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Dataset Title:  Interpolated dataset from 2004 to 2021. Contains MLD from pre-interpolated
data. Contains good QC and Wilson et al (2019) QC.
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Institution:  SO-CHIC   (Dataset ID: SOCHIC_qc_profile_ds_2dbar)
Range: longitude = -179.99976 to 179.999°E, latitude = -78.4998 to -30.0°N, time = 2004-01-01T07:59:32Z to 2021-12-30T22:50:15Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | 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: 
Time range:    |<   -       
[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 {
  asal {
    Float32 _FillValue NaN;
    Float32 actual_range 30.16336, 38.13613;
    String long_name "Absolute Salinity";
    Float32 missing_value NaN;
    String standard_name "asal";
    String units "g/kg";
  }
  ctemp {
    Float32 _FillValue NaN;
    Float32 actual_range -2.469535, 25.00473;
    String long_name "Conservative Temperature";
    Float32 missing_value NaN;
    String standard_name "ctemp";
    String units "degrees_Celcius";
  }
  dsource {
    String long_name "Dsource";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -78.49980163574219, -30.0;
    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";
    Float64 _FillValue NaN;
    Float64 actual_range -179.999755859375, 179.999;
    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";
  }
  mld {
    Float64 _FillValue NaN;
    Float64 actual_range 1.9792146682739258, 1975.2156982421875;
    String long_name "MLD";
  }
  mlp {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 10, 1000;
    String long_name "MLP";
  }
  n_prof {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 814580;
    String long_name "N Prof";
  }
  pres {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 1000;
    String long_name "Pressure";
  }
  psal {
    Float64 _FillValue NaN;
    Float64 actual_range 30.01898193359375, 37.957;
    String long_name "Psal";
    Float64 missing_value NaN;
  }
  rho {
    Float32 _FillValue NaN;
    Float32 actual_range 1020.851, 1029.991;
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String long_name "In-situ Density";
    Float32 missing_value NaN;
    String standard_name "rho";
    String units "kg/m^-3";
  }
  temp {
    Float64 _FillValue NaN;
    Float64 actual_range -2.4730000528506935, 24.999000549316406;
    String long_name "Temperature";
    Float64 missing_value NaN;
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.072943972e+9, 1.640904615e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    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";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String description "Interpolated dataset from 2004 to 2021. Contains MLD from pre-interpolated data. Contains good QC and Wilson et al (2019) QC.";
    String DOI "https://zenodo.org/records/10258138";
    Float64 Easternmost_Easting 179.999;
    String featureType "Point";
    Float64 geospatial_lat_max -30.0;
    Float64 geospatial_lat_min -78.49980163574219;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.999;
    Float64 geospatial_lon_min -179.999755859375;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-09-08T02:50:04Z (local files)
2024-09-08T02:50:04Z https://erddap.sochic-h2020.eu/tabledap/SOCHIC_qc_profile_ds_2dbar.das";
    String infoUrl "https://zenodo.org/records/10258138";
    String institution "SO-CHIC";
    String keywords "absolute, asal, conservative, contains, control, ctemp, data, dataset, density, dsource, good, in-situ, interpolated, latitude, longitude, mld, mlp, n_prof, pre, pre-interpolated, pres, pressure, prof, psal, quality, rho, salinity, situ, temperature, time, wilson";
    String license "CC-BY";
    Float64 Northernmost_Northing -30.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -78.49980163574219;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "~600,000 CTD hydrographic profiles from 45°S across the circumpolar Southern Ocean from 2004-2021, including Argo, MEOP, SOCCOM, and WOD18 data (ship-based CTD and gliders). Includes data only flagged as good and under ice.";
    String time_coverage_end "2021-12-30T22:50:15Z";
    String time_coverage_start "2004-01-01T07:59:32Z";
    String title "Interpolated dataset from 2004 to 2021. Contains MLD from pre-interpolated data. Contains good QC and Wilson et al (2019) QC.";
    Float64 Westernmost_Easting -179.999755859375;
  }
}

 

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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