Italian Arctic Data Center - ERDDAP
Easier access to scientific data

Make A Graph

Dataset Title:	Main datasets of "Unraveling Arctic organic aerosol sources: a year-long study by H-NMR and AMS in Ny-Ålesund, Svalbard"
Institution:	Italian National Research Council - Institute of Atmospheric Sciences and Climate (CNR-ISAC) (Dataset ID: amspmf)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:

X Axis:

Y Axis:

Color:

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.

Graph Settings

Marker Type:

Size:

Color:

Color Bar:

Continuity:

Scale:

Minimum:

Maximum:

N Sections:

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

)

[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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

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 
".
2025-03-04T20:33:36Z (local files)
2025-03-04T20:33:36Z https://data.iadc.cnr.it/tabledap/amspmf.das";
    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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.

ERDDAP, Version 2.24
Disclaimers | Privacy Policy | Contact