Description Usage Format Details
This is the processed root data. Each row is a set of roots at a given (1) site, (2) month, and (3) depth bin. Mean root length, mean root diameter, and total (sum) root biomass at each depth bin for each date and each site is given, along with their respective standard deviations and sample sizes.
1 |
A data frame of 31 rows and 15 columns.
Either 'Adenostoma' or 'Grass'
categorical bin, details above
categorical depth, 0-9.99, 10-10.99, etc.
average root length of each root group, in mm
standard deviation of each root group length, in mm
sample size of each root group used in length means
average root diameter of each root group, in mm
standard deviation of each root group diameter, in mm
sample size of each root group used in diameter means
sum biomass of each root group, in grams
standard deviation of each root group biomass, in grams
sample size of each root group used in biomass sums
mean biodensity of each root group, g cm^-3
standard deviation of each root group biodensity, g cm^-3
sample size of each root group used in mean biodensity
...
Depth bins are as follows:
1: 0 - 9.99 cm below surface level 2: 10 - 19.99 cm 3: 20 - 29.99 cm 4: 30 - 39.99 cm 5: 40 - 49.99 cm 6: 50 - 60 cm
The pre-processing is done in:
'SDEF_roots_pre_process'
and
'SDEF_roots_pre_aggregation'
in that order.
The time aggregation here is one of five options: 'date', 'month', 'season_v1', 'season_v2', and 'season_v3'. Date and month are self explanatory.
'season_v1' aggregates October and December to 'Winter', January and February to 'Early Spring', and March and May to 'Late Spring'.
'season_v2' aggregates October and December to 'Winter', January and February to 'Early Spring', and leaves March and May as months.
'season_v3' aggregates October, December, and January as 'Winter', February and March as 'Early Spring', and leaves May as its own month. May here could also be 'Late Spring'.
Process for making this data set is in 'SDEF_roots_post_aggregation.Rmd'
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