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The volume of uploaded videos, recycled-videos and live-videos in the datasets varies (Table 1).
However, the format of benchmark datasets varies, and the majority of test datasets have been developed in the United States and are specific to this spatial context.
The distribution of correlation coefficients of different datasets varies greatly, as is demonstrated in Figure 1, which plots actual expression datasets from the two species.
Since the geographical extent of these datasets varies from local to global scale, data quality and validity is of major interest when they are chosen for use.
The average amount of host gene clusters with significantly correlated target expression for the three datasets varies between26%and30%30%.
The number of genomes in the datasets varies from 2 to 10 and depends on the number of available complete sequences for each taxonomic group and on the level of the group.
Similar(54)
It does, however, say the datasets vary in size, and can be as large as "millions of records".
The report does specify that these datasets "vary in size from hundreds to millions of records", and can be acquired by "overt and covert channels".
It can be seen that the resulting models for the different datasets varied greatly in performance.
The datasets vary considerably in terms of the number of wells examined, their age and their designs.
The sizes of the modeled datasets varied from 150 chemicals for biodegradability half-life to 14,050 chemicals for logP, with an average of 3222 chemicals across all endpoints.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com