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Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Earthquake Impact Assessment Using Geospatial And Seismic Parameters

Authors: International journal of Indian Science and Research;

Earthquake Impact Assessment Using Geospatial And Seismic Parameters

Abstract

This dataset documents significant global earthquake events, capturing key seismic attributes and geospatial data. The records span multiple high-magnitude earthquakes from mid-2023, detailing parameters such as magnitude, date and time, intensity (CDI/MMI), alert levels, tsunami warnings, and geographic coordinates. Each event is identified by its epicenter location, along with data on depth, seismic significance, and source network. The dataset includes both automated and reviewed information, providing insights into the seismic activity in regions such as Vanuatu, El Salvador, Argentina, and Alaska. This compilation supports earthquake risk assessment, geophysical studies, and emergency preparedness analysis by offering structured, timely data on impactful seismic events.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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