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The phrase "attributed to the data" is correct and usable in written English.
It can be used when discussing the source or origin of information, findings, or conclusions that are based on data.
Example: "The results of the study were attributed to the data collected over the past year."
Alternatives: "ascribed to the data" or "credited to the data".
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This difference may have been attributed to the Veteran data being collected over the telephone whereas DOPPS data were collected via written questionnaire.
However, it is still possible that the difference between households and businesses can be attributed to the different data collection process from different surveys.
Similarly, they found a low degree of spatial correlation, which was attributed to the BT data used in modelling that probably oversimplified the true spatial structure of BTV occurrence.
A common approach for representing high level information is by inferring gene ontology (GO) terms which may be attributed to the expression data experiment.
The unexpectedly low level of variability in gene expression levels between human and bovine fetal brain can also be attributed to the 80 data points examined per gene and the four replicate hybridisations (technical replicates) carried out for each species.
This is attributed to the fact the data intensive part of the workflow is limited by disk throughput and cannot be accelerated by increasing the CPU count.
User variability in data input cannot be solely attributed to the natural language data entry process; considerable user variation in data entry has been demonstrated even in DDSS that employ controlled vocabularies for input [ 36].
The slower data rate, can be attributed to the fact that the data has to travel through two wireless channels - the radio and the wifi.
Loci were attributed to the high-GC data set if the total GC content was more than 65% and to the low-GC data set if it was less than 60% (Guo et al. 2007).
This can be attributed to the lack of data passing between nodes, combined with an insignificant amount of overhead involved in running the application in parallel with MPI.
The difference may be attributed to the type of data analysis used compared with that of the present study.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com