Submitted data error checks
0. Instructions for submitters
Submitters should use this file to check for problems with submitted data. Send either a list of problems or confirmation that everything looks OK to Sasha by email. Be sure to reference the dataset version and file creation date/time when doing so. These are:
## Version: 2.47## [1] "Date/time: 2024-04-04 14:53:57.333452"Each of these html files contains a summary of the data from a single submitted spreadsheet file. The html name is based on the name of the submitted file. Use the details below to check:
- Institute abbreviation, submitter and contributor names
- The plot location(s), using the map zoom and pan features if needed
- For problems in the first sections; “OK” means there are no problems in a particular section, “warning” is something that should be checked (but might be OK), “error” is a problem that needs to be addressed
- For numeric values outside the expected range in the “Value checks” section
- Variables with missing values–are there any missing that you thought you included?
- Plots of flux, cumulative emission over time, and final cumulative emission for strange patterns, unexpectedly high or low values
- Plots of weather data for appropriate differences between plots and expected diurnal or other patterns
- Plots of manure and application data for correct values
Finally, the numeric summary at the end might provide details that can help in pinpointing problems, but typically does not need to be checked.
1. Submitter
| inst.abbrev | submitter | version | date |
|---|---|---|---|
| UNINA | Ester Scotto di Perta | 6 | 2021-11-02 |
2. Contributors
| contributor | institute |
|---|---|
| Stefania Pindozzi | Department of Agricultural Sciences, University of Naples, Federico II |
| Ester Scotto di Perta | Department of Agricultural Sciences, University of Naples, Federico II |
3. File and directory names
## [1] "../../data-submitted/03/UNINA"## [1] "../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx"4. Location
5.Keys and codes
Codes in Treatments sheet
## OK## OKCodes in Plots sheet
## OK## OKCodes in Emission sheet
## OK## OKCode merge check (matching project, experiment, field, plot, treatment)
## OK## OK## OK## OK## OK6. Publication info
Check for missing codes
## OK## OKComplete citations given
## OK## OK7. Emission sheet
Duplicated intervals
## OKMissing incorporation time
## OKDelay after application
## OKMissing or double interval number
## OK
## OK
## OK
## OK
## OK
## OK
## OKMissing time between intervals
## OK
## OK
## OK
## OK
## OK
## OK
## OKMeasurement method and units
Measurement technique:
| Method | Frequency |
|---|---|
| IHF | 33 |
| Wind tunnel | 82 |
Measurement technique classification:
| Classification | Frequency |
|---|---|
| micro met | 33 |
| wt | 82 |
Emission units and conversion factors.
| Original unit | Conversion factor applied | Final unit |
|---|---|---|
| kg N/ha-hr | 1 | kg N/ha-hr |
7. Value checks
Check to see if submitted values are within a reasonable range.
Weather
## wind : OK
## rain.rate : OK
## air.temp : OK
## soil.temp : No values to check.
## soil.temp.surf : No values to check.
## air.temp.z : OK
## wind.z : OKManure and application
## man.stor : No values to check.
## man.dm : OK
## man.vs : OK
## man.tkn : OK
## man.tan : OK
## man.tic : No values to check.
## man.ua : No values to check.
## man.vfa : No values to check.
## man.ph : OK
## app.rate : OK
## crop.z : OKEmission
## j.NH3 : OK
## e.int : OK
## e.rel : OK8. Missing values
Check for missing values.
All variables
## Some values missing:
## Table below has number of missing observations by variable:
## meas.tech.det soil.type soil.water soil.water.v soil.moist
## 115 115 115 115 115
## soil.dens man.trt2 man.stor man.vs man.tic
## 115 51 115 64 115
## man.ua man.vfa time.incorp man.area dist.inj
## 115 115 115 115 115
## furrow.z furrow.w crop.z crop.area lai
## 115 115 64 64 115
## notes.plot man.trt3 bg.dl pH.surf soil.temp
## 33 115 115 115 115
## soil.temp.z soil.temp.surf rad MOL ustar
## 115 115 115 115 115
## rl air.pres air.pres.unit rh wind.loc
## 115 115 115 82 82
## far.loc notes.int soil.type2 exper2 rep2
## 82 104 115 115 115Application method and measurement method
## OK## OK9. Plots
Calculated cumulative emission
Cumulative emission. Missing values imputed (linear interpolation). Numeric labels show position of data in data file: row in the “Plots” sheet and first row in the “Emission” sheet. Labels in center of the first plot have measurement method, manure source, and application method. The same emission data are plotted a few different ways to facilitate checking for problems, e.g., comparing plot to each other or checking application dates. The same colors should be be used for particular field plots throughout this section.
