Sentence examples for aggregated datasets from inspiring English sources

The phrase "aggregated datasets" is correct and usable in written English.
It can be used when referring to collections of data that have been compiled from multiple sources for analysis or reporting purposes.
Example: "The research team analyzed the aggregated datasets to identify trends and patterns in consumer behavior."
Alternatives: "compiled data collections" or "combined data sets".

Exact(18)

Both the climate and the soil data used for the simulations are strongly aggregated datasets.

However, it may prove difficult to validate particular methods prior to access being granted to the data requested, particularly for DE searching for unforeseen correlations across aggregated datasets.

Finding novel gene regulatory modules and networks from aggregated datasets containing a high diversity of tissues and developmental stages.

In exchange for their data, contributors will receive ongoing access to high-quality curated, annotated, globally aggregated datasets which can be utilized for database interrogation, pertinent statistical data correlations, and meaningful data outcomes and applications.

Aggregated datasets of 48 microarrays from tumor tissues and 35 microarrays from normal tissues were used for independent validation.

Previous transfer functions are based on aggregated datasets that are composed largely of data from high-income countries.

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Similar(42)

Specifically, we constructed and analyzed an (artificially) aggregated dataset using the survey data and compared the results to a "gold-standard" analysis based on the patient-level data.

Further development of tools and models able to link and aggregate datasets from various sources and types is crucial to enable detailed analysis and rich visualizations.

In addition, we gathered data at national level between 1950 and 1989, allowing us to aggregate datasets to the current (2013) territorial boundaries and thus accounting for political border changes that occurred during our study period.

Data that passed the verification process were then placed into sport-specific aggregate datasets for use by external researchers.

Advances in the area of big data have attempted to address the non-uniformity in aggregate datasets by using different data models.

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