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Interferometric processing uses two SLC datasets, called master and slave.
A first group of 4 synthetic datasets, called TS/1 (i.e., Testing Set 1) hereinafter, has been generated.
For evaluation we use two MS/MS datasets called "Agilent" (2046 compounds) and "GNPS" (2005 compounds), see "Experimental" section for details.
Six datasets (called R for replay) were reconstructed from this LM additional acquisition, mimicking acquisition times of 1.5, 2, 2.5, 3, 5, and 10 min (respectively R1.5, R2, R2.5, R3, R5, and R10).
Specifically, through Hudson's MS program [33], Brown and Harrower created two families of datasets (called the uniform and nonuniform datasets) by randomly pairing the resulting haplotypes.
For each of the patients, there are datasets called ictal and interictal.
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The recent advances in genomic technologies and the availability of large-scale microarray datasets call for the development of advanced data analysis techniques, such as data mining and statistical analysis to cite a few.
The analysis uses a dataset called "Proms", which stands for "patient reported outcome measures".
The second type of dataset, called "tracking set," was also taken in the laboratory site.
We introduce a new dataset called GeoPose3K1 which contains over three thousand precise camera poses of mountain landscape images.
The second dataset is a recent recorded dataset called DOMOTICA-3 dubbing its precursor DOMOTICA-2 employed in [18].
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