Global Earthquake Dataset

Dataset Overview

The dataset includes 43 attributes per earthquake, spanning key geophysical, geographical, and temporal data points. Data was meticulously gathered via the EveryEarthquake API from RapidAPI, ensuring a broad spectrum of seismic events.

Key Features

• Global Coverage: Data from minor to major earthquakes across continents, including remote regions.
• Attributes: 43 key attributes such as magnitude, depth, coordinates, date, time, and reporting status.
• Seismic Intensity: Metrics like the Modified Mercalli Intensity (MMI) and Community Internet Intensity Map (CDI) help gauge the felt impact.

Applications of the Dataset

• Machine Learning & Predictive Modeling: Ideal for developing models that predict seismic events based on historical data, depth, magnitude, and geolocation patterns.
• Geological Research & Regional Analysis: By analyzing trends, researchers can better understand the geological dynamics at play in specific regions. Compare earthquake frequencies and intensities globally to uncover new patterns.
• Risk Mitigation and Preparedness: Disaster management professionals can assess risk levels in specific areas by analyzing earthquake density and magnitude. Tsunami alerts and intensity scales add to the decision-making process for emergency protocols.

Key Data Points for Research

• Magnitude: Measures the energy released during seismic events.
• Depth: Indicates how far below the Earth’s surface the hypocenter of the earthquake is.
• Geolocation: Latitude and longitude data provide precise epicenter locations for mapping and regional analysis.
• Intensity Measurements (CDI/MMI): Provide insights into the earthquake’s impact on populations and infrastructure.
• Tsunami & Alerts: Information on whether the earthquake triggered tsunami warnings or specific alert levels is included.

Insights for Decision Makers

This dataset is indispensable for policy makers, researchers, and professionals in disaster management, seismology, and AI development. It provides the data necessary to build forecasting models, understand seismic patterns, and improve earthquake preparedness strategies.