Final cumulative emission
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
Relative versus absolute emission
Flux
Weather data
Manure and application
10. dfsumm summary
Plot-level data
##
## 7 rows and 194 columns
## 7 unique rows
## pub.id
## Class character
## Minimum AFM19
## Maximum AFM19
## Mean <NA>
## Unique (excld. NA) 1
## Missing values 0
## Sorted TRUE
##
## cpmid
## Class character
## Minimum D:1.I:UNINA.Pr:BLD_JUL17.F:../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx.E:3-BLD_IHF.F:AC.P:1.T:3-BLD.R:1.R2:.T:2017-07-18 10:22:00.M:IHFNA
## Maximum D:1.I:UNINA.Pr:BRM_JUL16.F:../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx.E:2-BRM_WT.F:AC.P:3.T:2-BRM.R:2.R2:.T:2016-07-28 09:28:00.M:Wind tunnelNA
## Mean <NA>
## Unique (excld. NA) 7
## Missing values 0
## Sorted TRUE
##
## proj exper field plot rep plot.area
## Class character character character numeric numeric numeric
## Minimum BLD_JUL17 2-BRM_IHF AC 1 1 0.32
## Maximum BRM_JUL16 3-BLD_WT AC 4 3 1260
## Mean <NA> <NA> <NA> 2.29 1.57 359
## Unique (excld. NA) 2 4 1 4 3 2
## Missing values 0 0 0 0 0 0
## Sorted TRUE FALSE TRUE FALSE FALSE FALSE
##
## lat long country topo clay silt sand
## Class numeric numeric character character numeric numeric numeric
## Minimum 41 14.4 IT Flat 15.1 27.2 57.6
## Maximum 41 14.4 IT Flat 15.1 27.2 57.6
## Mean 41 14.4 <NA> <NA> 15.1 27.2 57.6
## Unique (excld. NA) 1 1 1 1 1 1 1
## Missing values 0 0 0 0 0 0 0
## Sorted TRUE TRUE TRUE TRUE TRUE TRUE TRUE
##
## oc soil.type soil.water soil.water.v soil.moist soil.ph
## Class numeric logical logical logical logical numeric
## Minimum 1.61 <NA> <NA> <NA> <NA> 7.4
## Maximum 1.7 <NA> <NA> <NA> <NA> 7.55
## Mean 1.65 <NA> <NA> <NA> <NA> 7.49
## Unique (excld. NA) 2 0 0 0 0 2
## Missing values 0 7 7 7 7 0
## Sorted TRUE <NA> <NA> <NA> <NA> FALSE
##
## soil.dens crop.res till man.source man.source.det
## Class logical character character character character
## Minimum <NA> No No cat buffalo
## Maximum <NA> Yes Yes cat buffalo
## Mean <NA> <NA> <NA> <NA> <NA>
## Unique (excld. NA) 0 2 2 1 1
## Missing values 7 0 0 0 0
## Sorted <NA> FALSE TRUE TRUE TRUE
##
## man.bed man.con man.trt1
## Class character character character
## Minimum None Slurry Anaerobic digestion
## Maximum None Slurry None
## Mean <NA> <NA> <NA>
## Unique (excld. NA) 1 1 2
## Missing values 0 0 0
## Sorted TRUE TRUE TRUE
##
## man.trt2 man.stor man.dm man.vs man.tkn
## Class character logical numeric numeric numeric
## Minimum Mechanical separation <NA> 6.66 5.74 2.21
## Maximum Mechanical separation <NA> 8.34 5.74 3.2
## Mean <NA> <NA> 7.38 5.74 2.64
## Unique (excld. NA) 1 0 2 1 2
## Missing values 3 7 0 4 0
## Sorted TRUE <NA> TRUE TRUE TRUE
##
## man.tan man.tic man.ua man.vfa man.ph app.start
## Class numeric logical logical logical numeric POSIXct, POSIXt
## Minimum 0.7 <NA> <NA> <NA> 6.54 2016-07-28 08:07:00
## Maximum 0.737 <NA> <NA> <NA> 7.67 2017-07-18 10:53:00
## Mean 0.721 <NA> <NA> <NA> 7.19 2017-02-16 06:31:51
## Unique (excld. NA) 2 0 0 0 2 7
## Missing values 0 7 7 7 0 0
## Sorted FALSE <NA> <NA> <NA> FALSE FALSE
##
## app.end app.method app.rate app.rate.unit
## Class POSIXct, POSIXt character numeric character
## Minimum 2016-07-28 08:20:00 bc 79.5 t/ha
## Maximum 2017-07-18 11:00:00 bc 125 t/ha
## Mean 2017-02-16 06:40:08 <NA> 99 <NA>
## Unique (excld. NA) 7 1 2 1
## Missing values 0 0 0 0
## Sorted FALSE TRUE TRUE TRUE
##
## incorp time.incorp man.area dist.inj furrow.z furrow.w
## Class character numeric logical logical logical logical
## Minimum none <NA> <NA> <NA> <NA> <NA>
## Maximum none <NA> <NA> <NA> <NA> <NA>
## Mean <NA> <NA> <NA> <NA> <NA> <NA>
## Unique (excld. NA) 1 0 0 0 0 0
## Missing values 0 7 7 7 7 7
## Sorted TRUE <NA> <NA> <NA> <NA> <NA>
##
## crop crop.z crop.area lai
## Class character numeric numeric logical
## Minimum bare soil 0 0 <NA>
## Maximum stubble 0 0 <NA>
## Mean <NA> 0 0 <NA>
## Unique (excld. NA) 2 1 1 0
## Missing values 0 4 4 7
## Sorted FALSE TRUE TRUE <NA>
##
## notes.plot
## Class character
## Minimum manual application was done for the rectangular areas, 40 cm wide and 80 cm long (0.32m2), covered by wind tunnels. 2 wind tunnels are used as replicates, the reported emission is the mean values.
