Second-degree normalization of all database attributes guarantees extensive data query and access possibilities.
From this interface, which is built on the Jupyter10,11 platform, users can upload their private data, search and retrieve extensive public reference data, access data shared by others, share their data with others, select and run applications on their data, view and analyze the results from those applications, and record their thoughts and interpretations along with the analysis steps.
This dataset is accompanied by comprehensive information providing extensive visualization and data access to allow an easy-to-use approach for the design of experiments, the incorporation into modelling studies of the regulatory system and for comparative analyses.
Our approach provide access to features such as extensive data modeling tools, predictable access to hard real-time data, dynamic access to soft real-time data using standardized queries and controlled data sharing; thus allowing developers to employ the full potential of both CBSE and an RTDBMS.
Funding of RAVE, which guarantees extensive data, telescope, and instrument access is provided by the participating institutions and the national research foundations.
Computers with access to extensive data files can select information associated with a specific problem and display it to aid the researcher in formulating possible solutions.
This website facilitates access to extensive data, software and bibliographic resources related to climate impacts, adaptation, and vulnerability across multiple sectors.
COPPER is a multi-disciplinary group of clinicians, investigators, and statisticians that maintains a robust portfolio of externally funded projects and has access to extensive data support infrastructure.
The characterisation of unknown chemical compounds relies on calculated property descriptors (the term parameters is commonly used interchangeably, especially in organic and organometallic chemistry) and the computational mapping of chemical space has become increasingly viable with the growth of cheap computing hardware, extensive data storage and networked electronic access.
We had access to extensive data about mood episodes, other mental disorders, and treatment.
However, without access to extensive data collection from such populations completing the EQ-5D form it would not have been possible to assess whether the MVH approach to selecting health states for valuation was optimal.
