Sentence examples for datasets generated by the from inspiring English sources
A smaller portion of canned analyses available within Datasets2Tools are datasets generated by the LINCS consortium17 and stored within the LINCS Data Portal18.
The purpose of Data.gov is to increase public access to high value, machine readable datasets generated by the Executive Branch of the United States federal government.
The datasets generated by the NOMAD and ACS instruments and analysed in this study will be available in the ESA PSA repository, https://archives.esac.esa.int/psa, after the proprietary period.
BSEA views structures obtained from different datasets generated by the bagging technique as nodes in a graph, and adopts graph theory to find the most representative structure.
The datasets generated by the NOMAD and ACS instruments and analysed during the current study will be available in the ESA Planetary Science Archive repository, https://archives.esac.esa.int/psa, after the six months prior access period, following the ESA Rules on Information, Data and Intellectual Property.
> -wrap-foot> We now describe the results of comparing two human datasets generated by the ENCODE consortium (see Section 3.2).
Exploiting an extensive next-generation sequence read dataset generated by the Department of Energy Joint Genome Institute (JGI), we have performed a de novo assembly and annotation of the transcriptome of B. braunii Showa, and successfully identified and manually curated the genes for the key enzymes in the biosynthesis of liquid triterpenoid compounds.
The surrogate model, which is fitted and validated using training dataset generated by the physical model, can approximate solutions rapidly.
This paper examines the data-driven verification of structural balance of multiplex networks by utilizing the dataset generated by the bipartite consensus dynamics adopted by each node in the network.
Then the RL approach was compared to a synthetic dataset generated by the model Soil Canopy Observation, Photochemistry and Energy fluxes (SCOPE) in which large variability in meteorological scenarios, canopy structure and water status conditions was accounted for.
