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modest dataset
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "modest dataset" is correct and usable in written English.
It can be used to describe a dataset that is relatively small in size or scope compared to others in a given context. Example: "The study was based on a modest dataset, which limited the generalizability of the findings."
✓ Grammatically correct
Science
News & Media
Alternative expressions(1)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
3 human-written examples
These are just a few examples of what can be found by mining a modest dataset of just about four million galaxies.
News & Media
The limitations of our study are the modest dataset size and the fact that the study was not designed for the comprehensive detection of common CNVs.
Science
However, even with this modest dataset, it was clear that existing bioinformatics tools have difficulties in correctly predicting the known DR-altering and DR-neutral nsSNVs.
Science
Human-verified similar examples from authoritative sources
Similar Expressions
57 human-written examples
Nevertheless, modest datasets, such as reported here, can be useful for identifying rare variants for further validation in follow-up studies.
Science
Resampling procedures use substantial computer resources and require significant turnaround time even for modest traditional datasets in molecular phylogenetics.
Science
The alternative strategy, and the one used in this study, is to use a modest multi-gene dataset combined with phylogenetic simulations to explore the predicted gain in support values as more (simulated) data are added to a study.
Science
Our own study is a modest addition to the dataset of prospectively derived data and is supportive of earlier conclusions but it is still necessary to conduct larger randomized trials of DEX in AWS.
Science
Removing explicit character ordering and weighting from the parsimony analyses of the morphological dataset had modest effects.
Science
No MH IIα/IIβ recombinants were identified in the parentage analysis carried out as part of this study, but the modest size of this dataset had limited power to identify meiotic recombination.
Science
Its performance on the LPL and CHEK2 datasets, for example, suggest that SKAT is not well suited for analyses of datasets having modest numbers of casual variants that contribute to a relatively small total PAR (8.4% for LPL and 3.81% for CHEK2).
Science
Analyses of those datasets with modest ascertainment bias can dependably infer selected regions, resulting in an enhanced set of genes targeted by positive selection [30].
Science
Expert writing Tips
Best practice
When using "modest dataset", consider whether a more specific term like "small" or "limited" would be more precise in your context. Be mindful of the connotations of "modest", which can also imply humility or moderation.
Common error
Avoid drawing broad conclusions from a "modest dataset". Acknowledge the limitations of the sample size and its potential impact on the generalizability of your findings. Larger datasets often provide more robust and reliable results.
Source & Trust
80%
Authority and reliability
4.1/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "modest dataset" functions as a noun phrase where the adjective "modest" modifies the noun "dataset". As confirmed by Ludwig, it is a grammatically correct construction, commonly used to describe a dataset that is not particularly large.
Frequent in
Science
66%
News & Media
33%
Formal & Business
0%
Less common in
Encyclopedias
0%
Wiki
0%
Reference
0%
Ludwig's WRAP-UP
The phrase "modest dataset" is a grammatically sound and usable expression to describe a dataset that is relatively small in size or scope. According to Ludwig, it is correct and usable in written English. While the phrase is not very common, with only a few examples available, it is primarily used in scientific and news contexts. When using "modest dataset", remember to acknowledge the potential limitations of drawing conclusions from limited data. Consider alternatives like "small dataset" or "limited dataset" for clarity. Be aware of potential errors in interpreting results due to sample size.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
small dataset
Replaces "modest" with a more direct synonym.
limited dataset
Emphasizes the restricted nature of the dataset.
compact dataset
Focuses on the small size of the dataset in terms of storage or complexity.
constrained dataset
Highlights the limitations imposed by the dataset's size.
reduced dataset
Suggests that the dataset has been made smaller.
smaller-scale dataset
Adds more detail regarding the dataset size
bite-sized dataset
Uses a more informal term to describe the dataset size.
manageable dataset
Implies that the dataset is easy to handle due to its size.
mini dataset
Another word for small, and slightly more informal.
basic dataset
Conveys simplicity and lack of extensive features.
FAQs
What does "modest dataset" mean?
A "modest dataset" refers to a dataset that is relatively small in size or scope, which may limit the conclusions that can be drawn from it.
What are some synonyms for "modest dataset"?
Alternatives to "modest dataset" include "small dataset", "limited dataset", or "compact dataset". The best choice depends on the specific context.
How does the size of a dataset affect the results of an analysis?
A larger dataset generally allows for more robust and reliable statistical analysis. "Modest datasets" may not provide enough statistical power to detect small but meaningful effects.
Is it acceptable to use a "modest dataset" in research?
Yes, but it is important to acknowledge the limitations of using a "modest dataset" and to interpret the results cautiously. Clearly state any potential biases or constraints in your analysis.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
80%
Authority and reliability
4.1/5
Expert rating
Real-world application tested