Sentence examples for unevenness of data from inspiring English sources

One of them is the possible influence of unevenness of data in the set, as reflected in the fact that the number of substorms from the Southern Hemisphere is only half of that in the Northern Hemisphere, in spite of the data being selected from a twofold larger time interval.

To compensate for the unevenness of data availability across cell properties and developmental stages, we combined data from stages 43 44, 45 46, and 48 49, as these groupings have proven useful in previous studies (Pratt et al., 2008; Dong et al., 2009; Sharma and Cline, 2010).

If the shows that worked their way to the top weren't always the ones most lauded elsewhere, that's likely to be down to the unevenness of the data (not everyone, nor even a decent percentage of everyone, is on Twitter) and the recursive aspects of Twitter conversation (retweets from the companies themselves would be counted toward their Edtwinge score).

We assessed the potential advantage provided by PRICE over competing assembly strategies in performing assemblies of metagenomic components from large datasets with the confounding factors observed here: the scarcity and unevenness of relevant data.

The unevenness in coverage of data from Illumina short-insert libraries at C. elegans autosome arms mirrors the distribution of inverted and tandem repetitive sequences, which also cluster more frequently at the autosome arms (Supplementary Fig. S9).

One challenge for our analysis was the unevenness of the sequence data due to varying sampling schemes.

They also highlighted the ability of PRICE to accommodate the challenges that are both intrinsic to such problems (complexity of datasets in terms of diversity of the source material) and that reflect current shortcomings of metagenomic data (unevenness of coverage, even across a single molecular species).

As a specific example, we show the results of evaluating the estimation by machine learning for the gradient and unevenness of the sidewalk from the sensor data during the passage of a stroller.

The most likely reason for the high variation among data is the unevenness of spread of paint flakes after boats are scraped and sand papered, in particular of the elements that derive from antifouling paints.

A variety of approaches have been developed to correct telemetry data by: 1) reducing spatial errors and 2) correcting for temporal lags and unevenness between data points.

As a specific application case, we evaluated the estimation of the gradient and unevenness of sidewalks by machine learning from the sensor data during the passage of strollers, and verified the effectiveness of this method.