Data Access Form

Dataset Title:	Argo, Profile Classification Model, North-Atlantic, Temperature
Institution:	Ifremer/LOPS (Dataset ID: PCM-Argo)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Make a graph

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Variable	Minimum	Maximum
latitude (degrees_north)	0.0	64.998

longitude (degrees_east)	0.0	359.9981

time (UTC)	1999-07-01T04:46:00Z	2014-12-06T17:52:00Z

POST	0.0	1.0
ACTI	0.0	11.150572457549963
MODELPDF (Model PDF for the dataset)	0.0	1.0451002053986036
LABEL (ID of the most probable class)	1.0	8.0
ROBUST	0.2444831739700093	1.0

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.0, 64.998;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude of the station, best estimate";
    String name "latitude";
    String references "WGS84";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.0, 359.9981;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude of the station, best estimate";
    String name "longitude";
    String references "WGS84";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 360.0;
    Float64 valid_min 0.0;
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 9.3080436e+8, 1.41788832e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time of the station, best estimate";
    String name "time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  POST {
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.0, 1.0;
    Float64 colorBarMaximum 1.5;
    Float64 colorBarMinimum 0.0;
    String comments "Probability of a class given the dataset";
    String long_name "Probability of a profile to be in a class";
    String name "POSTERIOR";
    String properties "sum(POSTERIORS) = 1 & 0 < POSTERIORS < 1";
    Float64 valid_max 1.0;
    Float64 valid_min 0.0;
  }
  ACTI {
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.0, 11.150572457549963;
    Float64 colorBarMaximum 1.5;
    Float64 colorBarMinimum 0.0;
    String comments "Probability of the dataset given a class";
    String long_name "Gaussian value of profiles for a class";
    String name "ACTIVATION";
    Float64 valid_max 1.0;
    Float64 valid_min 0.0;
  }
  MODELPDF {
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.0, 1.0451002053986036;
    Float64 colorBarMaximum 1.5;
    Float64 colorBarMinimum 0.0;
    String comments "PRIORS weighted sum of ACTIVATION values";
    String long_name "Model PDF for the dataset";
    String name "Model PDF";
    Float64 valid_max 1.0;
    Float64 valid_min 0.0;
  }
  LABEL {
    Float64 _FillValue -9999.0;
    Float64 actual_range 1.0, 8.0;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comments "Class number maximizing the POSTERIOR value of a profile";
    String long_name "ID of the most probable class";
    String name "Attributed class";
    Float64 valid_max 8.0;
    Float64 valid_min 1.0;
  }
  ROBUST {
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.2444831739700093, 1.0;
    Float64 colorBarMaximum 1.5;
    Float64 colorBarMinimum 0.0;
    String comments "Re-scaling of the probability of a profile to be in a class (POST)";
    String long_name "Labeling metric for the attributed class";
    String name "Labeling metric";
    Float64 valid_max 1.0;
    Float64 valid_min 0.0;
  }
 }
  NC_GLOBAL {
    String author "Guillaume Maze";
    String cdm_data_type "Point";
    String contact "gmaze@ifremer.fr";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String Conventions_help "http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.6/cf-conventions.html";
    String CreatedBy "gmaze";
    String CreationDate "2016/12/09 09:23:37";
    String creator_email "gmaze@ifremer.fr";
    String creator_name "GMAZE";
    String creator_type "institution";
    String creator_url "https://wwz.ifremer.fr/";
    Float64 Easternmost_Easting 359.9981;
    String featureType "Point";
    Float64 geospatial_lat_max 64.998;
    Float64 geospatial_lat_min 0.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.9981;
    Float64 geospatial_lon_min 0.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-21T15:53:18Z (local files)
2024-12-21T15:53:18Z https://erddap.ifremer.fr/erddap/tabledap/PCM-Argo.html";
    String infoUrl "https://wwz.ifremer.fr/";
    String institution "Ifremer/LOPS";
    String keywords "ACTI, array, array-data, attributed, best, class, comprehensive, data, dataset, estimate, exploitation, francais, gaussian, ifremer, ifremer/lops, institut, LABEL, labeling, large, latitude, longitude, lops, mer, metric, model, MODELPDF, most, pcm, pdf, POST, pour, probability, probable, profile, profiles, recherche, results, ROBUST, station, stewardship, system, time, value";
    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 long_title "Profile Classification Model results for North Atlantic Argo temperature data";
    Float64 Northernmost_Northing 64.998;
    String PCM_model "Argo - North Atlantic - Config: [Var=99.91%;nPCs=11;scaling=none;norm=1;K=8;covar=full];[-1405.0/0.0]m";
    String references "Maze et al., Prog. Oc., 2017, in press";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 0.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "PCM results. Ifremer/LOPS data from a local source.";
    String time_coverage_end "2014-12-06T17:52:00Z";
    String time_coverage_start "1999-07-01T04:46:00Z";
    String title "Argo, Profile Classification Model, North-Atlantic, Temperature";
    Float64 Westernmost_Easting 0.0;
  }
}

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.