## Maximum manual application was done for the rectangular areas, 40 cm wide and 80 cm long (0.32m2), covered by wind tunnels. 3 wind tunnels are used as replicates.
## Mean <NA>
## Unique (excld. NA) 3
## Missing values 2
## Sorted FALSE
##
## row.in.file.plot man.trt3 institute sub.period
## Class numeric logical character numeric
## Minimum 5 <NA> UNINA 3
## Maximum 11 <NA> UNINA 3
## Mean 8 <NA> <NA> 3
## Unique (excld. NA) 7 0 1 1
## Missing values 0 7 0 0
## Sorted FALSE <NA> TRUE TRUE
##
## file
## Class character
## Minimum ../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx
## Maximum ../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx
## Mean <NA>
## Unique (excld. NA) 1
## Missing values 0
## Sorted TRUE
##
## treat meas.tech meas.tech.det app.start.orig
## Class character character logical character
## Minimum 2-BRM IHF <NA> 18-07-2017 10:22
## Maximum 3-BLD Wind tunnel <NA> 28-07-2016 09:28
## Mean <NA> <NA> <NA> <NA>
## Unique (excld. NA) 2 2 0 7
## Missing values 0 0 7 0
## Sorted FALSE FALSE <NA> TRUE
##
## app.end.orig
## Class character
## Minimum 18-07-2017 10:35
## Maximum 28-07-2016 09:36
## Mean <NA>
## Unique (excld. NA) 7
## Missing values 0
## Sorted TRUE
##
## cpid
## Class character
## Minimum D:1.I:UNINA.Pr:BLD_JUL17.F:../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx.E:3-BLD_IHF.F:AC.P:1.T:3-BLD.R:1.R2:.T:2017-07-18 10:22:00
## Maximum D:1.I:UNINA.Pr:BRM_JUL16.F:../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx.E:2-BRM_WT.F:AC.P:3.T:2-BRM.R:2.R2:.T:2016-07-28 09:28:00
## Mean <NA>
## Unique (excld. NA) 7
## Missing values 0
## Sorted TRUE
##
## ceid flag.plot
## Class character character
## Minimum D:1.I:UNINA.Pr:BLD_JUL17.E:3-BLD_IHF
## Maximum D:1.I:UNINA.Pr:BRM_JUL16.E:2-BRM_WT
## Mean <NA> <NA>
## Unique (excld. NA) 4 1
## Missing values 0 0
## Sorted TRUE TRUE
##
## submitter tan.app e.1 e.4 e.6
## Class character numeric numeric numeric numeric
## Minimum Ester Scotto di Perta 58.6 <NA> 3.41 4.55
## Maximum Ester Scotto di Perta 87.5 <NA> 17.1 18.8
## Mean <NA> 71 <NA> 9.02 12.4
## Unique (excld. NA) 1 2 0 7 7
## Missing values 0 0 7 0 0
## Sorted TRUE TRUE <NA> FALSE FALSE
##
## e.12 e.24 e.48 e.72 e.96 e.168 e.final
## Class numeric numeric numeric numeric numeric numeric numeric
## Minimum 6.03 8.2 15.2 18.3 23.3 <NA> 18.8
## Maximum 24.8 34.9 40.9 44.6 46.8 <NA> 49.2
## Mean 15.6 21.2 25.6 27.8 30.1 <NA> 31.8
## Unique (excld. NA) 7 7 6 6 4 0 7
## Missing values 0 0 1 1 3 7 0
## Sorted FALSE FALSE FALSE FALSE FALSE <NA> FALSE
##
## e.tot e.cum.1 e.cum.4 e.cum.6 e.cum.12 e.cum.24 e.cum.48
## Class numeric numeric numeric numeric numeric numeric numeric
## Minimum 18.8 <NA> 3.41 4.55 6.03 8.2 15.2
## Maximum 49.2 <NA> 17.1 18.8 24.8 34.9 40.9
## Mean 31.8 <NA> 9.02 12.4 15.6 21.2 25.6
## Unique (excld. NA) 7 0 7 7 7 7 6
## Missing values 0 7 0 0 0 0 1
## Sorted FALSE <NA> FALSE FALSE FALSE FALSE FALSE
##
## e.cum.72 e.cum.96 e.cum.168 e.cum.final e.cum.tot e.rel.1
## Class numeric numeric