tt.pre | R Documentation |
The data comes from the Trebeltal / Northeastern Germany and has been recorded with flexible non-steady state closed chambers in March 2011. It contains concentration data from 18 chamber measurements including calibration gas measurements that have been carried out alternatingly on the GC.
data(tt.pre)
A data frame with 118 observations on the following 17 variables.
year
numeric vector giving the year of measurement
date
factor giving the date of field sampling, format is "%Y-%m-%d"
time
factor giving the time of measurement in the field, format is "%H:%M"
veg
factor with levels c
p
t
spot
numeric vector, but it is a factor giving the number of the field measurement location. The combination of veg
and spot
uniquely identifies the measurement locations in the site
time_min
numeric vector, time in minutes during the chamber placement. starts with 0 from placing the chamber
sampletype_a
factor with levels E
P
determining whether its a field concentration measurement or a calibration gas measurement
temp_dC
numeric vector, air temperature within chamber during measurements, taken at the same times as the concentration samples
cham_vol
numeric vector, chamber volume per chamber placement. Varies from chamber placement to chamber placement depending on the chamber used
cham_area
numeric vector giving the chamber area
date_gc
factor giving the date of the gc measurement, format is "%Y-%m-%d"
CO2Code
numeric vector, quality parameter from the GC
CO2ppm
numeric vector, concentration of CH4 in air sample / calibration gas sample
N2OCode
numeric vector, quality parameter from the GC
N2Oppb
numeric vector, concentration of N2O in air sample / calibration gas sample
CH4Code
numeric vector, quality parameter from the GC
CH4ppb
numeric vector, concentration of CO2 in air sample / calibration gas sample
The 18 chamber measurements are carried out on three vegetation types (Phragmites, Typha, Carex).
unpublished preliminary data, whole data set in
Günther A, Huth V, Jurasinski G, Glatzel S (2013a) Scale-dependent temporal variation during the determination of the methane balance of a temperate fen. Greenhouse Gas Measurement & Management DOI: 10.1080/20430779.2013.850395
Huth V, Günther A, Jurasinski G, Glatzel S (2013) The impact of an extraordinarily wet summer on methane emissions from a 15-year re-wetted fen in north-east Germany. Mires & Peat 13.2:1–7
## load data data(tt.pre) ## see their structure str(tt.pre)
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