Secondly, our dataset provides information on borrower's labor status and the type of contract if occupied.
Although our dataset provides information about only three levels, in this section, we introduce a general definition of edge-labeled multigraph which covers any multi-layered setting.
Our dataset provides information about registration codes that categorize ownership (i.e., types of state-owned, privately owned, and foreign-owned types).
The temporal aggregation is done in timeslots of ten minutes, and (iii) the Telecommunications - Square to Square dataset providing information regarding the directional interaction strength between each pair of squares of the partitioning grid.
We also rely on the 'Microm indicators', a unique dataset providing information on the ethnic composition of neighbourhoods at various levels of aggregation, which can be merged with the GSOEP.7 These indicators are discussed in detail in Section 5.3.
In addition to registration codes that categorize ownership, our dataset provides information about affiliation codes that distinguish the government levels to which a firm is affiliated (i.e., levels of central government, provincial government, prefectural and city government, county government, and township and village government).
Finally, our dataset provides information about the regulation of further Aβ dependent genes, which could turn out to be important in AD.
Indeed, the metabolic dataset provides information about all coded proteins relevant for the microbial metabolism.
Moreover, the 4D CBCT dataset provides information on the 3D trajectory of the moving structures, absent in the 3D data.
