Sentence examples for data compatibility with from inspiring English sources

Exact(1)

Key benefits of this approach include ease of implementation, compactness of instrumentation, simplicity of control, lack of moving parts, versatility of application, quality of data, compatibility with existing optical mapping setups, and low cost.

Similar(59)

Even though the network used an externally managed system where all equipment and support was provided by a commercial company, there were difficulties with data compatibility between nine organisations using three different CT imaging systems.

Choice of temporal precision is also influenced by the relative ease in obtaining coarse data, their compatibility with available energy price data, and avoidance of computational overheads when data sets expand.

Data compatibility should also be considered along with the choice of software.

Good data compatibility.

Nevertheless, reliable data concerning compatibility with Pb-15.7Li are missing until now.

This coordinate system also assured that the data retain compatibility with most publically available shapefiles for future projects and applications.

FRAMES utilizes best practices for data and metadata organization enabling consistent data reporting and compatibility with a variety of standardized data protocols.

When completed by most of the modern and also traditional tomographic and phase reconstruction operators and when the support of large data volumes and compatibility with real-time data monitoring is enabled, the ODL will be a valuable tool at the imaging beamlines for fast prototyping to facilitate advances.

A value, either above 1.4 (misfitting) or below 0.6 (overfitting), indicates how well any set of empirical data met the compatibility with the model [ 31].

To allow for an integrative approach, these criteria characterize the political, ecological, economic and technological performance of baseline approaches, and include environmental effectiveness, equity, transparency, cost effectiveness, economic attractiveness, data and method compatibility with existing standards and output accuracy.

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