This data publication supports the manuscript “Controls on Valley-Floor Width in the Western An-des” by Tofelde et al. (currently under review in the Journal of Geophysical Research: Earth Sur-face). The aim of the associated study is to quantify and compare the relative influence of four key factors—river discharge, tectonic uplift, bedrock strength, and lateral sediment supply from adja-cent hillslopes—on the width of valley floors.
Valley-floor width was systematically measured at more than 126,000 locations across 84 catch-ments spanning the western Andes between 5°S and 40°S. To represent the four hypothesized controls, eleven proxy variables were developed and analyzed (see Table 1 in the main manu-script). Valley-floor width was quantified using the approach of Clubb et al. (2022) implemented in the topography analysis software LSDTopoTools (Mudd et al., 2023). River steepness index (Wobus et al., 2006), a proxy for tectonic uplift, was also calculated in LSDTopoTools. All remaining proxies were quantified using the topography analysis software TopoToolbox (Schwanghart & Kuhn, 2010; Schwanghart & Scherler, 2014) implemented in Matlab with the script Valley_floor_analysis.m pro-vided here. This script reproduces the datasets used in the study and allows to apply the approach to new locations.
This dataset includes raw data used in the paper by Reitano et al. (2022), focused on the effect of boundary conditions on the evolution of analogue accretionary wedges affected by both tectonics and surface processes; the paper also focuses on the balance between tectonics and surface processes as a function of the boundary conditions applied. These boundary conditions are convergence velocity and basal slope (i.e., the tilting toward the foreland imposed prior the experimental run). 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. Here we present:
• Pictures recording the evolution of the models.
• GIFs showing time-lapses of models.
• Raw DEMs of the models and Incision DEMs, used for extracting data later discusses in the paper.