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A statistical significance may be computed by pointing out those predictions that are very specific to the dataset - slightly changed dataset will no more generate a prediction.
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This module requests the full details of any changed datasets and translates these into CSW transactions that are pushed to Micka.
To resolve this question, we used the Landsat-derived Global Forest Change dataset to estimate deforestation rates between 2000 and 2012 inside and outside of 60 nature reserves spread across the tropics.
Deforestation estimates derived from wall-to-wall photointerpretation, official records (e.g. felling licences), the CORINE land-use/land cover changes dataset and a combined approach (hereafter termed "the Deforestation Map") are compared in two regions in Ireland for the period 2000 to 2012.
The USGS topographic change dataset (http://topochange.cr.usgs.gov/) was used to identify mines and other major human-based changes in topography.
Spearman-rank-ordering correlation was additionally performed on the fold changes dataset at each time point as described in Methods.
A Shapiro-Wilk normality test for the fold change dataset was performed prior to the correlation analysis.
The treatment change dataset fitted a normal distribution (KS p > 0.05) and therefore was not transformed prior to multiple regression.
In order to reduce type II errors, a hierarchical clustering analysis using the complete-linkage method was performed on the entire raw fold-changes dataset.
The 30-m resolution multi-date National Land Cover Database NLCCD) provided a comprehensive base land-cover change dataset (Homer et al. 2007; Fry et al. 2011).
These combined observations are used to determine the maximum enrichment score of the query (seed) motif in the dataset and, by inference, to quantify the likely magnitude of the miRNA repression of gene transcription given the observed fold-change dataset.
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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