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Dataset Title:  Monthly mean aerosol number concentrations in 2 size bins Subscribe RSS
Institution:  Institute of Polar Sciences   (Dataset ID: 92cc6d0f-8ab6-438c-b38b-d549a01cc12b)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 sizes (count) ?      2    1.0 (even)
  < slider >
 time2 (Time) ?      24    4.826087 (uneven)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 obs_num_mon ?
 obs_num_mon_std ?

File type: (more information)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  sizes {
    Int32 actual_range 0, 1;
    String long_name "Index of the size bins";
    String units "count";
  }
  time2 {
    Int32 actual_range 201801, 201912;
    String long_name "Time";
    String standard_name "time";
  }
  obs_num_mon {
    Float32 _FillValue 9.96921e+36;
    String average_op_ncl "dim_avg_n function was applied";
    String colorBarMaximum "100.0";
    String colorBarMinimum "0.0";
    String long_name "Monthly averaged observed aerosol number concentrations at two size bins (0: 0.2-1 um; 1: >1 um)";
    String unit "std/cm3";
  }
  obs_num_mon_std {
    Float32 _FillValue 9.96921e+36;
    String colorBarMaximum "100.0";
    String colorBarMinimum "0.0";
    String long_name "Monthly standard deviation for observed aerosol number concentrations at two size bins (0: 0.2-1 um; 1: >1 um)";
    String stddev_op_ncl "dim_stddev_n function was applied";
    String unit "std/cm3";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contributor_email "mauro.mazzola@cnr.it";
    String contributor_institution "Institute of Polar Sciences";
    String contributor_name "Mauro Mazzola";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "mauro.mazzola@cnr.it";
    String creator_name "Mauro Mazzola";
    String history 
"This dataset contains monthly averaged aerosol number concentrations and standard deviations derived from the PSD dataset in two size bins (0.2 - 1 µm and > 1 µm).
2026-01-09T12:34:05Z (local files)
2026-01-09T12:34:05Z https://data.iadc.cnr.it/erddap/griddap/92cc6d0f-8ab6-438c-b38b-d549a01cc12b.das";
    String infoUrl "https://iadc.cnr.it";
    String institution "Institute of Polar Sciences";
    String keywords "0.2-1, aerosol, averaged, bins, concentrations, data, deviation, local, month, monthly, number, obs_num_mon, obs_num_mon_std, observed, size, sizes, source, standard, time, two";
    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 publisher_name "Italian Arctic Data Center";
    String publisher_type "group";
    String publisher_url "https://iadc.cnr.it";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset contains monthly averaged aerosol number concentrations and standard deviations derived from the PSD dataset in two size bins (0.2 - 1 µm and > 1 µm).";
    String title "Monthly mean aerosol number concentrations in 2 size bins";
  }
}

 

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection 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.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


 
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