numeric numeric numeric numeric
## Minimum 18.3 23.3 <NA> 18.8 18.8 <NA>
## Maximum 44.6 46.8 <NA> 49.2 49.2 <NA>
## Mean 27.8 30.1 <NA> 31.8 31.8 <NA>
## Unique (excld. NA) 6 4 0 7 7 0
## Missing values 1 3 7 0 0 7
## Sorted FALSE FALSE <NA> FALSE FALSE <NA>
##
## e.rel.4 e.rel.6 e.rel.12 e.rel.24 e.rel.48 e.rel.72 e.rel.96
## Class numeric numeric numeric numeric numeric numeric numeric
## Minimum 0.039 0.052 0.0689 0.0937 0.174 0.209 0.397
## Maximum 0.292 0.306 0.381 0.527 0.698 0.761 0.798
## Mean 0.136 0.185 0.231 0.311 0.394 0.426 0.514
## Unique (excld. NA) 7 7 7 7 6 6 4
## Missing values 0 0 0 0 1 1 3
## Sorted FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##
## e.rel.168 e.rel.final e.rel.tot rain.1 rain.4 rain.6
## Class numeric numeric numeric numeric numeric numeric
## Minimum <NA> 0.215 0.215 <NA> 0 0
## Maximum <NA> 0.839 0.839 <NA> 0 0
## Mean <NA> 0.467 0.467 <NA> 0 0
## Unique (excld. NA) 0 7 7 0 1 1
## Missing values 7 0 0 7 0 0
## Sorted <NA> FALSE FALSE <NA> TRUE TRUE
##
## rain.12 rain.24 rain.48 rain.72 rain.96 rain.168 rain.final
## Class numeric numeric numeric numeric numeric numeric numeric
## Minimum 0 0 0 0 0 <NA> 0
## Maximum 0 0 0 0 0 <NA> 0
## Mean 0 0 0 0 0 <NA> 0
## Unique (excld. NA) 1 1 1 1 1 0 1
## Missing values 0 0 1 1 3 7 0
## Sorted TRUE TRUE TRUE TRUE TRUE <NA> TRUE
##
## rain.tot air.temp.1 air.temp.4 air.temp.6 air.temp.12
## Class numeric numeric numeric numeric numeric
## Minimum 0 <NA> 29.2 29.6 27.7
## Maximum 0 <NA> 32.6 32.6 31.9
## Mean 0 <NA> 31.2 31.3 30.6
## Unique (excld. NA) 1 0 3 3 3
## Missing values 0 7 0 0 0
## Sorted TRUE <NA> FALSE FALSE FALSE
##
## air.temp.24 air.temp.48 air.temp.72 air.temp.96 air.temp.168
## Class numeric numeric numeric numeric numeric
## Minimum 24.1 24.3 24.7 25.2 25.2
## Maximum 27.8 28.2 28.2 28.2 28.2
## Mean 25.1 25 25.3 25.6 26.2
## Unique (excld. NA) 3 3 3 3 3
## Missing values 0 0 0 0 0
## Sorted FALSE FALSE FALSE FALSE FALSE
##
## air.temp.mn wind.1 wind.4 wind.6 wind.12 wind.24 wind.48
## Class numeric numeric numeric numeric numeric numeric numeric
## Minimum 25.2 <NA> 0.65 0.65 0.65 0.65 0.65
## Maximum 28.2 <NA> 2.44 2.44 3.11 1.73 1.68
## Mean 26.2 <NA> 1.06 1.06 1.16 0.906 0.894
## Unique (excld. NA) 3 0 3 3 3 3 4
## Missing values 0 7 0 0 0 0 0
## Sorted FALSE <NA> FALSE FALSE FALSE FALSE FALSE
##
## wind.72 wind.96 wind.168 wind.mn wind.2m.1 wind.2m.4
## Class numeric numeric numeric numeric numeric numeric
## Minimum 0.65 0.65 0.65 0.65 <NA> 1.36
## Maximum 1.68 1.68 1.68 1.68 <NA> 2.44
## Mean 0.885 0.878 0.881 0.881 <NA> 1.57
## Unique (excld. NA) 4 4 3 3 0 3
## Missing values 0 0 0 0 7 0
## Sorted FALSE FALSE FALSE FALSE <NA> FALSE
##
## wind.2m.6 wind.2m.12 wind.2m.24 wind.2m.48 wind.2m.72
## Class numeric numeric numeric numeric numeric
## Minimum 1.36 1.36 1.36 1.33 1.27
## Maximum 2.44 3.11 1.73 1.68 1.68
## Mean 1.57 1.67 1.42 1.4 1.39
## Unique (excld. NA) 3 4 3 3 4
## Missing values 0 0 0 0 0
## Sorted FALSE FALSE FALSE FALSE FALSE
##
