Sentence examples for data are faced with from inspiring English sources

These data are faced with some Early Pleistocene climatic cycles recorded in long and continuous pollen sequences.

But when the systems used to store the data become obsolete, those responsible for the data are faced with formidable challenges if they are to continue to retrieve the data and to make them available.

Without the ability to decrypt their data on their own, security experts said that victims who had not backed up their data were faced with a choice: Either live without their data or pay.

Companies that collect and analyze data from social media, news and other data streams are faced with several challenges that concern storage and processing of huge amounts of data.

In relation to biodiversity data, planners are faced with questions including: what decisions to make using existing data; which data to ignore; and what might be the most cost-effective types of additional data.

However, in analysis of experimental data we are faced with the opposite situation: we know the observed SCR data but not SA, and seek to estimate the SA time series that generated these SCR data.

Scientists and data managers are faced with handling,mining and preserving huge amounts of metabolomics data.This paper describes standards embedded experiments,where data annotation is part of the standard operational procedures.Data standards can boost metabolomics research, and where there is a will, there is a way!

Data scientists are faced with the challenge of analyzing large-scale graphs that are changing dynamically, while existing tools and metaphors for data collection, processing, storage, and analysis are not suitable for handling large-scale evolutionary graphs.

Traditional data center networks (DCNs) are faced with many challenges with the development of cloud computing.

Once expression data is available, biologists are faced with the task of extracting (new) knowledge associated to the underlying biological phenomenon.

This deluge of data challenges scientists in many ways, as they are faced with data management issues and analysis and visualization drawbacks due to the limitations of current bioinformatics tools.