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The average accuracy for the blocks of datasets are listed in Table 7.
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If you're looking for individual countries, remember that many of these datasets are global, comparing hundreds of nations around the world - but our search engine looks for the title of the dataset.
From the standpoint of extracting insights from large datasets, the file sizes of those datasets are utterly and entirely irrelevant.
The derivative views of data defined by queries against the physical datasets are called virtual datasets.
The disaggregated datasets are not available - but you can download csvs of your query.
They are grouped in blocks designating whether the datasets were newly made for this study or were downloaded, and for which parts of the analyses they were used.
The datasets are pretty limited.
The description by one committee member of the datasets as being akin to phone directories gives a hint as to what these datasets are likely to be: information collected by private companies and resold to the government.
Furthermore, careful treatment and analysis of image datasets is essential.
Four types of simulated datasets were examined.
Concatenated alignment blocks from each dataset were imported into SplitsTree [27], [28].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com