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The primary data describing datasets A, B and C are presented in Additional file 1.
Additionally, we adopted metadata standards for describing datasets and provenance such as Dublin Core, Data Catalog Vocabulary and Vocabulary of Interlinked Datasets.
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We first describe datasets used for training and testing our method.
The fusion technique in our work describes datasets with feature labels and defines algorithms by their inputs and outputs.
The described datasets in "Datasets description" section [2 4] are available at the following links: 1-http://ocslab.hksecurity.net/Datasets/driving-dataset.
As such, the term "big data" is often used to describe datasets that have grown in size well beyond exabytes and zettabytes.
Finally, we built a consensus dataset (C-dataset) with 87 ESRs that were present in all three described datasets.
To identify pathways and associations to other previously described datasets, Gene Set Enrichment Analysis (GSEA) [ 26] was performed.
EML allows data publishers to describe datasets instead of having to map attributes to a fixed database schema (26 ).
Statistics that describe datasets X and Y are saved in the summaryX-YACCA.txt and summaryY-YACCA.txt files respectively.
We used the above described dataset to derive a magnetic field model for epoch 2005.0.
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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