extensive dataset

USAGE SUMMARY

The phrase "extensive dataset" is correct and usable in written English.
You can use it when referring to a large amount of data related to a particular subject, which can then be studied or analyzed. For example, "This research paper discusses the effects of climate change using an extensive dataset collected over the past decade."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Fracture and permeability facies were determined using an extensive dataset of 99 hydrogeological wells.

Journal of Hydrology

DCLG refused to release the up to date and more extensive dataset.

BBC

An exhaustive analysis of an extensive dataset for a single tropical country is lacking.

Fungal Ecology

Due to the extensive dataset, with many thousand sample plots, a parallelization is necessary.

Forest Ecosystems

As a reference, we use an extensive dataset of altitudes of gauge zeros measured by GPS collocated at the gauges.

Advances in Space Research

A total of 132 runoff events was analysed, providing an extensive dataset on P values under different hydrological conditions.

Journal of Hydrology

This study uses an extensive dataset obtained from P. radiata plantations in the central North Island, New Zealand.

New Zealand Journal of Forestry Science

We test our hypotheses on an extensive dataset, comprised of all USPTO granted patents in the biopharmaceutical industry between 1976 and 2006.

Research Policy

In this study, an extensive dataset of soil profile chemistry and mineralogy is compiled from the Cowlitz River Chronosequence (CRC), WA USA.

Geoderma

For this purpose, pedestrian accident frequency models were developed for New York City based on an extensive dataset collected from different sources over a period of 5 years.

Safety Science

The extensive dataset which was collected included rainfall, evapotranspiration, soil property data, channel geometry, phreatic surface elevation, soil water potential and stream discharge.

Journal of Hydrology

Expert writing Tips

Best practice

When using the phrase "extensive dataset", clearly define the scope and characteristics of the data being referenced to provide context and clarity for your audience.

Common error

Avoid using "extensive dataset" if the dataset is actually quite limited in scope or size. Ensure the adjective accurately reflects the quantity and breadth of the data.

Linguistic Context

The phrase "extensive dataset" functions as a noun phrase where the adjective "extensive" modifies the noun "dataset". It indicates a large and comprehensive collection of data used for analysis or study, as supported by Ludwig.

Expression frequency: Very common

Frequent in

Science

100%

News & Media

0%

Formal & Business

0%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "extensive dataset" is a grammatically correct and frequently used term, particularly within scientific and academic contexts. As Ludwig AI states, it refers to a large amount of data related to a specific subject that can be studied or analyzed. The term emphasizes the comprehensiveness and robustness of the data. Best practices include clearly defining the scope of the dataset when using the phrase and ensuring that the dataset actually warrants being called "extensive". While alternatives like "comprehensive dataset" and "large-scale dataset" exist, "extensive dataset" remains a clear and appropriate choice for describing substantial collections of information.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Comprehensive dataset

Replaces "extensive" with "comprehensive", implying a complete and thorough collection of data.

Large-scale dataset

Substitutes "extensive" with "large-scale", emphasizing the magnitude of the data.

Vast dataset

Uses "vast" instead of "extensive", highlighting the immense size of the dataset.

Comprehensive data collection

Replaces "dataset" with "data collection", focusing on the act of gathering the data.

Wide-ranging dataset

Employs "wide-ranging" to describe the dataset, suggesting a broad scope of information.

Substantial dataset

Uses "substantial" to denote a significant amount of data.

Detailed data resource

Changes "dataset" to "data resource", highlighting the value and utility of the data.

Broad data repository

Replaces "dataset" with "data repository", emphasizing the storage aspect of the data.

In-depth data compilation

Substitutes "extensive" with "in-depth" and "dataset" with "data compilation", stressing the thoroughness of the data assembly.

Exhaustive data archive

Uses "exhaustive" instead of "extensive" to emphasize the completeness of the archive and "dataset" is replaced with "data archive" to stress the storage aspect of the data.

FAQs

How can I effectively use the phrase "extensive dataset" in a research paper?

In a research paper, use "extensive dataset" to highlight the robustness and comprehensive nature of your data. Provide specific details about the dataset's size, sources, and characteristics to support your claim. For instance, you might say, "Our analysis is based on an "extensive dataset" comprising over 10,000 data points from various sources."

What are some alternatives to "extensive dataset" that I can use in my writing?

Depending on the context, you can use alternatives such as "comprehensive dataset", "large-scale dataset", or "vast dataset". The choice depends on the nuance you want to convey.

Is it appropriate to use "extensive dataset" in a formal business report?

Yes, "extensive dataset" is suitable for formal business reports when referring to a significant amount of data used for analysis or decision-making. Be sure to quantify the dataset to emphasize its scale and relevance.

What makes a dataset qualify as an "extensive dataset"?

A dataset can be considered an "extensive dataset" when it includes a large volume of data points, covers a broad range of variables, or spans a significant time period. The term suggests that the dataset is substantial enough to allow for thorough and reliable analysis.