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The locations and forest types of the dataset were shown in Fig. 1.
Synchronisation results from this dataset were shown in Section 2.3.2 and the synchronisation-related parameters were listed in Table 2.
According to the experiment's description, LaMem is the "largest annotated image memorability dataset to date (containing 60,000 images from diverse sources)." The scientists built the LaMem data set through an online crowdsourcing survey where a pool of participants, 27 times larger than the previous dataset, were shown a series of images and asked to identify which pictures they recognized.
According to the experiment's description, LaMem is the "largest annotated image memorability dataset to date (containing 60,000 images from diverse sources)." The scientists built the LaMem data set through an online crowdsourcing survey where a pool of participants, 27 times larger than the previous dataset, were shown a series of images and asked to identify which pictures they recognised.
Many of the genes that were downregulated over 3 or 6 hours in the microarray dataset were shown to have putative binding sites for the regulated microRNAs in their 3' UTR.
Average values for wild-type and cpx-1 mutant voltage-clamp recordings from the same dataset were shown in Figures 2 4 and Figure 6.
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The spatial extent of each dataset is shown in 1a.
Uniformity in the training and test dataset was shown to be important in deriving PTFs.
The characteristics of the dataset are shown in Table 6.
A frame from this dataset is shown in Fig. 5.
The composition of each dataset is shown in Table 1.
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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