## wind.2m.96 wind.2m.168 wind.2m.mn rain.rate.1 rain.rate.4
## Class numeric numeric numeric numeric numeric
## Minimum 1.21 1.24 1.24 <NA> 0
## Maximum 1.68 1.68 1.68 <NA> 0
## Mean 1.39 1.39 1.39 <NA> 0
## Unique (excld. NA) 3 3 3 0 1
## Missing values 0 0 0 7 0
## Sorted FALSE FALSE FALSE <NA> TRUE
##
## rain.rate.6 rain.rate.12 rain.rate.24 rain.rate.48
## Class numeric numeric numeric numeric
## Minimum 0 0 0 0
## Maximum 0 0 0 0
## Mean 0 0 0 0
## Unique (excld. NA) 1 1 1 1
## Missing values 0 0 0 0
## Sorted TRUE TRUE TRUE TRUE
##
## rain.rate.72 rain.rate.96 rain.rate.168 rain.rate.mn rh.1
## Class numeric numeric numeric numeric numeric
## Minimum 0 0 0 0 <NA>
## Maximum 0 0 0 0 <NA>
## Mean 0 0 0 0 <NA>
## Unique (excld. NA) 1 1 1 1 0
## Missing values 0 0 0 0 7
## Sorted TRUE TRUE TRUE TRUE <NA>
##
## rh.4 rh.6 rh.12 rh.24 rh.48 rh.72 rh.96
## Class numeric numeric numeric numeric numeric numeric numeric
## Minimum 22.6 22.6 26.1 51.6 55.1 55.3 53.7
## Maximum 62.2 62.2 63.7 60.8 60.7 60.7 60.7
## Mean 42.4 42.4 44.9 56.2 57.9 58 57.2
## Unique (excld. NA) 2 2 2 2 2 2 2
## Missing values 5 5 5 5 5 5 5
## Sorted TRUE TRUE TRUE TRUE TRUE TRUE TRUE
##
## rh.168 rh.mn first.row.in.file.int last.row.in.file.int
## Class numeric numeric numeric numeric
## Minimum 54.9 54.9 5 21
## Maximum 60.7 60.7 104 119
## Mean 57.8 57.8 55.1 70.6
## Unique (excld. NA) 2 2 7 7
## Missing values 5 5 0 0
## Sorted TRUE TRUE FALSE FALSE
##
## n.ints dt1 j.rel1 j.NH31 dt.min dt.max ct.min
## Class integer numeric numeric numeric numeric numeric numeric
## Minimum 16 1.98 0.0103 0.769 1.98 4.5 1.98
## Maximum 17 3.15 0.0922 5.4 3 44.4 3.15
## Mean 16.4 2.65 0.0379 2.51 2.56 30.7 2.65
## Unique (excld. NA) 2 2 7 7 2 3 2
## Missing values 0 0 0 0 0 0 0
## Sorted TRUE FALSE FALSE FALSE FALSE FALSE FALSE
##
## ct.max t.start.p t.end.p air.temp.z
## Class numeric POSIXct, POSIXt POSIXct, POSIXt numeric
## Minimum 41.2 2016-07-28 10:15:00 2016-07-31 12:30:00 2
## Maximum 143 2017-07-18 11:10:00 2017-07-22 13:35:00 2
## Mean 110 2017-02-16 07:20:42 2017-02-19 23:35:42 2
## Unique (excld. NA) 3 2 3 1
## Missing values 0 0 0 0
## Sorted FALSE FALSE FALSE TRUE
##
## soil.temp.z wind.z wind.loc far.loc
## Class logical numeric character numeric
## Minimum <NA> 0.125 Nearest station 310
## Maximum <NA> 2 Nearest station 310
## Mean <NA> 0.661 <NA> 310
## Unique (excld. NA) 0 2 1 1
## Missing values 7 0 5 5
## Sorted <NA> FALSE TRUE TRUE
##
## pub.info
## Class character
## Minimum Scotto di Perta, E., Fiorentino, N., Gioia, L., Cervelli, E., Faugno, S., & Pindozzi, S. (2019). Prolonged sampling time increases correlation between wind tunnel and integrated horizontal flux method. Agricultural and forest meteorology, 265, 48-55.
## Maximum Scotto di Perta, E., Fiorentino, N., Gioia, L., Cervelli, E., Faugno, S., & Pindozzi, S. (2019). Prolonged sampling time increases correlation between wind tunnel and integrated horizontal flux method. Agricultural and forest meteorology, 265, 48-55.
