Sentence examples for dataset filling from inspiring English sources

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The simulated rs-fMRI datasets were generated based on the preprocessed rs-fMRI data selected from the second dataset, filling the bilateral medial frontal cortex (MFC) with synthetic BOLD signals instead of original time-varying signals (Fig.  2).

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The samples of the Cypriot dataset are few, since less than 2,000 users of the Cypriot dataset filled properly the online questionnaire and expressed at the same time their vote intention.

Datasets fill up their local hard drives and thumb drives, but, at the end of the day, farmers are not hard-core technologists or data scientists, and don't intend to be — they already have a full-time job with plenty to do.

All datasets filled the following criteria: (1) maxTran ≤ 2 mm, (2) maxRot ≤ 2°, (3) meanFD ≤ 0.4 mm, and (4) mcBBR< 0.75.

The 84,967 filtered SNPs in common were merged following the consensus method, i.e. missing calls in one of the datasets was filled from the other dataset, and mismatches between datasets resulted in a missing call in the merged dataset.

Moreover, small gaps in the created mask image for STARE dataset are filled using a morphological closing operator whose structure element is a disk of radius 10.

Notie that the odds ratios and P-values for both designated patterns alone in dataset D4 (filled blue) are worse than the scores for the same patterns alone in the single-risk D2 and D3, respectively (hollow blue).

Despite the difference in inventory years, and recognizing the potential errors of combining different plot designs, for some analyses we used the NFI dataset to fill the "nonforest" biomass data gap when trees were present but not measured in the regular FIA data collection ("FIA + NFI").

Our dataset was filled with instances where trainees reported that they considered asking for help but decided against it because their supervisor wasn't close by, and they thought that their question wasn't important enough to warrant a phone call to someone who might be busy with something else.

The integration of all datasets fills in the picture with gene members that are not revealed by single analysis, providing a comprehensive evaluation of the deregulation of that metabolic process.

A comprehensive gap analysis provides information that can facilitate prioritization in targeting new SEAMAP datasets to fill these gaps.

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