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This is an example of a signal from an RCD reading from a 7W Led Lamp load. The data is titled with two status: 0 for normal condition (NC) and 1 for single fault condition (SFC). From the signal, It was evident that the peak voltage fluctuated over a certain time. The signal waveform displayed a positive peak and a negative peak alternatively in a comparable amount of time, while lacking any distinct cosine form or fixed values for the peak voltages. It was discovered through measuring that time period that it had the same frequency of 50 Hz as the source of the input.

Endemic fish species are key components in seafood culinary excursions. Despite the increasing interest in leveraging technology to enhance various seafood culinary activities, there is a shortage of comprehensive datasets containing images of seafood used in artificial intelligence research, mainly those showcasing endemic fish. This research endeavors to bridge this gap by increasing the accuracy of fish recognition and introducing a new dataset comprising images of native fish for application in various machine-learning investigations.

A modern Wi-Fi-enabled device (e.g., a smartphone) can spontaneously emit unencrypted and anonymized signals to the environment in search of an access point. This signal is called a probe request. Since it is freely available in the open air, one can build a sensor from a Wi-Fi adapter to capture the signal. Once captured, its signal strength can be measured in the form of a Received Signal Strength Indicator (RSSI).

The SINEW (Sensors in Home for Elderly Wellbeing) dataset consists of 15 high-level biomarker features, derived from raw sensor readings collected by in-home sensors used for predictive modeling research: SINEW Weekly Biomarker.

This dataset was collected for a study focused on the early detection of mild cognitive impairment, providing an opportunity for timely intervention before it progresses to Alzheimer's disease.