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Applying this system, topographic datasets were produced over potential landing sites, which had been previously proposed based mainly on their purported geological significance.
As a result, 14 datasets were produced for each subject.
The datasets were produced using a MATLAB simulation of SAR taken from the Soumekh book [2].
It is important to emphasize that the English and French datasets were produced concurrently by the same organization, under identical conditions, with the only differences between them being the speakers, the spoken text, and the listener panels.
In the last years new approaches using satellite observations and other spatial datasets were developed to optimally extrapolate field data over large areas [10, 11] and a number of spatially explicit biomass and C datasets were produced for tropical regions [12 15, 4] or with global coverage [16 18].
5000 such datasets were produced, and in each of these datasets, the RMS was computed as outlined above.
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A comprehensive set of robust measures is necessary to provide sufficient information to effectively assess the accuracy of these modeled geospatial datasets being produced.
For each studied steganographic tool and algorithm, two datasets are produced: training and testing.
Global sea surface temperature datasets are produced combining in situ and space-borne measurements [3] as well as various satellite observations, which are then validated with buoys [4, 5].
This was important as this data set, unlike the HI and attack-phase datasets, was produced against a background of E. coli prey RNA.
Second, our method scales to work with the large datasets being produced today.
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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