*.avi; *.csv; *.txt

This is the patent data we collected from USTPO. Its part of the paper that we used for our study. It contains patent data regarding financial, assistive, and artificial intelligence technology convergence. These patents are all registered in USPTO (united states patent and trademark office) from 2001 to 2020. These data were used for network analysis. Further details will be uploaded after paper acception.

Known as the “Water Tower of Asia,” the Tibetan Plateau plays an important role not only in regional hydrology, but also in the larger, more global water cycle, as well as climate regulation. While this region plays such an important role, things get difficult when it comes to extracting water data using remote sensing techniques—primarily because of snow interference, which leads to all kinds of misjudgments and detection errors.

The dataset comprises the spectral density peak power levels from a spectrum survey in a rural area of Belgium. For the spectrum measurements we consider 21 locations of a rural scenario in Nevele, Belgium. This is a mostly flat area with detached isolated houses and farms. We defined a grid of different locations for measuring the peak signal levels [dBm] across the spectrum between 170 MHz and 1000 MHz, during a period of 0.5 h. The measurements across the different locations are not synchronized and, therefore not correlated in the time domain.

LSE, Atmospheric transmittance, upward and downward atmospheric radiation for GF-5B

The Thermodynamic Initial Guess Retrieval (TIGR) data set, in its latest version, is a climatological library of 2311 representative atmospheric situations selected by statistical methods from 80,000 radiosonde reports (Chédin et al., 1985; Achard, 1991; Chevallier et al., 1998). Each situation is described, from the surface to the top of the atmosphere, by the values of the temperature, water vapour and ozone concentrations on a given pressure grid.