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Dataset Title:  Equivalent black carbon from aerosol absorption coefficient Subscribe RSS
Institution:  CNR-ISP   (Dataset ID: ebc_2010_2020)
Range: longitude = 11.895 to 11.895°E, latitude = 78.918 to 78.918°N, time = 2010-03-14T01:00:00Z to 2020-12-30T23:00:00Z
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.")
 
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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
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    Click on the map to specify a new center point. ?
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[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 cf_role "timeseries_id";
    String long_name "Name of the station where the data were measured";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 11.895, 11.895;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 78.918, 78.918;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.2685284e+9, 1.6093692e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Date and time of the measurement";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Equivalent_black_carbon {
    Float64 _FillValue NaN;
    Float64 actual_range -174.0, 1116.0;
    String long_name "Equivalent black carbon";
    String units "ng/m^3";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id,latitude,longitude";
    String Conventions "ACDD-1.3, COARDS, CF-1.6";
    String creator_email "stefania.gilardoni@cnr.it";
    String creator_name "Stefania Gilardoni";
    String creator_type "person";
    String creator_url "https://metadata.iadc.cnr.it/geonetwork/srv/eng/catalog.search#/metadata/ee3fb49e-c3e2-4572-95b8-1e7ff6361ac5";
    Float64 Easternmost_Easting 11.895;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 78.918;
    Float64 geospatial_lat_min 78.918;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 11.895;
    Float64 geospatial_lon_min 11.895;
    String geospatial_lon_units "degrees_east";
    String history 
"Absorption data are corrected according to Virkkula et al., 2010 using scattering coefficient at 530 nm. Absorption and scattering coefficient are calculated at standard temperature and pressure. Equivalent black carbon is calculated using absorption coefficient at 660nm and MAC equal to 10 m^2/g.
2024-06-24T04:37:34Z (local files)
2024-06-24T04:37:34Z https://data.iadc.cnr.it/tabledap/ebc_2010_2020.das";
    String infoUrl "https://metadata.iadc.cnr.it/geonetwork/srv/eng/catalog.search#/metadata/ee3fb49e-c3e2-4572-95b8-1e7ff6361ac5";
    String institution "CNR-ISP";
    String keywords "absorption, aerosol, black, carbon, cnr, cnr-isp, coefficient, council, data, equivalent, isp, national, research";
    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.";
    String license_url "https://spdx.org/licenses/CC-BY-4.0.html";
    Float64 Northernmost_Northing 78.918;
    String project_URL "https://iadc.cnr.it";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 78.918;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Equivalent black carbon from aerosol absorption coefficient at 660nm measured using a Particle Soot Absorption Photometer (PSAP), manufactured by Radiance Research. MAC equal to 10 m^2/g.";
    String time_coverage_end "2020-12-30T23:00:00Z";
    String time_coverage_start "2010-03-14T01:00:00Z";
    String title "Equivalent black carbon from aerosol absorption coefficient";
    Float64 Westernmost_Easting 11.895;
  }
}

 

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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