North/South-separated <10nT magnetometer data from the 1994-2008 Ulysses space mission's samplings of polar solar winds, hourly averaged, non-decimated. The set also includes data from the WIND space mission, the WSO terrestrial observatory (solar Mean Magnetic Field), and the WSO solar Polar magnetic Field, all used in the same research project. The NOAA Solar Indices data (not included) were used for verification, see paper for details.
One to three columns of data are X, Y, Z coordinates respectively
One to three columns of data are X, Y and Z coordinates respectively.
Context awareness is an emerging field in pervasive computing with applications that have started to emerge in medical systems. The present work seeks to determine which contexts are important for medical applications and what various domains of context aware applications exist in healthcare. Methods: A systematic scoping review of context aware medical systems currently being used in healthcare settings was conducted.
In this paper, we consider unmanned aerial vehicles (UAVs) equipped with a visible light communication (VLC) access point and coordinated multipoint (CoMP) capability that allows users to connect to more than one UAV. UAVs can move in 3-dimensional (3D) at a constant acceleration, where a central server is responsible for synchronization and cooperation among UAVs. The effect of accelerated motion in UAV is necessary to be considered. We define the data rate for each user type, CoMP, and non-CoMP.
COVIFN is a CoVID-19-specific dataset that consists of fact-checked fake news scraped from Poynter and true news from news publishers' verified portals. The dataset was pre-processed, the removal of special characters and non-vital information is performed.
The file contains columns such as:
Date: publish date of news article
country: country the article is about
text: the news article content
label: fake or real news label
URL: the fact-checked site
source: original news source site
Data used for evaluation of the Chameleon system. We use it to evaluate capabilities of sensor fusion system that is able to adapot to multiple envrionemnts and monitor activity states within a room. The data set is divided by the two deployments and includes inforamtion for both of the sensors used to test the system. We include two weeks worth of data along with training and testing accuracy results.
