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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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expanded dataset

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "expanded dataset" is correct and usable in written English.
It can be used when referring to a dataset that has been increased in size or scope, often by adding more data points or variables. Example: "The researchers utilized an expanded dataset to improve the accuracy of their analysis."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

47 human-written examples

In the second expanded dataset, we included all species in the first expanded dataset plus 106 additional fungal species and 9 additional out-groups (138 species in total).

Finally, the expanded dataset is used to train a neural network to assess the overall effectiveness of the GA.

We used the expanded dataset to identify structural alerts that are present mostly in liver-toxic drugs, and their presence is unlikely due to random distribution.

Thanks to the Mobidia acquisition, the expanded dataset will allow App Annie customers to access estimates on app reach, engagement and retention, as well as analyze competitor apps, identify investment opportunities, and evaluate advertising revenue potential.

News & Media

TechCrunch

The Mobidia acquisition actually checks all three of those boxes as it's helping to accelerate the international reach of Usage Intelligence, while also bettering the product itself by way of the expanded dataset.

News & Media

TechCrunch

If increased statistical power is achievable with an expanded dataset it might even be possible to ultimately date the MRCA of all the geminiviruses.

Science

Plosone
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Human-verified similar examples from authoritative sources

Similar Expressions

13 human-written examples

First, each sampled unit is identically replicated a number of times equal to its sampling weight (rounded to the closest integer), so as to generate a sample that replicates the full target population.23The resulting expanded datasets are fully representative of the target populations and can be used to extract sequences of S bootstrapped samples of the same size of the original country samples.

<img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0017481.e030.PNG" class= inline-graphic"/> The proposed computational methodology includes four basic steps on the expanded datasets, in this order: (1) feature selection, (2) classification, (3) analysis and (4) filtering.

Science

Plosone

FluReF demonstrated robustness of prediction with temporally and geographically expanded datasets.

As clearly indicated by respective pairwise comparisons of original datasets and expanded datasets, the overlap between gene expression and SEREX-ovarian datasets is still minor.

Therefore, based on their ω estimates, genes HM00021, LRR and fzl were selected for further analyses using expanded datasets to explore possible adaptive evolution within the Heliconius radiation.

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Expert writing Tips

Best practice

When describing a dataset, be specific about what was added or changed to make it "expanded". Providing context helps readers understand the significance of the expansion.

Common error

Avoid simply stating that the dataset is "expanded" without explaining the nature of the expansion. Specify what new data or features were included and why they are important.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "expanded dataset" functions primarily as a noun phrase, typically serving as the subject or object of a sentence. It describes a collection of data that has been increased in size or scope. Ludwig AI confirms the correct usage of this phrase.

Expression frequency: Very common

Frequent in

Science

85%

News & Media

8%

Formal & Business

7%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "expanded dataset" is a grammatically correct and frequently used term, particularly in scientific and technical contexts. According to Ludwig, it serves to describe a dataset that has been enlarged or broadened in scope, often to enhance analysis or provide a more comprehensive view. While alternatives like "enlarged dataset" or "augmented dataset" exist, "expanded dataset" effectively conveys the idea of increased data and analytical power. Therefore, it's crucial to be specific about the nature of the expansion and its implications for the study or analysis being conducted.

FAQs

How can I use "expanded dataset" in a research paper?

In a research paper, use "expanded dataset" to describe a dataset that has been increased in size or scope for more comprehensive analysis. For example: "We conducted the analysis using an "enlarged dataset" to improve the statistical power of our findings".

What are some alternatives to saying "expanded dataset"?

Depending on the context, you can use alternatives such as "enlarged dataset", "augmented dataset", or "extended dataset". The choice depends on the specific nuances you want to convey about the dataset.

Is it better to use "expanded dataset" or "enlarged dataset"?

Both "expanded dataset" and "enlarged dataset" are acceptable. "Expanded" suggests a broadening in scope or detail, while "enlarged" simply refers to an increase in size. Choose the term that best fits the specific context.

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

A dataset qualifies as an "expanded dataset" when it has been increased in size, scope, or the number of variables it contains compared to its original form. This expansion is typically done to improve the comprehensiveness or statistical power of an analysis.

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Source & Trust

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Real-world application tested

Most frequent sentences: