*.csv;

This dataset comprises residential energy data from the UK, covering a nearly five-year period from 2015 to 2020. It includes a total of 201,605 data points, each meticulously recorded at 15-minute intervals, ensuring a high level of granularity. The dataset provides detailed attributes such as the date, time, residential energy load (measured in kilowatts), electricity price (in GBP), solar energy generation (in kilowatts), wind energy generation (in kilowatts), and various weather-related parameters.

This Dataset provides input data for the development of the B-RAN and attacks models for the NANCY framework, to model training and model inference functions. The data collected plays the role of ML algorithm-specific data preparation. The dataset contains time-series, collected transmitting a video content through the Italtel "VTU - video streaming and transcoding application", that can convert audio and video streams from one format to another, at multiple encodings schemes, changing resolution, bitrate, and video parameters.

This dataset is weekly outpatient records of HFMD in Xiamen, China.

3 different cell-based assays were conducted to characterize the functional activity of samples, providing data regarding the effector function of antibodies induced by RV144 including: gp120-specific antibody dependent cellular phagocytosis (ADCP) by monocytes, antibody dependent cellular cytotoxicity (ADCC) by primary NK cells, and NK cell cytokine release (namely the combination of IFNγ, MIP-1β, and CD107a).

ReSysTDepth collects trajectories of people in indoor spaces. Each trajectory is composed of a sequence of three-dimensional coordinates that capture the center of mass of people moving in the corridor of a building. It is composed of two datasets:

• Real Dataset - real data captured by a depth camera (Microsoft Kinect v2).
• Synthetic dataset - synthetic data generated artificially using splines.

People turn to search engines and social media to seek information during
population-level events, such as during civil unrest, disease outbreaks, fires, or flood.
They also tend to participate in discussions and disseminate information and opinions
via social media forums, and smartphone messaging applications. COVID-19 pandemic
was not any different. However, the proper medical awareness and correct information
dissemination is critical during a pandemic. An unprecedented amount of internet traffic

The dataset corresponds the measurement that was implemented on the control accuracy of a mixed reality application for digital twin based crane.