![]() In this data article, least square method which is based on Gutenberg-Richter’s (GR) relationship has been adopted to evaluate the data sets of 0 ≤ There are two mostly used methods in estimation of b-values: least square and maximum likelihood methods. ![]() Generally, very low b-values are found in case of immediate aftershocks and higher values are found in case of swarm. This is the measure of stress on the lithospheric plates, because lower b-values indicate that the stress is optimum in the investigated region. In the study of earthquake, one of the most determined parameters is b-value which varied from 0.2 to 2.0, and generally found around 1. These parameters are essential in seismology and serve as reference point to the applied theoreticians. ![]() Evaluation of earthquake parameters such as magnitude, focal depth and frequency is the fundamental in the study of earthquake pattern and its prediction. It has been recognized as one of the most destructive of all natural hazards which can severely destroy the entire vicinity in seconds without an explicit warning. The map of Africa and Asia showing the coverage of the dataset.Īn earthquake is caused by a sudden slip along a fault zone. When this approach is integrated with other technique(s), it can provide insights to stability of African lithospehric plates especially the coastal region of Africa. The earthquake data sets presented in this article can further be adopted in the study of seismicity pattern, b-value using series of models, earthquake prediction and variations of earthquake parameters on African and/or Arabian plates. If the nature of the earthquakes time series is stochastic, modeling and prediction is possible. The network uses a time series magnitude data as input with the output being the magnitude of the following day. The neural network analysis was also applied to the magnitude of the earthquake. The focal depth occurrence for each magnitude bins (0–0.9, 1–1.9, 2–2.9, 3–3.9, 4–4.9, 5–5.9, 6–6.9, 7–7.9, 8–8.9) were grouped into shallow, intermediate, and deep depths ranging from 0 to 70, 71 to 300, and 301 to 700 km as being used in seismology. The histograms of earthquake occurrence against magnitude of earthquakes for the selected years (1966–1975, 1976–1985, 1986–1995, 1996–2005, 2006–2015, and 1966–2015), and the decadal frequency distributions of earthquake occurrence were also plotted. The two constants a and b in the Gutenberg-Richter’s equation, magnitude of completeness (MC) adjusted R-Square and F-value for the period of 1966–1975, 1976–1985, 1986–1995, 1996–2005, 2006–2015, and the entire period of investigation ranging from 1966 to 2015 were determined so as to investigate the variations of these parameters on earthquake occurrence over time. Annual distributions of earthquake occurrence based on magnitude variations with the limit 0 ≤ M ≤ 8 were presented. The Gutenberg-Richter’s relationship being the longest observed empirical relationship in seismology, analysis of variance and time series were used to analyze the seismicity of the study area. Each datum comprised the earthquake occurrence date, time of the earthquake occurrence, epicenter’s coordinates, focal depth and magnitude. The data used were extracted from earthquake catalog of Advanced National Seismic system via, an official website of the Northern California Earthquake Data Centre, USA. Seventy seven thousand, six hundred and ninety-six data points were presented for the analysis. It is bounded by latitude 40° S to 40° N and longitude 30° W to 60° E with the focal depth of 0–700 km. This article evaluates the occurrence of 0 ≤ M ≤ 8 earthquake data sets for the period of 50 years (that is, Januto December 31, 2015) in African and Western Asia region.
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