The phrase "a large dataset that" is correct and usable in written English.
It can be used when referring to a significant collection of data that is relevant to a particular context or analysis.
Example: "In our research, we analyzed a large dataset that included information from various sources to draw meaningful conclusions."
Alternatives: "an extensive dataset that" or "a substantial dataset that".
The δ49Ti data are from ref. 8, which used a large dataset that included many of the samples studied here.
Both models were estimated using a large dataset that consists of 60 work zones in New Jersey.
We empirically evaluate the relation between reputation and performance using a large dataset that covers most of the structured finance universe.
The framework is applied to a large dataset that represents six tourism-related sectors and seven major source markets of inbound tourism to Hong Kong.
The developed classification and prediction models were combined and applied to a large dataset that included eight fuel assembly designs, two of which were not used in training the models, and spanned the range of the initial 235U enrichment, cooling time, and burnup values expected of future commercial used fuel for reprocessing.
The experimental results obtained for a large dataset that combines collections such as FG-Net, Adience, GenderChildren, The Image of Groups and Boys2Men evidence the complementary information contained in both local descriptors and neural networks, as their fusion boosts the accuracy of non-adult detection to over 93%.
The authors of the NMB trend study reported a need for a larger dataset that will better represent the nutrient balance status of New York farms.
Quality was checked using a larger dataset that included those 6000 individuals.
Studies of a larger dataset that include assessment of the MIN status of tumors, for example by staining for the hMLH1 gene product, [ 41], will be needed to pursue this interesting correlation in depth.
Based on this dataset, it is impossible to determine whether X1 modifies the effect of X2, because there is no observation with and, whereas it might be possible with a larger dataset that includes a sufficient number of observations with both and.
The recorded consultations used for this project are a subset of a larger dataset that was collected for two prior projects using interactional data: a study of clinical decision making in general practice and surgical consultations 11, 19 and a longitudinal study where a cohort of patients were tracked and recorded throughout an episode of care.
