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ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Climate Change Tower Soil Temperature Data (D2) Subscribe RSS
Institution:  CNR - National Research Council of Italy   (Dataset ID: cct_soil_d2)
Range: longitude = 11.86587 to 11.86587°E, latitude = 78.92136 to 78.92136°N, time = 2016-09-28T15:00:00Z to 2024-03-01T00:00:00Z
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 {
  station_id {
    String actual_range 
"cct
cct";
    String cf_role "timeseries_id";
    String long_name "Id of the station in the TimeSeries";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 78.92136, 78.92136;
    String axis "Y";
    String ioos_category "Location";
    String long_name "latitude position of the station";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 11.86587, 11.86587;
    String axis "X";
    String ioos_category "Location";
    String long_name "longitude position of the station";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4750748e+9, 1.7092512e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Mean Date";
    String source_name "mean_date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Soil_temperature_average_at_5cm {
    Float32 actual_range -19.552, 16.145;
    String long_name "average of soil temperature at 5 cm under the surface";
    String standard_name "soil_temperature";
    String units "degree_Celsius";
  }
  Soil_temperature_standard_deviation_at_5cm {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2.448;
    String long_name "standard deviation of soil temperature at 5 cm under the surface";
    String standard_name "soil_temperature";
    String units "degree_Celsius";
  }
  Soil_temperature_n_values_at_5cm {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0, 30.0;
    String long_name "number of measurements every 30 minutes of soil temperature at 5 cm under the surface";
    String standard_name "soil_temperature";
  }
  Soil_temperature_average_at_10cm {
    Float32 actual_range -18.557, 15.138;
    String long_name "average of soil temperature at 10 cm under the surface";
    String standard_name "soil_temperature";
    String units "degree_Celsius";
  }
  Soil_temperature_standard_deviation_at_10cm {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.596;
    String long_name "standard deviation of soil temperature at 10 cm under the surface";
    String standard_name "soil_temperature";
    String units "degree_Celsius";
  }
  Soil_temperature_n_values_at_10cm {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0, 30.0;
    String long_name "number of measurements every 30 minutes of soil temperature at 10 cm under the surface";
    String standard_name "soil_temperature";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id,latitude,longitude";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 11.86587;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 78.92136;
    Float64 geospatial_lat_min 78.92136;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 11.86587;
    Float64 geospatial_lon_min 11.86587;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-29T12:07:11Z (local files)
2024-04-29T12:07:11Z https://data.iadc.cnr.it/tabledap/cct_soil_d2.das";
    String infoUrl "http://iadc.cnr.it";
    String institution "CNR - National Research Council of Italy";
    String keywords "SOIL TEMPERATURE";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC BY-NC: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.";
    Float64 Northernmost_Northing 78.92136;
    String platform "cct_tower";
    String project "Climate Change Tower Integrated Project (CCT-IP)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 78.92136;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The Climate Change Tower Integrated Project (CCT-IP) represents the guide lines of the italian research in the arctic and aims to study the interaction between all the components of the climate system in the Arctic. The  Amundsen-Nobile Climate Change Tower (CCT) is the key infrastructure of the project, and provides continuous acquisition of the atmospheric parameters at different heights as well as at the interface between the surface and the atmosphere.";
    String time_coverage_end "2024-03-01T00:00:00Z";
    String time_coverage_start "2016-09-28T15:00:00Z";
    String title "Climate Change Tower Soil Temperature Data (D2)";
    Float64 Westernmost_Easting 11.86587;
  }
}

 

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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