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From these imaging data a variety of visualizations can be constructed and quantitative information extracted.
For relational data, a variety of dependencies have been studied, such as conditional functional dependencies ((mathsf {CFDs})) [23] and denial constraints [4].
To cope with big data, a variety of techniques, methods, and technology have been developed in recent years, which are surveyed next.
To evaluate paleointensity data, a variety of additional procedures such as the partial thermoremanent magnetization (pTRM) check (Coe 1967), pTRM tail check (Riisager and Riisager 2001), or the IZZI protocol (Yu and Tauxe 2005) have been introduced, but they require more time and labor.
For all models used in the analysis where ω is estimated from the data, a variety of starting ω values was used for the calculation of likelihood estimates.
For those who indicated that they were routinely backing up their data, a variety of methods were reported, including compact discs and thumb drives/memory sticks.
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In order to bridge RDF data publishing and RDF data consumption, a variety of semantic data models have been proposed for the provenance and attribution metadata.
The main idea here is to offer data spanning a variety of data sources and data types.
This method can be extended to incorporate data from a variety of data sources, including congenic and consomic data.
Common metadata to manage heterogeneous data from a variety of data sources.
Both the EOL GNR and the TNRS services provide data from a variety of data sources.
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CEO of Professional Science Editing for Scientists @ prosciediting.com