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Dataset Title:  Main datasets of "Unraveling Arctic organic aerosol sources: a year-long study
by H-NMR and AMS in Ny-Ålesund, Svalbard"
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Institution:  Italian National Research Council - Institute of Atmospheric Sciences and Climate (CNR-ISAC)   (Dataset ID: amspmf)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 url ?              
 name (File Name) ?              
 lastModified (UTC) ?          2025-02-14T15:47:10Z    2025-02-14T15:52:56Z
 size (bytes) ?          465254    1273569
 fileType ?              
 
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.Hover here to see a list of options. Click on an option to select it.")

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 {
 s {
  url {
    String ioos_category "Identifier";
    String long_name "URL";
  }
  name {
    String ioos_category "Identifier";
    String long_name "File Name";
  }
  lastModified {
    String ioos_category "Time";
    String long_name "Last Modified";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  size {
    String ioos_category "Other";
    String long_name "Size";
    String units "bytes";
  }
  fileType {
    String ioos_category "Identifier";
    String long_name "File Type";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String contributor_email "m.paglione@isac.cnr.it";
    String contributor_institution "Italian National Research Council - Institute of Atmospheric Sciences and Climate (CNR-ISAC)";
    String contributor_name "Marco Paglione";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "m.paglione@isac.cnr.it";
    String creator_name "Marco Paglione";
    String creator_url "https://www.isac.cnr.it/en/users/marco-paglione";
    String history 
".
2025-03-04T20:46:44Z (local files)
2025-03-04T20:46:44Z https://data.iadc.cnr.it/erddap/tabledap/amspmf.html";
    String infoUrl "https://metadata.iadc.cnr.it/geonetwork/srv/api/records/0e110925-1f3d-4013-b048-e5a47ca3be6f";
    String institution "Italian National Research Council - Institute of Atmospheric Sciences and Climate (CNR-ISAC)";
    String license "CC-BY 4.0";
    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 "Work-sheets: 1) AMS_PMF-Contributions: reporting the contributions of the factors resulting from the Positive Matrix Factorization (PMF) of HR-TOF-AMS spectral dataset: \t\t- contributions to the total WSOM, expressed in ��g m-3 and ��gC m-3 \t\t- contributions to the total OC, after multilinear regression, expressed in  ��gC m-3 & % (before and after splitting Marine OA in marine POA and SOA based on what reported in the paper) 2) AMS_PMF-Profiles: \t- reporting the spectral profiles of the factors resulting from the Factor analyses (PMF) of HR-AMS dataset, expressed in ��g m-3 \t- the original spectra (eliminating all the isotope ions and the inorganic fragments from the quantified ions) are subtracted by the blanks mean 3) AMS_PMF_Raw_input: \t-  reporting the input matrixes used for the Positive Matrix Factorization (PMF) factor analysis using ME algorithm \t- are reported both the data matrix (named \"Data\") and the uncertainty matrix (\"Err\", necessary to run the PMF using the ME2 algorithm) \t- Uncertainty/error matrix was prepared following the error propagation approach by Daellenbach et al., 2016.";
    String title "Main datasets of \"Unraveling Arctic organic aerosol sources: a year-long study by H-NMR and AMS in Ny-Ålesund, Svalbard\"";
  }
}

 

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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