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AR and HE for each population are indicated in Table 1.
The number of contig and length of each population are presented, alongside their normalized coverage across the 104 GOV viromes.
Five largest clusters for each population are listed in Table 2.
The samples generated separately for each population are not necessarily probabilistic samples on the intersection of the populations, i.e. on closed canopy community forests and bias may ensue.
In this application, the designs existing in each population are graphically shown to the user and the user chooses three images from the presented images [11].
Clinical characteristics of each population are reported in Table S1.
Total numbers of individuals sampled from each population are indicated in Table 1.
Age, smoking, and mean log relative telomere length values of each population are shown in Table 1.
The geographical location, latitude, longitude, altitude and climatic information for each population are given in Table 1.
Except for the cold stressed library (ZJ-COLD), the sequenced reads of each population are approximately the same (∼8,500,000 reads).
The design of the sampling quadrats and the measurement of the stand density and total biomass for each population are described by Deng et al. [20].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com