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Spatializing and digitizing the dataset presents a new, improved basis for data dissection and visualization.
The combined dataset presents a consistent picture of the wave field within a hurricane.
In addition, the dataset presents other clear advantages.
At contrary, the dengue NS3 proteases dataset presents a clearly linear relationship, with RMSEPext and R 0 ext 2 values of the PLS model of 0.49 and 0.91.
The dataset presents an appropriate setting that allows us to test the relationship between ownership and R&D intensity/innovation performance under the investigation.
The class distribution in NG is fairly balanced (Fig. 4a) with a maximum frequency of 35 and a minimum frequency of 20 while the R52 dataset presents an highly imbalanced class distribution (Fig. 4b).
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c, Expanded dataset presented in Fig. 4c.
It is important to note that the dataset presented here is a spatial rendering of both Chandler's and Modelski's original datasets.
The dataset presented here can further be used as a normative standard to compare populations with musculoskeletal pathologies.
Despite these challenges and shortcomings of the Chandler and Modelski data, the combined dataset presented here is a significant advance to the understanding of urbanization and cities through history.
The dataset presented in this descriptor contains EEG recordings from human neonates, the visual interpretation of the EEG by the human experts, supporting clinical data and codes to assist access.
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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