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The datasets from this study are publicly available on the GEO repository (accession number GSE63561).
Chang et al. (2010) reported several rock mechanical property datasets from this study area, consisting of three different sedimentary sequences: faulted trench deposits, highly deformed accretionary complexes, and weakly deformed fore-arc basin sediments.
All datasets from this study have been submitted to NCBI Geo for public access.
Microarray datasets from 9 studies obtained from GEO, as well as the 2 datasets from this study are listed.
Those two datasets from this study have been submitted to the NCBI Gene Expression Omnibus http://www.ncbi.nlm.nih.gov/geo under accession number GSE30222.
Comparison between these three tools using a dataset of 12 exomes from 1000 Genomes and the two datasets from this study highlighted a clear trend.
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The complete microarray dataset from this study can be sourced at NCBI's Gene Expression Omnibus (GEO accession GSE15184).
Upon acceptance for publication, the complete raw dataset from this study will be deposited in the Gene Expression Omnibus database and appropriately referenced in the paper to assure open access.
In addition, the population PK/PD analysis demonstrated no association between clinical outcomes and the infecting pathogen MICs within the PK dataset from this study.
Therefore, the genetic dataset from this study represents a solid basis for future identification of morphologically similar Nannomys species via DNA barcoding (using e.g. evolutionary placement algorithm; [ 69]).
Comparative analysis of hypervariable regions detected in this analysis was performed using genomes available from GenBank ftp://ftp.ncbi.nih.gov/genomes/ and metagenomic datasets available from this study and Camera database http://camera.calit2.net/index.php.
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