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CO2 concentration with measurements meta data, with missing data.

Usage

co2_conc_missing

Format

A tibble with 668 rows and 13 variables

datetime

Datetime at which CO2 concentration was recorded.

temp_air

Air temperature inside the flux chamber in Celsius.

temp_soil

Ground temperature inside the flux chamber in Celsius.

conc

CO2 concentration in ppm.

PAR

Photosynthetically active radiation inside the chamber in micromol/s/sqm.

turfID

Unique ID of the turf in which the measurement took place.

type

Type of measurement: ecosystems respiration (ER) or net ecosystem exchange (NEE).

start

Datetime at which the measurement was started.

end

Datetime at which the measurement ended.

fluxID

Unique ID for each flux.

n_conc

Number of data point per flux.

ratio

Ratio of n_conc over length of the measurement (in seconds).

flag

Data quality flags.

Examples

co2_conc_missing
#> # A tibble: 668 × 13
#>    f_datetime          temp_air temp_soil f_conc   PAR turfID       type 
#>    <dttm>                 <dbl>     <dbl>  <dbl> <dbl> <fct>        <fct>
#>  1 2022-07-28 23:43:35       NA        NA    NA     NA 156 AN2C 156 ER   
#>  2 2022-07-28 23:45:37       NA        NA   514.    NA 156 AN2C 156 ER   
#>  3 2022-07-28 23:45:38       NA        NA   513.    NA 156 AN2C 156 ER   
#>  4 2022-07-28 23:45:39       NA        NA   513.    NA 156 AN2C 156 ER   
#>  5 2022-07-28 23:45:40       NA        NA   514.    NA 156 AN2C 156 ER   
#>  6 2022-07-28 23:45:41       NA        NA   514.    NA 156 AN2C 156 ER   
#>  7 2022-07-28 23:45:42       NA        NA   515.    NA 156 AN2C 156 ER   
#>  8 2022-07-28 23:45:43       NA        NA   515.    NA 156 AN2C 156 ER   
#>  9 2022-07-28 23:45:44       NA        NA   515.    NA 156 AN2C 156 ER   
#> 10 2022-07-28 23:45:45       NA        NA   515.    NA 156 AN2C 156 ER   
#> # ℹ 658 more rows
#> # ℹ 6 more variables: f_start <dttm>, f_end <dttm>, f_fluxID <fct>,
#> #   n_conc <dbl>, ratio <dbl>, flag <chr>