The phrase "global dataset" is correct and usable in written English.
You can use it when talking about a collection of data that covers a wide geographic area, typically the whole world. For example: "This global dataset was used to study the impact of climate change on different regions."
There are massive barriers to entry because it's difficult to amass a global dataset of significance.
We now generate a synthetic global dataset for SH degrees 16 to 600.
Their data sample is a "global dataset" that includes data from several research software projects conducted by different entities.
Using these coefficients, we create a global dataset of synthetic vector magnetic field values at Earth's reference radius.
Additionally, a global dataset with 432 profiles with various soil classes, drainage types, land use, and altitude was also used to test the generality of the new model.
Empirically, we analyse a unique global dataset of bilateral CDS exposures on major sovereign and financial reference entities in 2011 2014.
The first objective considers the applicability of a global dataset of lost person incidents to a localized environment with limited geographic diversity.
A global dataset of NPP allocation in tropical forests reported 34%% in canopy, 39%% in wood, and 27%% in fine roots (Malhi et al. 2011).
Here, we analyse a large global dataset on canopy structure variables, acquired for tropical natural forests using hemispherical photography (including one dataset from subtropical South Africa).
Local land-based datasets were also used in conjunction with the global dataset, consisting of seismic and borehole surveys of the Sydney Basin (Danis et al. 2011).
To improve time efficiency, our methods sample a subset from the original global dataset and then estimate the results with quality guarantee based on the subset.
