Sentence examples for relationships between datasets from inspiring English sources

The dashboard graphical interface operates by creating and manipulating charts to observe the relationships between datasets.

A more systematic and analytical metadata representation would help users to explore the relationships between datasets and models.

This assessment develops different spatial models, which make use of available datasets, causal relationships between datasets, including a generated land use land cover (LULC) map, and statistical models and indicators based on direct measurements.

This approach establishes relationships between datasets of different types (meta-analysis) using the parameter of functional proximity, which is defined as one-step physical interactions between the gene products from different sets [ 82].

While the workflow panel in Chipster makes saving workflows easy, it also greatly enhances general usability: By clearly displaying the relationships between datasets it enables the user to quickly get an overview of the analysis session.

It entails both interrogation within each dataset to ascertain seasonal dynamics (for example of water contamination levels, patterns of water usage, hygiene behaviour and reported disease incidence) and testing of relationships between datasets.

Taking such a broad range of data types makes data interoperability an issue, and we have been working with the ISA-Commons community to see if GigaDB can capture study and assay metadata along with relationships between dataset components and take submissions using their ISA-Tab format [ 10].

To visualize this, we identified the orthologous relationships between these datasets by applying the DomClust program to the combined dataset.

42– 46 The binary-based integration provides rapid snapshots of the dataset that can facilitate deeper biological insights or relationships between the datasets to direct further analysis.

They have developed a 'map explorer' prototype which allowed to analyze the Lake Chad Basin crisis by visually exploring the relationships between diverse datasets such as related to displacement, population fatalities, conflict locations, humanitarian funding and food security etc.

We analyzed the statistical relationships between the datasets by decomposing them into a set of interpretable components.