## Mean <NA>
## Unique (excld. NA) 1
## Missing values 0
## Sorted TRUE
##
## soil.type2 exper2 rep2 acid meas.tech.orig meas.tech2
## Class logical logical logical logical character character
## Minimum <NA> <NA> <NA> FALSE IHF micro met
## Maximum <NA> <NA> <NA> FALSE Wind tunnel wt
## Mean <NA> <NA> <NA> 0 TRUE <NA> <NA>
## Unique (excld. NA) 0 0 0 1 2 2
## Missing values 7 7 7 0 0 0
## Sorted <NA> <NA> <NA> TRUE FALSE FALSE
##
## crop.orig man.source.orig app.method.orig app.method2
## Class character character character character
## Minimum Bare soil Cattle Broadcast bc
## Maximum Stubble Cattle Broadcast bc
## Mean <NA> <NA> <NA> <NA>
## Unique (excld. NA) 2 1 1 1
## Missing values 0 0 0 0
## Sorted FALSE TRUE TRUE TRUE
##
## incorp.orig date.start
## Class character Date
## Minimum None 2016-07-28
## Maximum None 2017-07-18
## Mean <NA> <NA>
## Unique (excld. NA) 1 2
## Missing values 0 0
## Sorted TRUE FALSE
## Interval-level emission data
##
## 115 rows and 137 columns
## 115 unique rows
## cpmid
## Class character
## Minimum D:1.I:UNINA.Pr:BLD_JUL17.F:../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx.E:3-BLD_IHF.F:AC.P:1.T:3-BLD.R:1.R2:.T:2017-07-18 10:22:00.M:IHFNA
## Maximum D:1.I:UNINA.Pr:BRM_JUL16.F:../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx.E:2-BRM_WT.F:AC.P:3.T:2-BRM.R:2.R2:.T:2016-07-28 09:28:00.M:Wind tunnelNA
## Mean <NA>
## Unique (excld. NA) 7
## Missing values 0
## Sorted TRUE
##
## pub.id proj exper field plot rep
## Class character character character character numeric numeric
## Minimum AFM19 BLD_JUL17 2-BRM_IHF AC 1 1
## Maximum AFM19 BRM_JUL16 3-BLD_WT AC 4 3
## Mean <NA> <NA> <NA> <NA> 2.28 1.57
## Unique (excld. NA) 1 2 4 1 4 3
## Missing values 0 0 0 0 0 0
## Sorted TRUE TRUE FALSE TRUE FALSE FALSE
##
## treat meas.tech meas.tech.det plot.area lat
## Class character character logical numeric numeric
## Minimum 2-BRM IHF <NA> 0.32 41
## Maximum 3-BLD Wind tunnel <NA> 1260 41
## Mean <NA> <NA> <NA> 361 41
## Unique (excld. NA) 2 2 0 2 1
## Missing values 0 0 115 0 0
## Sorted FALSE FALSE <NA> FALSE TRUE
##
## long country topo clay silt sand oc
## Class numeric character character numeric numeric numeric numeric
## Minimum 14.4 IT Flat 15.1 27.2 57.6 1.61
## Maximum 14.4 IT Flat 15.1 27.2 57.6 1.7
## Mean 14.4 <NA> <NA> 15.1 27.2 57.6 1.65
## Unique (excld. NA) 1 1 1 1 1 1 2
## Missing values 0 0 0 0 0 0 0
## Sorted TRUE TRUE TRUE TRUE TRUE TRUE TRUE
##
## soil.type soil.water soil.water.v soil.moist soil.ph
## Class logical logical logical logical numeric
## Minimum <NA> <NA> <NA> <NA> 7.4
## Maximum <NA> <NA> <NA> <NA> 7.55
## Mean <NA> <NA> <NA> <NA> 7.48
## Unique (excld. NA) 0 0 0 0 2
## Missing values 115 115 115 115 0
## Sorted <NA> <NA> <NA> <NA> FALSE
##
## soil.dens crop.res till man.source man.source.det
## Class logical character character character character
## Minimum <NA> No No cat buffalo
## Maximum <NA> Yes Yes cat buffalo
## Mean <NA> <NA> <NA> <NA> <NA>
## Unique (excld. NA) 0 2 2 1 1
## Missing values 115 0 0 0 0
## Sorted <NA> FALSE TRUE TRUE TRUE
##
## man.bed man.con man.trt1
## Class character character character
## Minimum None Slurry Anaerobic digestion
## Maximum None Slurry None
## Mean <NA> <NA> <NA>
## Unique (excld. NA) 1 1 2
## Missing values 0 0 0
## Sorted TRUE TRUE TRUE
##
## man.trt2 man.stor man.dm man.vs man.tkn
## Class character logical numeric numeric numeric
## Minimum Mechanical separation <NA> 6.66 5.74 2.21
## Maximum Mechanical separation <NA> 8.34 5.74 3.2
## Mean <NA> <NA> 7.4 5.74 2.65
## Unique (excld. NA) 1 0 2 1 2
## Missing values 51 115 0 64 0
## Sorted TRUE <NA> TRUE TRUE TRUE
##
## man.tan man.tic man.ua man.vfa man.ph app.start
## Class numeric logical logical logical numeric POSIXct, POSIXt
## Minimum 0.7 <NA> <NA> <NA> 6.54 2016-07-28 08:07:00
## Maximum 0.737 <NA> <NA> <NA> 7.67 2017-07-18 10:53:00
## Mean 0.721 <NA> <NA> <NA> 7.17 2017-02-10 23:29:56
## Unique (excld. NA) 2 0 0 0 2 7
## Missing values 0 115 115 115 0 0
## Sorted FALSE <NA> <NA> <NA> FALSE FALSE
##
## app.end app.method app.rate app.rate.unit
## Class POSIXct, POSIXt character numeric character
## Minimum 2016-07-28 08:20:00 bc 79.5 t/ha
## Maximum 2017-07-18 11:00:00 bc 125 t/ha
## Mean 2017-02-10 23:38:15 <NA> 99.7 <NA>
## Unique (excld. NA) 7 1 2 1
## Missing values 0 0 0 0
## Sorted FALSE TRUE TRUE TRUE
##
## incorp time.incorp man.area dist.inj furrow.z furrow.w
## Class character numeric logical logical logical logical
## Minimum none <NA> <NA> <NA> <NA> <NA>
## Maximum none <NA> <NA> <NA> <NA> <NA>
## Mean <NA> <NA> <NA> <NA> <NA> <NA>
## Unique (excld. NA) 1 0 0 0 0 0
## Missing values 0 115 115 115 115 115
## Sorted TRUE <NA> <NA> <NA> <NA> <NA>
##
## crop crop.z crop.area lai
## Class character numeric numeric logical
## Minimum bare soil 0 0 <NA>
## Maximum stubble 0 0 <NA>
## Mean <NA> 0 0 <NA>
## Unique (excld. NA) 2 1 1 0
## Missing values 0 64 64 115
## Sorted FALSE TRUE TRUE <NA>
##
## notes.plot
## Class character
## Minimum manual application was done for the rectangular areas, 40 cm wide and 80 cm long (0.32m2), covered by wind tunnels. 2 wind tunnels are used as replicates, the reported emission is the mean values.
