Seismic Data Server Application Service (SDSAS) is developed on the SEEGRID infrastructure in order to serve massive seismic data that are archived from national seismology centers using a high level interface that is easy to use and adapt. It serves official lists of earthquakes, stations and waveform data collected from various South Eastern European (SEE) countries. SDSAS contains three main...

This paper describes an approach used to develop retrofit strategies for hospitals and other critical facilities in low to moderate seismic hazard zones, where strong earthquakes are infrequent, but if they should occur, the consequences would be high. Hospitals in New York State and other urban centers in the eastern U.S. fall into this category, where seismic retrofit requires information on ...

■ Abstract Real-time seismology refers to a practice in which seismic data are collected and analyzed quickly after a significant seismic event, so that the results can be effectively used for postearthquake emergency response and early warning. As the technology of seismic instrumentation, telemetry, computers, and data storage facility advances, the real-time seismology for rapid postearthqua...

Misinformation carries the potential for immense damage to public understanding of science and evidence-based decision making at an individual policy level. Our research explores following questions within seismology: which claims can be considered misinformation, are supported by a consensus, still under scientific debate? Consensus debate important quantify, because where levels consensus on ...

Undergraduate Seismology Internship (pdf) As a Math major I loved the beauty of high level Mathematics but struggled to see the application. In Physics I found a relevant and tangible application to the beauty of Mathematics. However, I wanted to apply my new craft to a field that would affect people's day to day lives. When I stumbled across exploration seismology as an undergraduate student, ...

Highly clustered event sequences are observed in certain types of crime data, such as burglary and gang violence, due to crime-specific patterns of criminal behavior. Similar clustering patterns are observed by seismologists, as earthquakes are well known to increase the risk of subsequent earthquakes, or aftershocks, near the location of an initial event. Space–time clustering is modeled in se...

Highly clustered event sequences are observed in certain types of crime data, such as burglary and gang violence, due to crime-specific patterns of criminal behavior. Similar clustering patterns are observed by seismologists, as earthquakes are well known to increase the risk of subsequent earthquakes, or aftershocks, near the location of an initial event. Space–time clustering is modeled in se...

In this article we describe EPOS Seismology, the Thematic Core Service consortium for seismology domain within European Plate Observing System infrastructure. Seismology was developed alongside build-up of during last decade, in close collaboration between existing pan-European seismological initiatives ORFEUS (Observatories and Research Facilities Seismology), EMSC (Euro-Mediterranean Seismolo...