ERDDAP OSU Pytheas
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Make A Graph

Dataset Title:	EMSO-LO Western Ligurian : DOI files BathyFamily (NetCDF file in .tar.gz from 2023-09)
Institution:	MIO UMR 7294 CNRS / OSU Pytheas (Dataset ID: Emso_LO_BathyFamily_DOI2023)
Information:	Summary \| License \| Metadata \| Background \| Subset \| 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:

Minimum:

Maximum:

N Sections:

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)
and

or view the URL:
(Documentation / Bypass this form

)

[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 {
  url {
    String ioos_category "Identifier";
    String long_name "URL";
  }
  name {
    String ioos_category "Identifier";
    String long_name "File Name";
  }
  lastModified {
    String ioos_category "Time";
    String long_name "Last Modified";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  size {
    String ioos_category "Other";
    String long_name "Size";
    String units "bytes";
  }
  fileType {
    String ioos_category "Identifier";
    String long_name "File Type";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String history 
"2024-10-30T05:42:40Z (local files)
2024-10-30T05:42:40Z http://erddap.osupytheas.fr/tabledap/Emso_LO_BathyFamily_DOI2023.das";
    String infoUrl "http://www.emso-fr.org/EMSO-France";
    String institution "MIO UMR 7294 CNRS / OSU Pytheas";
    String keywords "2023, 2023-09, 7294, bathyfamily, cnrs, data, doi, emso, emso-lo, file, files, identifier, lastModified, ligurian, mio, modified, name, oregon, osu, pytheas, size, state, time, umr, university, western";
    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 "(local files)";
    String subsetVariables "fileType";
    String summary "BathyBot is an underwater robot that joined the observatory site for several years, and deployed from a structure called BathyDock. BathyBot - A benthic robot to see the invisible in the depths of the Mediterranean Sea is a remotely-operated, cabled exploration robot. It is dedicated to long-term monitoring of deep-sea environmental variables (oxygen, temperature, salinity, pressure, current - the fluorimeter data flux is available through the aquadopp data flux) as well as biology, thanks to two different cameras (images available through a citizen science project https://ocean-spy.ifremer.fr/mediterranean-spy/), various colored LEDs and a proximity imaging system (UVP-6, data available at http://ecotaxa.obs-vlfr.fr/). In particular, BathyBot will enable to see the bioluminescence emitted by marine organisms and better understand its ecological role.";
    String title "EMSO-LO Western Ligurian : DOI files BathyFamily (NetCDF file in .tar.gz from 2023-09)";
  }
}

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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