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Data Publication

Experimental data of analogue landscape evolution models

Reitano, Riccardo | Faccenna, Claudio | Funiciello, Francesca | Corbi, Fabio | Willett, Sean D.

GFZ Data Services

(2020)

This dataset includes raw data used in the paper by Reitano et al. (2020), focused on the effect of different analogue materials on the mechanical and erosional properties of some defined samples. The samples are mixes of three different analogue materials in various proportions. The experiments have been carried out at Laboratory of Experimental Tectonics (LET), University “Roma Tre” (Rome). Detailed descriptions of the experimental apparatus and experimental procedures implemented can be found in the paper to which this dataset refers. We used the MATLAB toolbox “TopoToolbox” (Schwanghart and Scherler, 2014). Here we present: - Pictures recording the evolution of the models. - Laser scans used for further analysis. - Scripts created ad hoc by the authors and used for analyzing and plotting the data. A detailed methodological description can be found in the associated "2020-021_Reitano-et-al_Dataset decription" pdf file.

Keywords


Originally assigned keywords
Landscape evolution
Analogue modelling
Quantitative geomorphological analysis
EPOS
European Plate Observing System
analogue models of geologic processes
analogue modelling results
software tools
multiscale laboratories
alluvial and fluvial features
base slope
crest
degradation feature
destructional feature
drainage pattern
erosion surface
erosional features
head slope
mountain
mountainslope
natural geomorphologic feature
slope and gravitational features
CloudCompare
Matlab Mathworks
FLOOD PLAIN
RIVER
STREAM
WATERSHEDDRAINAGE BASINS
LANDSLIDE
SEDIMENT TRANSPORT
WEATHERING
GRAVITY
earth surface setting
hillslope setting
Generic camera
Laser scanner
landslide
geologic process
weathering
mountains
Plastic
Sand
Quartz Sand
Water
Water saturated paste
Rainfall system
Sandbox
Sandbox cm scale
Surface image

Corresponding MSL vocabulary keywords
analogue modelling
alluvial fan
drainage divide
mountain
geomorphic evolution
CloudCompare
Matlab (Mathworks)
river
stream
camera
laser scanner
sand
water saturated paste
rainfall system
deformation experiments
model surface monitoring (2D)

MSL enriched keywords
Apparatus
analogue modelling
Modeled geomorphological feature
fluvial landforms
alluvial fan
drainage divide
mountain and glacial landforms
mountain
Measured property
geomorphic evolution
Software
CloudCompare
Matlab (Mathworks)
river
stream
Ancillary equipment
model surface monitoring (2D)
camera
laser scanner
unconsolidated sediment
clastic sediment
sand
analogue modelling material
viscous modelling material
organic viscous material
water saturated paste
geomorphic experiments
rainfall system
deformation experiments

MSL original sub domains

analogue modelling of geologic processes

MSL enriched sub domains i

analogue modelling of geologic processes


Source publisher

GFZ Data Services


DOI

10.5880/fidgeo.2020.021


Authors

Reitano, Riccardo

0000-0002-6295-5588

Università degli Studi Roma Tre, Dip. Scienze, Sez. Geologia

Faccenna, Claudio

0000-0003-0765-4165

Università degli Studi Roma Tre, Dip. Scienze, Sez. Geologia

Funiciello, Francesca

0000-0001-7900-8272

Università degli Studi Roma Tre, Dip. Scienze, Sez. Geologia

Corbi, Fabio

0000-0003-2662-3065

Università degli Studi Roma Tre, Dip. Scienze, Sez. Geologia

Willett, Sean D.

0000-0002-8408-0567

Department of Earth Sciences, ETH-Zürich, Sonneggstrasse 5, 8092 Zürich, Switzerland


References

Schwanghart, W., & Scherler, D. (2014). Short Communication: TopoToolbox 2 – MATLAB-based software for topographic analysis and modeling in Earth surface sciences. Earth Surface Dynamics, 2(1), 1–7. https://doi.org/10.5194/esurf-2-1-2014

10.5194/esurf-2-1-2014

Cites

Cites

Cites


Contact

Reitano, Riccardo

r.reitano@gmail.com

Università degli Studi Roma Tre, Dip. Scienze, Sez. Geologia


Citiation

Reitano, R., Faccenna, C., Funiciello, F., Corbi, F., & Willett, S. D. (2020). Experimental data of analogue landscape evolution models [Data set]. GFZ Data Services. https://doi.org/10.5880/FIDGEO.2020.021