@misc{10481/64397,
year = {2020},
month = {6},
url = {http://hdl.handle.net/10481/64397},
abstract = {Land-use planning in regard of earthquake-triggered land- slides is usually implemented by means of the production of hazard maps. The well-known Newmark rigid block method- ology is the most frequent used approach for this purpose. In this method, slope stability is evaluated by the estimation of the Newmark displacement, which is used to set differ- ent categories of hazard. This methodology presents limita- tions due to the difficulty of incorporating the variability of the used variables. For that reason, the logic-tree approach has been used in order to incorporate the epistemic uncer- tainties and compute probabilistic seismic-landslide hazard maps. However, the used weights in the logic-tree are usually set for each branch based on an expert judgement or sub- jective criteria. This article provide data obtained from the use of logic-tree methodology; this dataset is useful for de- riving the unbiased weights to use in such methodology and  in moderate-to-low magnitude scenarios. The data presented here are related to the article entitled “Obtaining suitable logic-tree weights for probabilistic earthquake-induced land- slide hazard analyses".},
organization = {MINECO/FEDER, UE 	
CGL2015-65602-R},
organization = {MINECO 	
CGL2017-83931-C3-1-P},
organization = {Programa Operativo FEDER Andalucía 2014-2020 -call made by the University of Jaen 2018},
organization = {Research group "Planetary Geodynamics, Active Tectonics and Related Risks" of the University Complutense of Madrid 	
UCM-910368},
organization = {Research group "Applied Geology and Hydrogeology" of the University of Alicante 	
VIGROB-184},
publisher = {Elsevier},
keywords = {Landslide},
keywords = {Earthquakes},
keywords = {Seismically-induced landslide},
keywords = {Hazard map},
keywords = {Logic-tree},
title = {Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events},
doi = {10.1016/j.dib.2020.105940},
author = {Rodríguez Peces, Martín Jesús and Garrido Manrique, Jesús},
}