## Maximum manual application was done for the rectangular areas, 40 cm wide and 80 cm long (0.32m2), covered by wind tunnels. 3 wind tunnels are used as replicates.
## Mean <NA>
## Unique (excld. NA) 3
## Missing values 33
## Sorted FALSE
##
## row.in.file.plot man.trt3 institute sub.period
## Class numeric logical character numeric
## Minimum 5 <NA> UNINA 3
## Maximum 11 <NA> UNINA 3
## Mean 7.95 <NA> <NA> 3
## Unique (excld. NA) 7 0 1 1
## Missing values 0 115 0 0
## Sorted FALSE <NA> TRUE TRUE
##
## file
## Class character
## Minimum ../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx
## Maximum ../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx
## Mean <NA>
## Unique (excld. NA) 1
## Missing values 0
## Sorted TRUE
##
## app.start.orig app.end.orig
## Class character character
## Minimum 18-07-2017 10:22 18-07-2017 10:35
## Maximum 28-07-2016 09:28 28-07-2016 09:36
## Mean <NA> <NA>
## Unique (excld. NA) 7 7
## Missing values 0 0
## Sorted TRUE TRUE
##
## cpid
## Class character
## Minimum D:1.I:UNINA.Pr:BLD_JUL17.F:../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx.E:3-BLD_IHF.F:AC.P:1.T:3-BLD.R:1.R2:.T:2017-07-18 10:22:00
## Maximum D:1.I:UNINA.Pr:BRM_JUL16.F:../../data-submitted/03/UNINA/ALFAM2_UNINA_5_6_1_ver6.xlsx.E:2-BRM_WT.F:AC.P:3.T:2-BRM.R:2.R2:.T:2016-07-28 09:28:00
