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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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peripheral data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "peripheral data" is correct and usable in written English.
It can be used in contexts where you are referring to data that is secondary or not central to the main focus of a discussion or analysis. Example: "In our research, we found that the peripheral data collected during the study provided valuable insights into the participants' behavior."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

It is firstly introduced to model multiple fields (V1 V2 V3 complex) and also to improve the representation of peripheral data.

Apparently, the calculated Zernike polynomial coefficients are different when peripheral data points are discarded.

Many previous reports have deliberated over the interpretation of biochemical data collected remotely from the source; CSF, blood (plasma) and urinary measures provide peripheral data remote from the CNS monoamine pathways producing them.

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

Peripheral ELISA data and CNS transcription data were analysed by two-way ANOVA with ME7/NBH and poly I C/saline or time post-poly I C as factors, with Bonferroni post hoc tests.

At 4 h, only few SGC were activated in the V1 (anteromedial) region of the ganglion, compared to the peripheral zone (data not shown).

Few studies, however, have been able to acquire peripheral neuromuscular data (e.g. joint force and electromyograms [EMG]) online with fMRI measurements.

Here, we illustrate the application of CP analysis for detecting discrete changes in ambulatory, peripheral physiological data leading up to naturally occurring panic attacks (PAs).

There is a rich collection of library functions in the C18 compiler, providing general utilities, peripheral control, data manipulation, and mathematical functions.

A demonstration that the VT for a compound is approximated by the ratio fP/fND provides confidence in drug transport by passive diffusion and hence the estimation of CFT from peripheral plasma data.

To note, we also observed a similar decrease in eosinophils in peripheral blood (data not shown).

Science

Plosone

These discrete foci intensely labeled with Cby or acetylated-α-tubulin were no longer noticeable in adult peripheral lungs (data not shown).

Science

Plosone
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Expert writing Tips

Best practice

When using "peripheral data", clearly define its relationship to the core data to avoid confusion. Specify how it supports or complements the main findings.

Common error

Avoid drawing major conclusions solely from "peripheral data". Ensure that primary data supports your core arguments, using peripheral data for supplementary insights only.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "peripheral data" functions as a noun phrase, typically serving as the object of a verb or preposition. It denotes data that is supplementary or secondary to the primary focus of analysis, as demonstrated by Ludwig's examples.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "peripheral data" refers to supplementary or secondary information, often used in scientific contexts to add context or support primary findings. As Ludwig AI confirms, the phrase is grammatically correct. While examples are rare, its usage is consistent with its intended meaning. Related phrases include "secondary data" and "ancillary data", offering alternative ways to express similar concepts. When using "peripheral data", clarity is key: always define its relationship to the core data. Be cautious about drawing major conclusions solely from this type of data; it should primarily serve to enhance, not replace, your core analysis.

FAQs

How can I effectively integrate "peripheral data" into my analysis?

Begin by establishing the primary data's role, then introduce "peripheral data" to support, contextualize, or offer alternative perspectives on the main findings. Ensure clear distinctions between the two.

What is the difference between "peripheral data" and "secondary data"?

"Peripheral data" refers to supplementary information, while "secondary data" is data reused from other studies. Peripheral data can be collected alongside primary data, while secondary data is always pre-existing.

When is it appropriate to exclude "peripheral data" from a report?

If "peripheral data" is irrelevant, unreliable, or detracts from the clarity of the main findings, it should be excluded. Prioritize data that directly supports the core arguments.

Are there specific fields where "peripheral data" is more commonly used?

"Peripheral data" is frequently utilized in scientific research, particularly in fields like neuroscience and ophthalmology, to provide context or alternative insights alongside primary experimental results. It is also used in analysis of "peripheral blood", for example.

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Source & Trust

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Authority and reliability

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Real-world application tested

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