CO2 concnetration
conc_poster.RdCO2 concentration used to make the plot in the poster
Format
A tibble with 530 rows and 11 variables
- datetime
Datetime at which CO2 concentration was recorded.
- f_conc
CO2 concentration in ppm.
- f_start
Datetime at which the measurement was started.
- f_fluxID
Unique ID for each flux.
- f_cut
Indicating if the measurement should be kept (keep) or discarded (cut).
- f_b
b parameter of the C(t) function, calculated by optim() with b_est as starting point.
- f_fit
C(t), modeled CO2 concentration as a function of time.
- fit_slope
Output of linear model of CO2 concentration passing by C(tz) and a slope of slope_tz.
- f_cor_coef
coefficient of correlation between gas concentration and time
- f_RMSE
RMSE of the exponential fit and the measured data
- f_quality_flag
quality flag advising if the slope has to be replaced by 0 or NA
Examples
conc_poster
#> # A tibble: 530 × 11
#> f_datetime f_conc f_fluxID f_quality_flag f_start f_RMSE
#> <dttm> <dbl> <fct> <chr> <dttm> <dbl>
#> 1 2020-07-17 16:49:55 460. 37 discard 2020-07-17 16:49:55 26.1
#> 2 2020-07-17 16:49:56 519. 37 discard 2020-07-17 16:49:55 26.1
#> 3 2020-07-17 16:49:57 509. 37 discard 2020-07-17 16:49:55 26.1
#> 4 2020-07-17 16:49:58 471. 37 discard 2020-07-17 16:49:55 26.1
#> 5 2020-07-17 16:49:59 446. 37 discard 2020-07-17 16:49:55 26.1
#> 6 2020-07-17 16:50:00 431. 37 discard 2020-07-17 16:49:55 26.1
#> 7 2020-07-17 16:50:01 424. 37 discard 2020-07-17 16:49:55 26.1
#> 8 2020-07-17 16:50:02 420. 37 discard 2020-07-17 16:49:55 26.1
#> 9 2020-07-17 16:50:03 419. 37 discard 2020-07-17 16:49:55 26.1
#> 10 2020-07-17 16:50:04 417. 37 discard 2020-07-17 16:49:55 26.1
#> # ℹ 520 more rows
#> # ℹ 5 more variables: f_cor_coef <dbl>, f_b <dbl>, f_cut <fct>, f_fit <dbl>,
#> # f_fit_slope <dbl>