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Our dataset, from key tectonostratigraphic units in the Sutlej valley, provides detailed insights into both the provenance of the sedimentary formations, and their tectonic history.
We obtained additional features from our dataset from five symmetric electrode pairs throughout the brain and from 14 symmetric electrode pairs in the DEAP dataset.
As a result, we count with a total of 157,408,012 tweets in our dataset from both ego and alter users.
Even if we partially controlled from time and space, by creating alternative views of our dataset from different regions in space and time, we still have a biased view of customer behaviour.
We pooled our dataset from Thomson-Reuters ISI Web of Knowledge but while ISI is a good resource, it comprises only a small subset of all existing journals and leaves out other source documents such as books and dissertations.
While we may ignore GitHub users that only contribute to private repositories this way, the decision was made in order to avoid noise in our dataset from individuals with a GitHub account that do not contribute to projects.
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We applied the program Modeltest [60] to choose the models of DNA substitution that best fit our datasets from among 56 possible models.
Therefore, we chose to remove them from our dataset for further study.
The haloarchaeal genomes in our dataset originate from archaea isolated from the Dead Sea, Israel (H. marismortui); Great Salt Lake, Utah, USA (H. utahensis) and Deep Lake, Antarctica (H. lacusprofundi).
As in the single-electrode-level analysis, we analyzed only valid data from the 10 subjects in our dataset and from the 21 subjects in the DEAP dataset.
Our dataset dates from January 2013 and our robustness analyses are thus based on the 2012 ranking.
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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