Marker sorting and mapping were performed with all the available genotype data simultaneously, but with the aim of constructing two sorted genotype datasets, one pure AFLP dataset for the larger subset of individuals (henceforth abbreviated as the A-set) and one mixed SNP+AFLP dataset intended for the smaller subset (abbreviated as the S+A set).
Experiments on a bird image dataset intended for ecological investigations showed that our method detects birds with high precision.
More results can be found in the Additional file 1. Fig. 3 Examples of detection results on the bird image dataset intended for ecological investigations.
It should be kept in mind, however, that these rule sets were derived from a far smaller dataset and not intended for predictive purposes.
This dataset is intended for researchers, students, and policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.
This layer is part of a collection of GIS data for Monterey County in California.This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.
This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.
This dataset is intended for researchers, policy makers, students, and educators for basic geographic analysis and mapping purposes.
The datasets of rain events and WDR measurements with high spatial and temporal resolution are made available online to download and are intended for model development and validation.
Sherpa now supports stacks of datasets via the datastack package, which is intended for users who have multiple datasets to analyze, such as multiple observations (split obsid) of the same source or spectra of extended X-ray sources.
The data contained in these datasets were thus not originally intended for research purposes.