## Mean <NA>
## Unique (excld. NA) 7
## Missing values 0
## Sorted TRUE
##
## ceid flag.plot
## Class character character
## Minimum D:1.I:UNINA.Pr:BLD_JUL17.E:3-BLD_IHF
## Maximum D:1.I:UNINA.Pr:BRM_JUL16.E:2-BRM_WT
## Mean <NA> <NA>
## Unique (excld. NA) 4 1
## Missing values 0 0
## Sorted TRUE TRUE
##
## submitter tan.app interval t.start
## Class character numeric numeric POSIXct, POSIXt
## Minimum Ester Scotto di Perta 58.6 1 2016-07-28 10:15:00
## Maximum Ester Scotto di Perta 87.5 17 2017-07-22 13:35:00
## Mean <NA> 71.4 8.72 2017-02-12 18:21:01
## Unique (excld. NA) 1 2 17 38
## Missing values 0 0 0 0
## Sorted TRUE TRUE FALSE FALSE
##
## t.end dt bg.dl bg.val bg.unit
## Class POSIXct, POSIXt numeric logical numeric character
## Minimum 2016-07-28 12:15:00 1.98 <NA> 0 ug/l
## Maximum 2017-07-24 10:00:00 44.4 <NA> 5640 ug/l
## Mean 2017-02-13 01:20:01 6.67 <NA> 289 <NA>
## Unique (excld. NA) 38 24 0 92 1
## Missing values 0 0 115 0 0
## Sorted FALSE FALSE <NA> FALSE TRUE
##
## j.NH3 j.NH3.unit pH.surf air.temp air.temp.z soil.temp
## Class numeric character logical numeric numeric numeric
## Minimum 0 kg N/ha-hr <NA> 20.7 2 <NA>
## Maximum 5.4 kg N/ha-hr <NA> 35.4 2 <NA>
## Mean 0.57 <NA> <NA> 28.9 2 <NA>
## Unique (excld. NA) 115 1 0 42 1 0
## Missing values 0 0 115 0 0 115
## Sorted FALSE TRUE <NA> FALSE TRUE <NA>
##
## soil.temp.z soil.temp.surf rad wind wind.z MOL
## Class logical logical logical numeric numeric logical
## Minimum <NA> <NA> <NA> 0.495 0.125 <NA>
## Maximum <NA> <NA> <NA> 3.78 2 <NA>
## Mean <NA> <NA> <NA> 0.975 0.663 <NA>
## Unique (excld. NA) 0 0 0 34 2 0
## Missing values 115 115 115 0 0 115
## Sorted <NA> <NA> <NA> FALSE FALSE <NA>
##
## ustar rl air.pres air.pres.unit rain rh
## Class logical logical logical logical numeric numeric
## Minimum <NA> <NA> <NA> <NA> 0 22.6
## Maximum <NA> <NA> <NA> <NA> 0 83
## Mean <NA> <NA> <NA> <NA> 0 51.1
## Unique (excld. NA) 0 0 0 0 1 33
## Missing values 115 115 115 115 0 82
## Sorted <NA> <NA> <NA> <NA> TRUE FALSE
##
## wind.loc far.loc notes.int
## Class character numeric character
## Minimum Nearest station 310 .
## Maximum Nearest station 319 Soil pH 0-20 cm:7.6275
## Mean <NA> 311 <NA>
## Unique (excld. NA) 1 10 10
## Missing values 82 82 104
## Sorted TRUE FALSE FALSE
##
## row.in.file.int j.type t.start.orig
## Class numeric character character
## Minimum 5 emission rate '7/18/17 11:10
## Maximum 119 emission rate '7/31/2016 8:30
## Mean 62 <NA> <NA>
## Unique (excld. NA) 115 1 50
## Missing values 0 0 0
## Sorted FALSE TRUE FALSE
##
## t.end.orig j.NH3.unit.orig j.NH3.orig j.NH3.conv.fact
## Class character character numeric numeric
## Minimum '7/18/17 11:10 kg N/ha-hr 0 1
## Maximum '7/31/2016 8:30 kg N/ha-hr 5.4 1
## Mean <NA> <NA> 0.57 1
## Unique (excld. NA) 50 1 115 1
## Missing values 0 0 0 0
## Sorted FALSE TRUE FALSE TRUE
##
## dt.calc dt.diff ct mt cta bta flag.int
## Class numeric numeric numeric numeric numeric numeric character
## Minimum 2 -12 1.98 0.992 2.78 0.283
## Maximum 44.4 3.55e-14 143 121 144 99.2
## Mean 6.98 -0.318 46.4 43 49.8 42.9 <NA>
## Unique (excld. NA) 21 13 47 48 114 114 1
## Missing values 0 0 0 0 0 0 0
## Sorted FALSE FALSE FALSE FALSE FALSE FALSE TRUE
##
## rain.rate rain.cum wind.2m e.int e.cum e e.rel
## Class numeric numeric numeric numeric numeric numeric numeric
## Minimum 0 0 0.495 0 1.79 1.79 0.0205
## Maximum 0 0 3.78 17 49.2 49.2 0.839
## Mean 0 0 1.48 1.94 24 24 0.354
## Unique (excld. NA) 1 1 34 115 114 114 114
## Missing values 0 0 0 0 0 0 0
## Sorted TRUE TRUE FALSE FALSE FALSE FALSE FALSE
##
## j.rel
## Class numeric
## Minimum 0
## Maximum 0.0922
## Mean 0.00789
## Unique (excld. NA) 115
## Missing values 0
## Sorted FALSE
##
## pub.info
## Class character
## Minimum Scotto di Perta, E., Fiorentino, N., Gioia, L., Cervelli, E., Faugno, S., & Pindozzi, S. (2019). Prolonged sampling time increases correlation between wind tunnel and integrated horizontal flux method. Agricultural and forest meteorology, 265, 48-55.
## Maximum Scotto di Perta, E., Fiorentino, N., Gioia, L., Cervelli, E., Faugno, S., & Pindozzi, S. (2019). Prolonged sampling time increases correlation between wind tunnel and integrated horizontal flux method. Agricultural and forest meteorology, 265, 48-55.
## Mean <NA>
## Unique (excld. NA) 1
## Missing values 0
## Sorted TRUE
##
## soil.type2 exper2 rep2 acid meas.tech.orig meas.tech2
## Class logical logical logical logical character character
## Minimum <NA> <NA> <NA> FALSE IHF micro met
## Maximum <NA> <NA> <NA> FALSE Wind tunnel wt
## Mean <NA> <NA> <NA> 0 TRUE <NA> <NA>
## Unique (excld. NA) 0 0 0 1 2 2
## Missing values 115 115 115 0 0 0
## Sorted <NA> <NA> <NA> TRUE FALSE FALSE
##
## crop.orig man.source.orig app.method.orig app.method2
## Class character character character character
## Minimum Bare soil Cattle Broadcast bc
## Maximum Stubble Cattle Broadcast bc
## Mean <NA> <NA> <NA> <NA>
## Unique (excld. NA) 2 1 1 1
## Missing values 0 0 0 0
## Sorted FALSE TRUE TRUE TRUE
##
## incorp.orig date.start first.row.int row.plot
## Class character Date numeric numeric
## Minimum None 2016-07-28 5 5
## Maximum None 2016-07-28 104 11
## Mean <NA> <NA> 54.3 7.95
## Unique (excld. NA) 1 1 7 7
## Missing values 0 0 0 0
## Sorted TRUE TRUE FALSE FALSE
##
## first.rows ggplotgroup
## Class factor factor
## Minimum Plots 10 Emis. 88 (4.99,8]
## Maximum Plots 9 Emis. 72 (8,11]
## Mean Plots 6 Emis. 22 (4.99,8]
## Unique (excld. NA) 7 2
## Missing values 0 0
## Sorted FALSE FALSE
##