Sentence examples for maintaining datasets from inspiring English sources

Exact(2)

"Government could use Brexit as an excuse to stop maintaining datasets that are produced to support EU programmes like Inspire and Eurostat, or to meet EU targets on air pollution and water quality.

TRS received a research grant of Euro 45,000 from Boehringer Ingelheim for extracting, merging and maintaining datasets from the primary care diagnostic centres.

Similar(58)

The startup is also offering the ability to create and maintain datasets for automatic testing, along with the protection of being able to speedily tag and restore databases.

BGD currently maintains datasets and tools for both OGSv1/Btau_3.1 and OGSv2/Btau_4.0 to allow users to compare assemblies.

For the largest datasets, e.g., Triticum and Zea, it was necessary to undertake this strategy twice, so as to maintain datasets of manageable size throughout the processing.

In our pipeline, we implemented conditions to maintain dataset quality which primarily consisted of elimination of low quality predicted proteins and discarding of partial sequences.

With fragmented, discontinuous care, and different agencies maintaining isolated datasets, there is a lack of access to continuous patient-level data.

The HIMS provides doctors with a whole set of helps ranging from maintaining a dataset of high-risk farmers, scheduling and reminding (via land or cell-phones) follow-up intervention services, reviewing individual performance and intervention history, to facilitating (via built-in standard operating procedures) delivery of intervention counseling etc.

SPARK overcomes both limitations by performing in-memory caching for each executor, which eliminates the disk IO bottleneck on smaller datasets, while maintaining scalability to larger datasets by spilling data that exceeds memory availability to disk.

They maintain 326 datasets covering all aspects of the city: city council districts, park locations, historic structures, demographics, businesses, etc.

He wants to build a big data company that creates and maintains valuable datasets that other Websites and developers can then build their apps on top of.

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