Probabilistic modelling requires access to wind datasets spanning at least one decade in order to capture the variability of wind conditions over a region.
This study combines the following NHIRD datasets spanning from 1996 to 2004: registry for contracted medical facilities, registry for medical personnel, registry for contracted beds, registry for beneficiaries, registry for board-certified specialists, hospital discharge file, and registry for catastrophic illness patients.
The core Data Linkage System consists of links within and between seven state-based core population health datasets, spanning up to 40 years (Table 1), augmented through further links to an extensive collection of additional state-based and nationwide administrative databases as well as research and clinical datasets (Table 1 and Figure 1).
A more recent study with datasets spanning over 6,900 days came to the conclusion that while the existence of a second planet in the system is likely, periods around 2,500 days have high false-alarm probabilities, and gave a best-fit period of 7,586 days (almost 21 years).
52 In brief, the authors fitted their whole cell computational model to datasets spanning metabolomic, transcriptomic, and proteomic information.
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
We expect this type of analysis to gain further momentum as composite datasets spanning multiple conditions and time points continue to accumulate.
We have shown here that it is feasible to integrate various datasets spanning a large range of experimental questions and originating from various laboratories into a coherent unsupervised analysis.
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.
GEO [ 1] and ArrayExpress [ 2], establishment of standards (e. g. MIAME and MAGE, [ 3]), and more and more hybridizations at hand, attention is now turning to the interpretation of larger datasets spanning many experimental conditions.
