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Dataset Title:  Rhone : Suivi des eaux du panache du Rhone en zone cotiere (Netcdf files) Subscribe RSS
Institution:  MIO UMR7294 CNRS   (Dataset ID: Rhone_STPS_918a_9052_8a7e)
Range: longitude = 4.9244 to 5.161°E, latitude = 43.199 to 43.341°N, time = 2012-10-25T09:11:00Z to 2019-10-28T15:14:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
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.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.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: 
Draw land mask: 
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 ? )
    Click on the map to specify a new center point. ?
Zoom: 
[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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  station_name {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station Name";
  }
  station {
    String ioos_category "Identifier";
    String long_name "station";
    String standard_name "platform_name";
    String units "string";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 43.199, 43.341;
    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";
    Float32 actual_range 4.9244, 5.161;
    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";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.35115626e+9, 1.57227564e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "datetime";
    String origin "01-JAN-1990 00:00:00";
    String source_name "datetime";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  temperature {
    Float32 _FillValue NaN;
    Float32 actual_range -999.99, 29.5;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "temperature";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Salinite {
    Float32 _FillValue NaN;
    Float32 actual_range -999.99, 40.48;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Salinite";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_name,latitude,longitude";
    String contact "patrick.raimbault@mio.osupytheas.fr";
    String contributor_name 
"maurice.libes@osupytheas.fr, fabrice.garcia@mio.osupytheas.fr
contributor_role=raw data conversion, and data formating in NetCDF\"";
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String creator_email "patrick.raimbault@mio.osupytheas.fr";
    String creator_name "Patrick Raimbault";
    String creator_type "person";
    String creator_url "https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/79c421c5-9335-4957-88fa-804fb4ae4b43";
    String defaultGraphQuery "longitude%2Clatitude%2Ctemperature&time>2018-01-01T&time<2019-01-01T&.draw=Markers&.marker=5|5";
    String doi "https://doi.org/10.34930/79C421C5-9335-4957-88FA-804FB4AE4B43";
    Float64 Easternmost_Easting 5.161;
    String featureType "TimeSeries";
    String featuretype "timeseries";
    Float64 geospatial_lat_max 43.341;
    Float64 geospatial_lat_min 43.199;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 5.161;
    Float64 geospatial_lon_min 4.9244;
    String geospatial_lon_units "degrees_east";
    String history 
"Mesures automatisees a frequence horaire de la temperature et de la salinite de surface. Les donnees sont acquises sur le delta du Rhone avec Sonde STPS (NKE)
2024-12-07T20:49:03Z (local files)
2024-12-07T20:49:03Z http://erddap.osupytheas.fr/tabledap/Rhone_STPS_918a_9052_8a7e.das";
    String infoUrl "https://dataset.osupytheas.fr/geonetwork/srv/fre/catalog.search#/metadata/79c421c5-9335-4957-88fa-804fb4ae4b43";
    String institution "MIO UMR7294 CNRS";
    String keywords "cnrs, cotiere, data, density, des, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Salinity/Density > Salinity, eaux, files, identifier, latitude, longitude, mio, name, ocean, oceans, osu pytheas, panache, platform, platform_name, practical, rhone, salinite, salinity, science, sea, sea_water_practical_salinity, sea_water_temperature, seawater, station, station_name, suivi, temperature, time, umr, umr7294, water, zone";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "The data may be used and redistributed for free but is not intended for legal use. These are raw and uncorrected data and  may contain inaccuracies. Neither the data Contributor, OSU Pytheas, CNRS, nor the French 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 43.341;
    String project "Rhone : Suivi des eaux du panache du Rhone en zone cotiere";
    String request_for_aknowledgement "If you use these data in publications or presentation, please acknowledge patrick.raimbault@osupytheas.fr (of OSU Pytheas).  Also, we would appreciate receiving a preprint and/or reprint of publications using the data for inclusion in our bibliography. Relevant publications should be sent to: patrick.raimbault@mio.osupytheas.fr MIO UMR 7294 CNRS, Campus de Luminy 13288 Marseille cedex9";
    String source "MIO UMR 7294 CNRS";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.199;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "station_name, station, latitude, longitude";
    String summary "Rhone : Suivi des eaux du panache du Rhone en zone cotiere. Suivi des eaux du Rhone en zone cotiere par mesure haute frequence de la temperature et de la salinite de surface";
    String time_coverage_end "2019-10-28T15:14:00Z";
    String time_coverage_start "2012-10-25T09:11:00Z";
    String title "Rhone : Suivi des eaux du panache du Rhone en zone cotiere (Netcdf files)";
    Float64 Westernmost_Easting 4.9244;
  }
}

 

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.

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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