(Volume: 3, Issue: 6)
Dataset For Earthquake Prediction...
It is dead hard to resist the consequences of earthquake, one of the most destructive natural disaster caused by the gradually-moving earth’s tectonic plate or volcanic magma. This fatal disaster kindling landslides, tsunamis or even aftershocks produce massive losses to life and property, questioning the existence of life on earth!!! Hence, analysing the earth’s seismic trend to predict earthquake occurrence becomes vital to mitigate the associated risks, create public awareness or to plan for emergency services and resources, especially in areas of maximal incidence. Though the earthquake prediction systems use historical data on earthquake and rely on the notion that that the previously-affected zones are going to be the earthquake-prone area in the future, the prediction cannot be accurate at times because it is just a natural happening that occurs beyond human control. So, the researchers, who intend to accurately model an earthquake prediction system, can freely access the seismic research dataset from the Kaggle repository (https://www.kaggle.com/datasets/warcoder/earthquake-dataset). This dataset contains about 782 earthquake recordings, which were acquired between 1st January 2001 and 1st January 2023. Each recording has 18 features associated with it and few of them include the title, intensity, depth, location, country, continent, latitude/ longitude etc. Hence, this freely accessible dataset enables the researchers to accurately model the earthquake prediction systems to ensure safety in various applications like, mining, civil or transportation infrastructure design, urban planning and many more.
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