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While, databases such as Google Street View contain street-level images of all traffic signs and are updated regularly, their potential for creating an inventory databases has not been fully explored.
This detailed information from national Russian databases has not been analyzed or published before.
The accuracy of methods previously used to identify FN in such databases has not been formally evaluated.
Some of the reasons underlying these differences are well known, but their global impact on the interactions collectively curated by major public databases has not been evaluated.
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Hydropower resource databases have not been updated in a very long time.
The databases have not been redundancy reduced and the sequences are used without modifications.
Moreover, both the databases have not been updated in the recent years.
The different hospital databases have not been designed to conform to some agreed standards for data representation and meanings.
Attempts to engage the scientific community to annotate biological data (such as protein/gene function) stored in databases have not been overly successful.
Despite their popularity and ease of use, databases have not been widely adopted for organizing simulation results data, in part because relational databases are not well suited for matrix-based data.
However, so far the various human metabolic networks described by these databases have not been systematically compared and contrasted, nor has the extent to which they differ been quantified.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com