Simple demonstration datasets taken from the CEN technical specification

These two datasets contain dummy data outlined in Annex G of Ambient Air — Definition and use of modelling quality objectives for air quality assessment. These data are mostly useful for demonstrating mqor functionality for teaching and learning purposes. demo_shortterm should be used with mqo_params(term = "short") and demo_longterm with mqo_params(term = "long"). Note that demo_shortterm only has 5 rows of data for expedience; real datasets should have periodic data representing a whole year at least.

Usage

demo_shortterm

demo_longterm

Format

An object of class tbl_df (inherits from tbl, data.frame) with 75 rows and 6 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 15 rows and 6 columns.

Source

Ambient Air — Definition and use of modelling quality objectives for air quality assessment (TC 264 WI 00264248:2025(E))

Details

site

Site identifiers; S1 through S15.

type

Site type; all are 'fixed' butcould also be 'indicative'.

param

The pollutant (in this case "PM10")

date

The datetime of the measurement. An integer in demo_longterm, and a Date in demo_shortterm.

obs

Observed (measured) values.

mod

Modelled values.

See also

demo_files()

Examples

demo_shortterm
#> # A tibble: 75 × 6
#>    site  type  param date         obs   mod
#>    <chr> <chr> <chr> <date>     <dbl> <dbl>
#>  1 S1    fixed PM10  2025-01-01    24    48
#>  2 S1    fixed PM10  2025-01-02    35    47
#>  3 S1    fixed PM10  2025-01-03    44    39
#>  4 S1    fixed PM10  2025-01-04    38    37
#>  5 S1    fixed PM10  2025-01-05    31    42
#>  6 S2    fixed PM10  2025-01-01    37    36
#>  7 S2    fixed PM10  2025-01-02    45    49
#>  8 S2    fixed PM10  2025-01-03    53    61
#>  9 S2    fixed PM10  2025-01-04    49    53
#> 10 S2    fixed PM10  2025-01-05    38    44
#> # ℹ 65 more rows
demo_longterm
#> # A tibble: 15 × 6
#>    site  type  param  date   obs   mod
#>    <chr> <chr> <chr> <dbl> <dbl> <dbl>
#>  1 S1    fixed PM10   2025  34.4  42.6
#>  2 S2    fixed PM10   2025  44.4  48.6
#>  3 S3    fixed PM10   2025  53.6  59.6
#>  4 S4    fixed PM10   2025  44.8  44.8
#>  5 S5    fixed PM10   2025  16.2  13.2
#>  6 S6    fixed PM10   2025  40.2  36.2
#>  7 S7    fixed PM10   2025  37.8  43.4
#>  8 S8    fixed PM10   2025  40.6  38.8
#>  9 S9    fixed PM10   2025  27.4  28.8
#> 10 S10   fixed PM10   2025  21.6  19.8
#> 11 S11   fixed PM10   2025  15    24.6
#> 12 S12   fixed PM10   2025  47.8  37.4
#> 13 S13   fixed PM10   2025  42.2  50.8
#> 14 S14   fixed PM10   2025  36.4  45.6
#> 15 S15   fixed PM10   2025  31    35