data were removed for

USAGE SUMMARY

The phrase "data were removed for" is correct and usable in written English.
It can be used when explaining the reason or context for the removal of data in a study, report, or analysis. Example: "In the final report, it was noted that data were removed for confidentiality reasons."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

On these occasions, the trial was restarted for that particular animal and the time to fall was recalculated; these data were removed for analysis for that time point only.

Plosone

Due to the smaller size of this dataset there is a greater chance of low intensity data being correlated by chance, so data were removed for all probesets where the maximum normalized expression value never exceeded a value of 50 in any of the GI samples.

BMC Biology

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Therefore, the first trial data was removed for all conditions from subsequent dependent variables analyses and Fitts' law model derivation.

BioMed Research International

Individuals with missing phenotypic data were removed from the logistic regression for that specific trait.

BMC Evolutionary Biology

For these, the same amount data were removed as for the EST-like gappy alignments, but the residues to be deleted were either concentrated within alignment columns or randomly distributed throughout the alignment (from here on referred to as column-deleted and random-deleted, respectively).

BMC Evolutionary Biology

Obvious duplicates of data were removed and for many common metabolites e.g. amino acids and sugars only a single stereochemical form of the compound was retained.

Bioinformatics

After periods of missing data were removed there were 156,398 data points available for analysis.

BMC Veterinary Research

For quantification, color data were removed, image was inverted, brightness/contrast was adjusted evenly across the entire image, and average pixel intensity was acquired for a region of interest with a standardized area across sample comparisons.> Probes were hybridized according to the manufacturer's instructions (Lansdorp et al., 1996).

eLife

Identifying data were removed.

BMJ Open

No data points were removed for influence.

Environmental Health Perspectives

Details of which data points were removed for each analysis are indicated in Additional File 1.

BMC Evolutionary Biology

Expert writing Tips

Best practice

When using "data were removed for", clearly state the specific reason for the removal to maintain transparency and credibility in your writing. For instance, "Data were removed for being outliers".

Common error

Avoid using overly general explanations like "data were removed for quality issues". Instead, specify the exact criteria or process used to remove the data, such as "data were removed for exceeding a 5% error rate".

Linguistic Context

The phrase "data were removed for" functions as a passive construction, indicating that data underwent an action (removal) due to a specific reason. Ludwig AI confirms its usability in written English, particularly in scientific and analytical contexts. The examples show its role in explaining data handling procedures.

Expression frequency: Uncommon

Frequent in

Science

80%

News & Media

10%

Formal & Business

10%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "data were removed for" is a grammatically correct and usable construction, predominantly found in scientific and analytical writing. It serves to explain the reasons behind excluding specific data points, maintaining transparency and credibility. Ludwig AI identifies this phrase as suitable for written English. While alternatives like "data were excluded because of" exist, the original phrase remains a clear and effective choice. When using this phrase, always specify the reason for removal to avoid ambiguity and ensure the validity of your work.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data were excluded because of

Focuses on the cause of exclusion using "because of" instead of "for".

data were excluded from analysis because

Explicitly states the data was excluded from further analysis.

data were omitted due to

Replaces "removed" with "omitted" and "for" with "due to", emphasizing a more formal tone.

data were eliminated for

Uses "eliminated" instead of "removed", suggesting a more decisive action.

data were discarded for

Emphasizes the data being considered unusable by using the word "discarded".

data were filtered out due to

Emphasizes a filtering process that removed the data.

data were not considered due to

Highlights the decision not to consider the data, shifting the focus slightly.

the reason for removing the data was

Changes the sentence structure to focus on the reason for removal.

the data was taken out of consideration because

This version adds more words to emphasize that the data was not just eliminated but actually actively excluded from consideration.

data were retracted because

This term might denote an official removal of data, often in the scientific context.

FAQs

What does "data were removed for" mean?

It means that certain data points or sets were excluded from a dataset due to specific reasons, such as errors, inconsistencies, or irrelevance to the analysis.

What can I say instead of "data were removed for"?

You can use alternatives like "data were excluded because of", "data were omitted due to", or "data were eliminated for" depending on the context.

Is it grammatically correct to say "data was removed for"?

No, "data" is generally treated as a plural noun in academic and scientific writing, so the correct phrasing is "data were removed for".

When is it appropriate to use "data were removed for" in a report?

Use "data were removed for" when you need to explain why certain data points or sets were excluded from your analysis, ensuring you provide a clear and specific reason for the removal to maintain transparency.