Unified datasets

USAGE SUMMARY

The phrase "Unified datasets" is correct and usable in written English.
You can use it when referring to datasets that have been combined or integrated to create a single, cohesive set of data for analysis or reporting. Example: "The research team was able to draw more accurate conclusions by analyzing the unified datasets from multiple sources."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

12 human-written examples

For the unified datasets, however, both RF and LDA attained top scores.

BioMed Research International

Notably, none of the image-derived features were present in the top selected features of the unified datasets, as shown in Tables 1 and 2. In order to assess the consistency of the ranking of image features, 50 repetitions of the random forest algorithm were executed for each of the unified datasets derived by the four imputation methods (m.i, nr.i, u.i, and b.i).

BioMed Research International

Additionally, in the same linear perspective, the image data points present better class separation in the unified datasets, as denoted by the crossed marks in the PCA and LDA scores plots.

BioMed Research International

This time, however, for the derivation of the unified datasets we replicated the image features 10 times, so adding 310 replicated image features, in order to balance the feature size effect with the microarray features.

BioMed Research International

It is worth noting the dramatic improvement of the predictor sets inferred by the unified datasets (although biased), in terms of classification performance as well as informational content regarding the explained variation.

BioMed Research International

The lda function (having CV = True) was executed 50 times on each dataset (value imputations were applied each time to the unified datasets), in order to assess the variability of the attained accuracy performance for the melanoma class.

BioMed Research International

Human-verified similar examples from authoritative sources

Similar Expressions

48 human-written examples

Data fusion is the process of combining data gathered from two or more sensors to produce a more specific, comprehensive and unified dataset of the inspected target.

Talanta

This article presents a unified dataset of 63 points compiled from three published laboratory studies for the most common type of improved household cookstove used in the developing world a cylindrical, natural draft, shielded, wood-fired cookstove.

Energy for Sustainable Development

Samples the unified dataset (Flat Map Sampling).

Journal of Big Data

Partitions the unified dataset into n partitions, using the received partitioning ranges (Flat Map).

Journal of Big Data

Having a unified dataset is also important in a world where there are more crossover stars between music, movies, and sports than ever before.

TechCrunch

Expert writing Tips

Best practice

When using "unified datasets", clearly define the criteria used for unifying the data to ensure transparency and reproducibility.

Common error

Ensure all datasets use consistent units and data types before unifying them to avoid skewed analyses and incorrect conclusions.

Linguistic Context

The phrase "unified datasets" functions as a noun phrase, where "unified" modifies the noun "datasets". It is used to describe a collection of datasets that have been combined or integrated into a single, cohesive set. Ludwig AI affirms its usability in written English.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, "unified datasets" is a grammatically sound and frequently used term, particularly within scientific and academic fields, to describe datasets that have been combined or integrated. As Ludwig AI explains, it's used to emphasize the cohesive nature of data resulting from integration. When employing this phrase, ensuring data consistency and clarity in the unification process is paramount. Alternatives like "integrated datasets" or "consolidated datasets" may be suitable depending on the nuance you wish to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Integrated datasets

Focuses on the integration process, emphasizing the combination of different datasets.

Consolidated datasets

Highlights the act of bringing datasets together into a more manageable form.

Combined datasets

Emphasizes the simple act of joining datasets together.

Merged datasets

Suggests a closer blending of datasets, implying some level of homogenization.

Aggregated datasets

Indicates that datasets have been collected and summarized into a single set.

Harmonized datasets

Implies that datasets have been adjusted to ensure consistency and comparability.

Standardized datasets

Emphasizes that datasets have been conformed to a common standard or format.

Centralized datasets

Highlights that datasets have been brought together to a single location or system.

Linked datasets

Focuses on establishing relationships and connections between different datasets.

Homogenized datasets

Suggests datasets have been made uniform in structure and content.

FAQs

How do I use "unified datasets" in a sentence?

Use "unified datasets" when you're referring to multiple datasets that have been combined into one for analysis. For example: "The analysis was performed using "unified datasets" from various sources".

What are some alternatives to using "unified datasets"?

Depending on the context, you could use alternatives such as "integrated datasets", "combined datasets", or "consolidated datasets".

What's the difference between "unified datasets" and "integrated datasets"?

"Unified datasets" emphasizes the result of making the datasets one whole and harmonious set, while "integrated datasets" focuses on the process of combining them. In many cases, they're interchangeable.

When should I use "harmonized datasets" instead of "unified datasets"?

Use "harmonized datasets" when the emphasis is on making the datasets consistent and comparable, especially when they originate from different sources with varying standards. "Unified datasets" is a more general term.