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This dataset excludes groups of closely related homologues that we could not strictly distinguish by MS data alone.
This dataset excludes syconia with foundress number (NF) = 0 (n = 33) and a small number of syconia (n = 26) that were collected to boost the sample size of low-NF syconia in the summer.
A basic limitation is that the analysis of a cross-sectional dataset excludes the possibility of a causal interpretation of differences between parents and children.
This dataset excludes mitochondrial variants, as SuRFR has been trained on nuclear, not mitochondrial, variants and relies heavily on functional data that are not applicable to mitochondrial variants (most notably, histone modifications and DNase HS data).
As the current dataset excludes participants from the previously reported analyses [ 2] who lacked valid HFE genotyping, we first reproduced the previously reported associations for the main effects of black carbon exposure on MMSE scores and total cognition in this reduced dataset.
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Then, the average and standard deviations were calculated again using the dataset excluding the outlier.
Afterwards, the model was applied to the dataset, excluding data acquired during and after tariquidar administration.
Their cleaned dataset excluded approximately 40% of the children, especially due to the weak quality of their height measurements.
Nevertheless, the geographical distribution of the mentioned continents is reflected in our dataset, excluding only some minor actors.
The PG values were obtained from the all weather (AW) conditions dataset excluding the days of precipitation events or |PG| > 1 kV m−1.
The PG values used here were obtained from the AW dataset, excluding the days with rain and days when |PG| > 1 kV m−1, the latter denoting the existence of heavily charged clouds (Bennett and Harrison 2007b).
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