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ZENODO
Dataset . 2025
Data sources: ZENODO
ZENODO
Dataset . 2025
Data sources: Datacite
ZENODO
Dataset . 2025
Data sources: Datacite
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Data for "Extreme weather magnifies the effects of forest structure on wildfire, driving increased severity in industrial forests"

Authors: Levine, Jacob; Collins, Brandon; Coppoletta, Michelle; Stephens, Scott;

Data for "Extreme weather magnifies the effects of forest structure on wildfire, driving increased severity in industrial forests"

Abstract

README This repository contains data required to repeat the analyses described in the manuscript "Extreme weather magnifies the effects of forest structure on wildfire, driving increased severity in industrial forests." The code used to run these analyses and process the data are published separately, both on Github and in a static Zenodo repository, because the size of the data exceeded Github's file size limits. Download instructions The data in this repository were split from an initial .zip file into four subfiles, each less than or equal to 2.1 Gb to facilitate upload. To access the data, the user will have to first download these partial files, and then merge them on their local machine. Here we provide brief instructions for doing so on a Unix-based computer. 1. Download partial files First, download the four subfiles from this repository: data_part_aa data_part_ab data_part_ac data_part_ad 3. Merge files on local machine Next, merge the four subfiles into a single .zip file, and finally unzip the data into the same directory as the code downloaded from Github or Zenodo. This way, the code will correctly reference the files in the dataset. Here is a bash script to complete this full workflow, downloading, merging, and unzipping the data archive. #!/bin/bash # Download and reassemble split archive from Zenodo for part in aa ab ac ad; do wget -c https://zenodo.org/record/15848846/files/data_part_$part done cat data_part_aa data_part_ab data_part_ac data_part_ad > data.zip # verify checksum # should match 944cc633e20fa460ab0131a93c953573 md5sum data.zip # Unzip into the main directory, so that the scripts will function as intended. unzip data.zip -d severity_and_silviculture/data Citation If you use any of the unpublished portions of this dataset in your own work, please cite the accompanying manuscript: Jacob. I Levine, Brandon M. Collins, Michelle Coppoletta, Scott L. Stephens. (2025). Extreme weather magnifies the effects of forest structure on wildfire, driving increased severity in industrial forests. [insert journal name after publication]. DOI: [insert DOI after publication]

Related Organizations
Keywords

Forest management, Climate Change, Fire severity, Extreme Weather, Forest ecology, Wildfires

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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