Italian Arctic Data Center - ERDDAP
Easier access to scientific data

Make A Graph

Dataset Title:	2020 NAIS at Gruvebadet.
Institution:	University of Helsinki (Dataset ID: 630670b7-1580-40c5-a44d-a8bf1cdb830b)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

diameter

specify just 1 value →

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

)

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5778368e+9, 1.6094589e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String timezone "utc";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  diameter {
    Float64 _FillValue NaN;
    Float64 actual_range 8.02879995e-10, 4.15526991e-8;
    String long_name "Diameter";
  }
  neg_ions {
    Float64 _FillValue NaN;
    String description "Negative ion number-size distribution (dN/dlogDp)";
    String long_name "Neg Ions";
    String standard_name "number_size_distribution_of_aerosol_particles_in_air";
    String units "cm-3";
  }
  pos_ions {
    Float64 _FillValue NaN;
    String description "Positive ion number-size distribution (dN/dlogDp)";
    String long_name "Pos Ions";
    String standard_name "number_size_distribution_of_aerosol_particles_in_air";
    String units "cm-3";
  }
  neg_particles {
    Float64 _FillValue NaN;
    String description "Negative particle number-size distribution (dN/dlogDp)";
    String long_name "Neg Particles";
    String standard_name "number_size_distribution_of_aerosol_particles_in_air";
    String units "cm-3";
  }
  pos_particles {
    Float64 _FillValue NaN;
    String description "Positive particle number-size distribution (dN/dlogDp)";
    String long_name "Pos Particles";
    String standard_name "number_size_distribution_of_aerosol_particles_in_air";
    String units "cm-3";
  }
  temperature {
    Float64 _FillValue NaN;
    String colorBarMaximum "313.0";
    String colorBarMinimum "263.0";
    String description "Sample air temperature at the inlet";
    String long_name "Temperature";
    String standard_name "air_temperature";
    String units "K";
  }
  pressure {
    Float64 _FillValue NaN;
    String description "Sample air pressure at the inlet";
    String long_name "Pressure";
    String standard_name "air_pressure";
    String units "Pa";
  }
  relhum {
    Float64 _FillValue NaN;
    String colorBarMaximum "100.0";
    String colorBarMinimum "0.0";
    String description "Sample air relative humidity at the inlet";
    String long_name "Relative Humidity";
    String standard_name "relative_humidity";
    String units "%";
  }
  sample_flow {
    Float64 _FillValue NaN;
    String description "Flow rate at the outlet";
    String long_name "Sample Flow";
    String standard_name "baseflow_amount";
    String units "L/min";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contributor_email "matthew.boyer@helsinki.fi";
    String contributor_institution "University of Helsinki";
    String contributor_name "Matthew Boyer";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String convert_to_standard_conditions "True";
    String creator_email "matthew.boyer@helsinki.fi";
    String creator_name "Matthew Boyer";
    String date_processed "2025-11-19";
    String description "NAIS at Gruvebadet";
    String dilution_on "False";
    String do_inlet_loss_correction "True";
    String do_wagner_ion_mode_correction "True";
    String fill_flowrate "None";
    String fill_pressure "99150.0";
    String fill_temperature "273.0";
    String history 
"2025-11-26T12:30:00Z: Processed data submitted
2026-01-08T10:11:35Z (local files)
2026-01-08T10:11:35Z https://data.iadc.cnr.it/griddap/630670b7-1580-40c5-a44d-a8bf1cdb830b.das";
    String id "NAIS";
    String infoUrl "https://www.helsinki.fi/en/researchgroups/polar-and-arctic-atmospheric-research";
    String inlet_length "1.0";
    String institution "University of Helsinki";
    String instrument_model "NAIS-4-9";
    String keywords "atmosphere, atmospheric, data, diameter, earth, Earth Science > Atmosphere > Atmospheric Water Vapor > Humidity, flow, gruvebadet, humidity, ions, local, nais, neg, neg_ions, neg_particles, particles, pos, pos_ions, pos_particles, pressure, relative, relative_humidity, relhum, sample, sample_flow, science, source, temperature, time, vapor, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String latitude "78.92136";
    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 longitude "11.86587";
    String measurement_location "Ny Alesund, Svalbard, Norway";
    String nais_processor_version "0.1.8";
    String publisher_name "Italian Arctic Data Center";
    String publisher_type "group";
    String publisher_url "https://iadc.cnr.it";
    String remove_corona_ions "True";
    String resolution "5min";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "2020 NAIS at Gruvebadet.";
    String time_coverage_end "2020-12-31T23:55:00Z";
    String time_coverage_start "2020-01-01T00:00:00Z";
    String title "2020 NAIS at Gruvebadet.";
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes 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.

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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