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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Claim

A dataset for time-series wildfire danger forecasting

Research datakeyboard_double_arrow_right Dataset 25 Sep 2025 English Publisher:Zenodo
Authors: Kondylatos, Spyros;

doi: 10.5281/zenodo.17201753 , 10.5281/zenodo.17201754

A dataset for time-series wildfire danger forecasting

Abstract

This dataset provides a comprehensive collection of fire drivers and variables that can be used as predictors for wildfire danger forecasting in the Mediterranean region. It includes environmental, meteorological, and anthropogenic factors relevant to modeling and assessing wildfire danger. For further details about the dataset, please visit the repository: https://github.com/orion-ai-lab/mesogeos

Related Organizations
Keywords

Earth Science, Wildfires, Forecasting

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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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