Sentence examples for datasets span from inspiring English sources

Long answer: The global HYCOM GLBu0.08 datasets span October 1992 to the present day using a 0.08° equirectangular coordinate system (a.k.a. "geographic" projection) spanning 80.48°S-80.48°N.

By contrast, the global HYCOM GLBa0.08 datasets span September 2008 to the present day using a complex "tripole grid"; MGET can access a 9 km Mercator-projected portion of this grid spanning 66°S-60°N 66°S-60°N

Together, these datasets span a range of read length from 50 bp up to full-length transcripts.

Using time-separated bathymetry surveys and aerial photography datasets spanning a period of many decades, this study establishes that indeed the bank positions are temporally dynamic.

The past decade has seen an explosion in the availability of high-throughput datasets spanning information on everything from DNA sequences to RNA transcript abundances, single-cell protein profiles, protein variants and metabolite profiles.

We assembled subsets of six Landsat-5 TM scenes and temporally-coincident MODIS datasets spanning the 2006 April October growing season in central-northern Arizona, which is characterized by large tracts of dryland forest.

Benford's law is an empirical observation which predicts the expected frequency of digits in naturally occurring datasets spanning multiple orders of magnitude, with the law having been most successfully applied as an audit tool in accountancy.

We produced two key spatiotemporal datasets spanning the Arctic Coastal Plain of northern Alaska (~60,000 km2) to evaluate climate-geomorphological controls on arctic tundra productivity change, using (1) a novel 30 m classification of polygonal tundra geomorphology and (2) decadal-trends in surface greenness using the Landsat archive (1999 2014).

Bona Fides: The world's broadest collection of public data has 100,000 datasets spanning 100 countries.

Extremely large datasets spanning hundreds of samples may simply preclude the feasibility of manual bioinformatics approaches altogether.

Probabilistic modelling requires access to wind datasets spanning at least one decade in order to capture the variability of wind conditions over a region.