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Primary forest cover for the entire DRC for the year 2000 was derived from Landsat imagery by the University of South Dakota, the Observatoire Satellital des Forêts d'Afrique Centrale (OSFAC) and University of Maryland producing a dataset identified as Forêts d'Afrique Centrale Evaluées par Télédétection (FACET) [66].
To ensure our sampling approach accurately simulated multiplexing, we re-sequenced the E. coli cDNA library, this time multiplexed with 11 unrelated libraries in the same HiSeq lane, producing a dataset with approximately 15 million total fragments.
Using one-dimensional gel electrophoresis coupled to liquid chromatography-linked tandem mass spectrometry, we analysed total or fractionated protein extracts of partially sporulated T. gondii oocysts, producing a dataset of 1304 non reduntant proteins (~18% of the total predicted proteome), ~59% of which were classified according to the MIPS functional catalogue database.
Since simulation studies require molecular genetic and pedigree datasets to ascertain selection methods, our primary aim was to develop a software program capable of producing a dataset for a base population in the honey bee and which could be used to implement marker-based selection procedures.
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And the University of Maryland produces a dataset that allows people to examine forests in great detail, but only once a year.How then to bring the data together and make them more useful?
This process finally produces a dataset of 357,857 firms for 2005 2007.
The measurements (5 for each unit) were pooled to produce a dataset for each unit at each location.
Third, imputation algorithms are designed to produced a dataset that can be used for secondary analyses based on summary statistics and not individual values.
This selection process produced a dataset which consisted of compounds and their corresponding targets, where a compound may be related to more than one target.
In this case, we first produced a dataset without annual components or the linear trend from the raw data in the same way as for the first detrended dataset, although we estimated annual components between January 1 , 1997 and January 1 , 2011
We produced a dataset of the ego network of more than 1000 users, retrieving their timelines and timelines of their alters for a total of more than 150 Million tweets.
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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