The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/142f8787-129c-4618-9621-05622698bd9f

Garcia-Marti, Irene; de Baar, Jouke H. S.; Noteboom, Jan Willem; Sluijter, Rob; van der Schrier, Gerard (2024): Dataset associated to the paper "A data-driven impact-based analysis stemming from first responders reports to predict wind damage to urban trees". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/142f8787-129c-4618-9621-05622698bd9f.v1

Dataset

• Artificial Intelligence and Image Processing
• Natural Hazards
• Climate and Climate Change
• Atmosphere and Weather
• Information and Computing Sciences
• Environment

AI/ML, impact-based analysis, wind damage

2013-2023

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Irene Garcia-Marti , Jouke H. S. de Baar , Jan Willem Noteboom , Rob Sluijter , Gerard van der Schrier

This data deposit is associated to the manuscript *"A data-driven impact-based analysis stemming from first responders reports to predict wind damage to urban trees"*, currently (Oct 24) under revision for [Frontiers in Climate](https://www.frontiersin.org/journals/climate). The contents of the deposit should suffice to reproduce the figures presented in the published paper. We put care at preparing this dataset, but of course problems might arise. If you have read

this documentation and yet you are unable to run the examples, drop us a line at garciamarti [at] knmi.nl, and we can help.

• 2024-09-27 first online, published, posted

4TU.ResearchData

python, csv, netcdf, png, shapefile

Royal Netherlands Meteorological Institute (KNMI)