUrl "http://whitesharkcafe.org/";
    String institution "Hopkins Marine Station of Stanford University";
    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.";
    Float64 Northernmost_Northing 42.5;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 15.4954;
    String summary "Archival tag data for 2018 Cafe cruise";
    String time_coverage_end "2018-05-06T20:00:00Z";
    String time_coverage_start "2004-11-06T00:00:00Z";
    String title "Cafe 2018 Archival Data";
    Float64 Westernmost_Easting -148.1;
  }
}

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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