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In this study, the datasets were reclassified into five categories: woodland, cropland, wetland, water body, and build-up.
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For this study the dataset with resolution 100 m × 100 m has been used.
In the previous studies, the datasets included proteins from various eukaryotic species, whereas our study was conducted on the individual plant proteomes.
We included from all studies the datasets on which the intention-to-treat analyses were based, rather than subsets from patients with different etiologies.
We hope that in future studies the datasets we describe here can be used by other researchers to identify additional candidate master regulators for laboratory evaluation.
MF participated in the design of the study, prepared the datasets, and helped writing the manuscript.
AG designed the study, linked the datasets, extracted data and drafted the final paper.
SWW co-ordinated the study, prepared the datasets for analysis and assisted with endpoint review.
VH participated in the design of the study, prepared the datasets, performed the statistical analysis, and drafted the manuscript.
AZ participated in the design of the study, prepared the datasets, performed the statistical analysis, and drafted the manuscript.
As for migration studies, the dataset has a strong comparative advantage.
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