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In this approach, multiple independent sets of contextual data are merged into a unified structure realized by a custom file system whose data sets can be dynamically added or removed during runtime.
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Monthly gasoline price data were merged into FARS data by linking with time of crash, and we conducted logistic regressions to ascertain the likelihood that new-versus-older model motorcyclists would be fatally injured in a crash when inflation-adjusted gasoline prices increased.
Finally, OIE and FAO data were merged into an integrated OIE-FAO database for global HPAI H5N1 outbreaks, which includes four subsets of completely matched, almost matched, and unmatched HPAI H5N1 outbreaks from OIE and FAO, respectively.
RNAseq and EST library data were merged into a Transcriptome Shotgun Assembly.
Received data were merged into a specifically constructed master database.
The data were de-identified nationally before the anonymous data were merged into the NARA dataset.
Data were merged into a common dataset using Stata 10.0 (StataCorp, College Station, TX, USA).
The resulting genotype data were merged into the 60 K SNP dataset.
The aligned N. intermedia data was merged into a single consensus sequence.
Received data were merged into a master database, specifically constructed for the review.
These count data were merged into a single data set per outcome with the addition of a receiving country identifier.
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CEO of Professional Science Editing for Scientists @ prosciediting.com