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Table S1 Functional categorization of selected compounds accumulating significantly differentially (< 0.05) during cold acclimation in at least one of the three populations, California (CA), British Columbia (BC), or Alaska (AK)

Table S2 Functional categorization of selected compounds accumulating differentially (< 0.05) between at least two of the populations, California (CA), British Columbia (BC), or Alaska (AK), at least one of the four time-points

Table S3 Loadings of the metabolites selected on the two latent variables (ξ1 and ξ2) of the sparse Sparse Partial Least Squares Discriminant Analysis (sPLS-DA) conducted for each of the populations with the time-points as response categories, and for each of the time-points, with the populations as response categories

Table S4 Metabolites for which the full Model 1, with as predictors latitude, date, and interaction between latitude and date, could be fitted significantly (< 0.01)

Table S5 Selection of metabolism related transcripts that are differentially accumulating during cold acclimation, as determined by Holliday et  al., 2008 (fold change > 1.3 from mean at any one time-point; < 0.025)

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