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Authors: Vannocci, Pietro* 
Segoni, Samuele* 
Masi, Elena Benedetta* 
Cardi, Francesco* 
Nocentini, Nicola* 
Rosi, Ascanio* 
Bicocchi, Gabriele* 
D'Ambrosio, Michele* 
Nocentini, Massimiliano* 
Lombardi, Luca* 
Tofani, Veronica* 
Casagli, Nicola* 
Catani, Filippo* 
Title: Towards a National-Scale Dataset of Geotechnical and Hydrological Soil Parameters for Shallow Landslide Modeling
Journal: Data 
Series/Report no.: 3/7 (2022)
Publisher: MDPI
Issue Date: 21-Mar-2022
DOI: 10.3390/data7030037
Keywords: Geotechnics
Slope stability
Geotechnical database
Input data
Internal friction angle
Subject Classification04.04. Geology 
03.02. Hydrology 
05.02. Data dissemination 
Abstract: One of the main constraints in assessing shallow landslide hazards through physically based models is the need to characterize the geotechnical parameters of the involved materials. Indeed, the quantity and quality of input data are closely related to the reliability of the results of every model used, therefore data acquisition is a critical and time-consuming step in every research activity. In this perspective, we reviewed all official certificates of tests performed through 30 years at the Geotechnics Laboratory of the Earth Science Department (University of Firenze, Firenze, Italy), compiling a dataset in which 380 points are accurately geolocated and provide information about one or more geotechnical parameters used in slope stability modeling. All tests performed in the past (in the framework of previous research programs, agreements of cooperation, or to support didactic activities) were gathered, homogenized, digitalized, and geotagged. The dataset is based on both on-site tests and laboratory tests, it accounts for 40 attributes, among which 13 are descriptive (e.g., lithology or location) and 27 may be of direct interest in slope stability modeling as input parameters. The dataset is made openly available and can be useful for scientists or practitioners committed to landslide modeling.
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