National Antarctic Data Center - ERDDAP
Easier access to scientific data

Make A Graph

Dataset Title:	CATCH-O_PM10_ionic composition_since 2023
Institution:	University of Florence (Dataset ID: f02261c1-91de-419c-b1b2-04b1f3aa7891)
Range:	longitude = 123.38 to 123.38°E, latitude = 75.1 to 75.1°N, time = 2023-01-01 to 2023-12-13
Information:	Summary \| License \| FGDC \| ISO 19115 \| 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:

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:

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6725312e+9, 1.7024256e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time Start";
    String source_name "Time start";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Elapsed {
    String long_name "Elapsed";
  }
  Actual_Vol {
    Float32 _FillValue NaN;
    Float32 actual_range 17.8813, 110.115;
    String long_name "Actual Vol";
    String units "m3";
  }
  Sodio {
    Float32 _FillValue NaN;
    Float32 actual_range 0.04, 53.71;
    String long_name "Sodio";
    String standard_name "na";
    String units "ngm-3";
  }
  Ammonio {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 12.78;
    String colorBarMaximum "5.0";
    String colorBarMinimum "0.0";
    String long_name "ammonium concentration";
    String units "ngm-3";
  }
  Potassio {
    Float32 _FillValue NaN;
    Float32 actual_range 0.05, 9.77;
    String long_name "Potassio";
    String units "ngm-3";
  }
  Magnesio {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 10.57;
    String long_name "Magnesio";
    String units "ngm-3";
  }
  Calcio {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 12.14;
    String long_name "Calcio";
    String units "ngm-3";
  }
  Cloruri {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 107.61;
    String long_name "Cloruri";
    String units "ngm-3";
  }
  Nitrati {
    Float32 _FillValue NaN;
    Float32 actual_range 0.09, 64.2;
    String long_name "Nitrati";
    String units "ngm-3";
  }
  Solfati {
    Float32 _FillValue NaN;
    Float32 actual_range 0.67, 183.64;
    String long_name "Solfati";
    String units "ngm-3";
  }
  MSA {
    Float32 _FillValue NaN;
    Float32 actual_range 0.07, 7.33;
    String long_name "MSA";
    String units "ngm-3";
  }
  station_id {
    String actual_range 
"catcho_pm10_ionic_composition_2023
catcho_pm10_ionic_composition_2023";
    String cf_role "timeseries_id";
    String long_name "Id of the station in the TimeSeries";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 75.1, 75.1;
    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 123.38, 123.38;
    String axis "X";
    String ioos_category "Location";
    String long_name "longitude position of the station";
    String standard_name "longitude";
    String units "degrees_east";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id,latitude,longitude";
    String contributor_email "rita.traversi@unifi.it; silvia.becagli@unifi.it";
    String contributor_institution "University of Florence";
    String contributor_name "Rita Traversi; Silvia Becagli";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_email "rita.traversi@unifi.it";
    String creator_name "Rita Traversi";
    Float64 Easternmost_Easting 123.38;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 75.1;
    Float64 geospatial_lat_min 75.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 123.38;
    Float64 geospatial_lon_min 123.38;
    String geospatial_lon_units "degrees_east";
    String history 
"PM10 aerosol was collected on Teflon filter (PALL and/or Cobetter, both certified to have a sampling efficiency higher than 99.5% for particles of 0.3 Î¼m size) using PM10 cut-off head operating following the EN 12341 European rules (airflow: 2.3 m3/h Â± 2%; actual conditions). The sampling resolution is 48h for most of the time: namely, it is 24 h for the period Jan 1st-9th 2023, while it was shifted to 48h since Jan 17th till the rest of the year.
2026-11-01T00:28:31Z (local files)
2026-11-01T00:28:31Z https://antarcticdatacenter.cnr.it/tabledap/f02261c1-91de-419c-b1b2-04b1f3aa7891.das";
    String infoUrl "https://www.pnra.aq/it/project/596/concordia-atmospheric-chemistry-observatory";
    String institution "University of Florence";
    String keywords "actual, Actual_Vol, ammonia, Ammonio, ammonium, calcio, catch, catch-o, chemistry, cloruri, composition, concentration, data, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, elapsed, institute, ionic, magnesio, mole, mole_concentration_of_ammonium_in_sea_water, msa, nh4, nitrati, ocean, oceans, pm10, polar, potassio, science, sciences, sea, seawater, sodio, solfati, start, time, vol, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 75.1;
    String publisher_name "National Antarctic Data Center of Italy";
    String publisher_type "group";
    String publisher_url "https://iandc.pnra.aq";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 75.1;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Year-round aerosol samplings were carried out since December 2004 at Concordia Station (East Antarctic Plateau), 3233 m above sea level, 1100 km away from the nearest coast. The sampling site (ATMOS shelter) is located at the edge of the clean area approximately 700 m away from the Concordia Italian-French base.  According to the meteorological data are provided by the Italian Antarctic Weather Station (AWS) station, the sampling site is properly placed upwind to the Concordia base and the occurrence of wind blowing from the opposite side is one order of magnitude lower on a seasonal and annual basis (Traversi et al., 2014, Tellus B 66, 22550. https://doi.org/10.3402/tellusb.v66.22550.).";
    String time_coverage_end "2023-12-13";
    String time_coverage_start "2023-01-01";
    String title "CATCH-O_PM10_ionic composition_since 2023";
    Float64 Westernmost_Easting 123.38;
  }
}

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 2.31.1
Disclaimers | Privacy Policy | Contact