Sentence examples for datasets allow us to from inspiring English sources
Both datasets allow us to study the hierarchical structure of star formation: the youngest stellar groups are the most compact, and are often arranged within broader, sparser structures.
These datasets allow us to analyze the development of land cover change trends in the province since 2000 with high spatial and temporal detail.
Based on the collected data alone, large datasets allow us to precisely determine the statistical properties of the imaging sensor on a pixel-by-pixel basis, independent of any "a priori" normalization routinely applied to the raw image data during collection ("flat field correction").
Once merged these two datasets allow us to assess the impact of bilateral maritime connectivity.
Following the results for the TWG and the Bernard parameter, the SciGas as well as the Geoservices datasets allow us to qualitatively evaluate the gas composition despite the different degassing systems.
The two datasets allow us to identify several performance-related factors that influence a player's visibility, and eventually his popularity: (i) Rank (r(t)): Figure 2(A) shows the measured Wikipedia page-views (W t)) vs. a player's momentary rank (r(t)), indicating that the number of visits rapidly drop with the increasing rank of a player.
Comparing the 'original network' (i.e. the network obtained by using the original dataset) with the 'bootstrap networks' (i.e. those obtained using the bootstrap datasets) allows us to get a measure of confidence in the causal relationships identified in the 'original network'.
Combining these two datasets allowed us to assess the interaction of land cover changes with stream channel loss.
We have shown that we can determine the characteristics of the digital imaging sensor directly from large datasets, allowing us to perform a posteriori data corrections that are matched to the experimental conditions.
Integrated analysis of these complementary genome-wide datasets allowed us to construct a global regulatory network model, which suggested that key regulators are activated sequentially during blood specification, but will ultimately collaborate to control many haematopoietically expressed genes.
This non-overlapping between the two datasets allows us to test the algorithm into two different contexts, so to prove that s2m is efficient on different polymer types.
