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For the purposes of this study, we utilize the cumulative dataset composed of the first five survey rounds (2002, 2004, 2006, 2008 and 2010).
With each new data segment added to a cumulative dataset, RandomForest was re-run for each frame, producing a nation-wide simulated carbon map.
Note, when using the cumulative dataset for a period the duration variable is lost since it is meaningless to sum the duration of the projects in a given month or quarter.
The overlap of our cumulative dataset with the datasets from Phospho.ELM and Rikova et. al. [25] is 23% and 41% respectively.
We calculated similarity matrices using an aligned cumulative dataset containing all of the OTUs together and separately for OTUs belonging to each of the clades.
We investigated the effect of sample size on parameter estimation by constraining each cumulative dataset to 100 randomly selected genomes (see electronic supplementary material, figure S1).
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However, the cumulative datasets provide the project frequency for different timeframes.
All summary statistics use the proper weighting of the cumulative ESS dataset for our study16.
Under this classification, 9.0% of respondents over the 5-year cumulative ESS dataset were considered non-native and were excluded from our analysis.
15The exact question regarding religiosity is worded in the ESS as follows: "Regardless of whether you belong to a particular religion, how religious would you say you are?" 16For more information on the proper weighting of the cumulative ESS dataset, see http://ess.nsd.uib.no/ess/doc/Weighting_ESS_cumulative_data.pdf.uib.no/ess/doc/Weighting_ESS_cumulative_data.pdf
Further comparison to the Human Protein Reference Database [28] confirmed that both motif 1 and motif 5 are indeed unique to our cumulative hESC dataset (Fig. 2C).
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