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WADENOW toolbox (Research data related to Teza et al., G, 2022. WADENOW: A MATLAB toolbox for early forecasting of the velocity trend of a rainfall-triggered landslide by means of continuous wavelet transform and deep learning. Geosciences, 12(5), 205; https://doi.org/10.3390/geosciences12050205).

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title WADENOW toolbox (Research data related to Teza et al., G, 2022. WADENOW: A MATLAB toolbox for early forecasting of the velocity trend of a rainfall-triggered landslide by means of continuous wavelet transform and deep learning. Geosciences, 12(5), 205; https://doi.org/10.3390/geosciences12050205).
 
Identifier https://doi.org/10.7910/DVN/JV3NI9
 
Creator Teza, Giordano
 
Publisher Harvard Dataverse
 
Description WADENOW is a free MATLAB toolbox described in Teza, G., Cola, S., Brezzi, L., Galgaro, A., 2021. WADENOW: A MATLAB toolbox for early forecasting of the velocity trend of a rainfall-triggered landslide by means of continuous wavelet transform and deep learning. Geosciences, 12(5), 205; https://doi.org/10.3390/geosciences12050205.
 
Subject Earth and Environmental Sciences
 
Contributor Teza, Giordano