This dataset comprises user-generated content from Stack Overflow, including post bodies, post tags, and user engagement metrics such as upvotes and downvotes. The data was collected from the stack exchange explorer based on user defined categories and other criteria like reputation and badges as explained in our work.  It was collected to support research in technology and emotion analysis, focusing on understanding user interactions and sentiments within online communities.

Silicon nitride has greatly improved the versatility of integrated photonics technologies due to its wide transparency window, compatibility with existing CMOS-foundry infrastruc ture, and its potential for extremely low propagation loss. However, its low refractive index reduces mode confinement, increasing the minimum device footprint of components such as the widely-adopted ring resonator filter, resulting in a height ened need for reduced-bending architecture to maintain high integration density.

This paper presents a Tube-based Robust Model Predictive Control (Tube-RMPC) strategy for autonomous vehicle control, designed to address model parameter uncertainties and variations in road-tire adhesion coefficients under complex driving conditions. The proposed approach enhances the representation of vehicle dynamics by introducing a unified vehicle-tire modeling framework, capturing nonlinear characteristics more effectively.

The dataset contains a revised version of the psychophysical color difference Munsell Re-renotation dataset.

Munsell Re-renotation is a psychophysical dataset describing large color differences, featuring 2986 colors characterized by standard colorimetric coordinates (x, y, Y) and coordinates within the Munsell system (H, V, C).The Munsell Re-renotation iteration enhances the uniformity of the system compared to its predecessor, the Munsell Renotation dataset.