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The datasets are based on (hand-curated) seed alignments of 36 RNA families taken from Rfam version 7.0 [ 24, 23].
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The comparison among the datasets is based on the duration, frequency and intensity of three different spell characteristics, namely dry, wet and extreme wet spells, and their associated trends.
The order of linking the datasets was based on the availability of additional data for linkage and the quality of the linkage data.
The genre labels of the dataset are based on the most popular labels on the allmusic.com website.
The criteria for selecting these attributes in the dataset are based on its predictability within a certain subcategory.
The dataset is based on high school and university students' hand position and head direction data, which can be automated deploying existing multimodal learning analytics systems.
The dataset is based on references [107] [116].
First, the dataset was based on a cross-sectional study and could have been biased by selection.
The degree of OI presented in the dataset is based on the authors/sponsors of the studies and in most cases followed the criteria recommended by the FDA (2010 guidance) 1, 2 or European Medicines Agency EMAA) (2013 guidance).
The dataset is based on Illumina HumanHap550 Genotyping BeadChip data from HapMap sample NA06991, to which 10 simulated abnormalities were added in a series of 21 mosaic states ranging from 0 to 100percentt normal cells in intervals of 5%.
Several conclusions are evident from these data, mirroring but also vastly extending similar results published by Senchina et al. [ 13] for a sample of only 48 genes: First, because the dataset is based on thousands of alignments in each comparison, it provides an accurate depiction of the ancestry of polyploid cotton.
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