The phrase "collective dataset" is correct and usable in written English.
It can be used when referring to a dataset that is compiled from multiple sources or contributions, often for collaborative analysis or research.
Example: "The researchers analyzed the collective dataset gathered from various institutions to draw more comprehensive conclusions."
Alternatives: "aggregated dataset" or "combined dataset".
This may, for example, be done by applying the framework developed by IPCS, which evaluates the collective information from diverse datasets in a structured manner to provide objective assessments of the state-of-the-science of determining causality between exposure to a chemical and selected health outcomes [ 11].
HESA has collected 'student record' data since 1994, with the standard dataset described as the collective name for all the items required in the new data landscape.
In the following we analyze the choice of the number of collective footprints for the various datasets.
The importance of latent factor parameterization will be obvious later in Section 3.7 when we discuss collective network inference from many datasets.
After combing the two datasets together, a collective set consisting of 5,680 CNVRs were obtained, which are distributed over all chromosomes and two linkage groups (LGE22C19W28_E50C23 and LGE64) (Additional file 1: Table S1).
Here we highlight contrasting findings based upon observations at larger spatial scales, and call for long-term monitoring programs to consider the collection of complimentary environmental datasets to augment our collective insight.
Selection of the 12 collective temporal purchasing footprints for Ta-Feng dataset depicted as heat-maps: the darker the color, the higher the number of items purchased.
Selection of the 15 collective temporal purchasing footprints for T-Mall dataset depicted as heat-maps: the darker the color, the higher the number of items purchased.
Large-scale datasets, however, are mostly available for collective and statistical behaviors, at coarse granularities, while high-resolution data on person-to-person interactions are generally limited to relatively small groups of individuals.
The financial information about paid-up capital consists of state capital, collective capital, private capital, and foreign capital and the dataset includes the registration codes regarding ownership types.
