Sentence examples for datasets in general from inspiring English sources
GeoDCAT-AP is a metadata profile which is a combination of the INSPIRE metadata profile for spatial data and the W3C's DCAT application profile for public sector datasets in general.
It provides the first comprehensive evaluation of ML estimation of k for highly overdispersed datasets (i.e. those with k<1); it reports the coverage accuracy of CIs derived from those estimates; and it examines potential biases in estimation due to methods and errors of data collection, with application to epidemiological datasets in particular and biological datasets in general.
Even when the same mutant pairs are considered, the technical variation can lead to some disagreement in the detection results and to relatively large inconsistency between the datasets in general [ 8, 11].
Together, these increase the relevance of our findings to cancer datasets in general, and in particular to data which have been collected in times prior to the introduction of more sophisticated modes of data entry.
*raw dataset ~proteins purified #using LPIT > 300 ^medium confidence experimental reports Based on our success in identifying valid ING interacting proteins from the unfiltered dataset in Krogan et al., we strongly agree with Hart et al. that the research community would be much better served by the release of raw interaction datasets in general for comparison and consolidation.
Constructing a complex network of the big textual data, the global properties of the network reveals the nature of dataset in general.
Several interesting findings about the system and the dataset, in general, were observed.
While we are able to compute the optimal τ threshold for a test dataset, in general we would not have access to τ *.
The predictive abilities using five times 5-fold CV of datasets resulting from first stage analysis of all spatial and non-spatial models plus the mixed datasets were in general very similar within sampling strategies (Table 7).
The datasets are, in general, much larger, richer and of higher quality than individual laboratories could normally generate' [ 5].
The datasets are in general agreement with each other at two different scales.
