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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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MPS19 seismic hazard model of Italy results

Authors: Meletti, Carlo; Marzocchi, Warner; D'Amico, Vera; Lanzano, Giovanni; Luzi, Lucia; Martinelli, Francesco; Pace, Bruno; +4 Authors

MPS19 seismic hazard model of Italy results

Abstract

The MPS19 model is the result of the activities performed by the Seismic Hazard Center at INGV (Centro Pericolosità Sismica - CPS) in the framework of the 2015-2019 DPC-INGV B1 agreements. The documentation of the whole work is presented in Meletti et al. (2021). Details on the earthquake rupture forecasts are reported in Visini et al. (2021). Details on the ground motion models are reported in Lanzano et al. (2020). Data are free for the users, by reporting the following citation: Meletti C., Marzocchi W., D'Amico V., Lanzano G., Luzi L., Martinelli F., Pace B., Rovida A., Taroni M., Visini F. & the MPS19 Working Group, 2022. MPS19 seismic hazard model of Italy results. DOI: 10.5281/zenodo.7032251 In each file, the different sheets list the mean values and the values corresponding to 84th, 16th, 97.5th and 2.5th percentiles for the spectral acceleration, contained in the filename. Values are computed for 10 probabilities of exceedance in 50 years (as reported in the column name) and for rocky soil (class A of the Eurocode 8). Values represent the geometric mean of the horizontal components of the shaking. Values are computed on a regular grid 0.05 degrees spaced, covering the Italian territory.

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selected citations
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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!
views
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