This function return data.frame with info about sensors

mc_info(data)

Arguments

data

myClim object see myClim-package

Value

data.frame with columns:

  • locality_id - when provided by user then locality ID, when not provided identical with serial number

  • serial_number - serial number of logger when provided or automatically detected from file name or header

  • sensor_id - original sensor id (e.g.,"GDD", "HOBO_T" ,"TMS_T1", "TMS_T2")

  • sensor_name - original sensor id if not modified, if renamed then new name (e.g.,"GDD5", "HOBO_T_mean" ,"TMS_T1_max", "my_sensor01")

  • start_date - the oldest record on the sensor

  • end_date - the newest record on the sensor

  • step_seconds - time step of records series (seconds)

  • period - time step of records series (text)

  • min_value - minimal recorded values

  • max_value - maximal recorded value

  • count_values - number of non NA records

  • count_na - number of NA records

Examples

mc_info(mc_data_example_agg)
#>    locality_id serial_number  sensor_id sensor_name          start_date
#> 1        A1E05          <NA>   Thermo_T    Thermo_T 2020-10-28 08:45:00
#> 2        A1E05          <NA>   Dendro_T    Dendro_T 2020-10-28 08:45:00
#> 3        A1E05          <NA> Dendro_raw  Dendro_raw 2020-10-28 08:45:00
#> 4        A2E32          <NA>     TMS_T1      TMS_T1 2020-10-09 08:00:00
#> 5        A2E32          <NA>     TMS_T2      TMS_T2 2020-10-09 08:00:00
#> 6        A2E32          <NA>     TMS_T3      TMS_T3 2020-10-09 08:00:00
#> 7        A2E32          <NA>  TMS_moist   TMS_moist 2020-10-09 08:00:00
#> 8        A2E32          <NA>     HOBO_T      HOBO_T 2020-10-09 08:00:00
#> 9        A2E32          <NA>    HOBO_RH     HOBO_RH 2020-10-09 08:00:00
#> 10       A6W79          <NA>     TMS_T1      TMS_T1 2020-10-06 09:00:00
#> 11       A6W79          <NA>     TMS_T2      TMS_T2 2020-10-06 09:00:00
#> 12       A6W79          <NA>     TMS_T3      TMS_T3 2020-10-06 09:00:00
#> 13       A6W79          <NA>  TMS_moist   TMS_moist 2020-10-06 09:00:00
#>      end_date step_seconds period min_value max_value count_values count_na
#> 1  2021-02-01          900 15 min   -9.7500   15.8750         9182        0
#> 2  2021-02-01          900 15 min   -8.6250   14.6875         8881      301
#> 3  2021-02-01          900 15 min 7623.0000 8061.0000         8881      301
#> 4  2021-02-01          900 15 min    2.6250   11.0000        10344      665
#> 5  2021-02-01          900 15 min   -0.8750   12.8125        10344      665
#> 6  2021-02-01          900 15 min   -9.3750   14.7500        10344      665
#> 7  2021-02-01          900 15 min 1996.0000 2578.0000        10344      665
#> 8  2021-02-01          900 15 min   -7.1220   17.9860        11009        0
#> 9  2021-02-01          900 15 min   60.2250  100.0000        11009        0
#> 10 2021-02-01          900 15 min    1.6875   12.2500        11293        0
#> 11 2021-02-01          900 15 min   -1.5625   14.0000        11293        0
#> 12 2021-02-01          900 15 min   -7.8125   15.1875        11293        0
#> 13 2021-02-01          900 15 min 1257.0000 2844.0000        11293        0