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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Permafrost modeling in the Southern Carpathians

Authors: Simon Filhol; Razvan Popescu;

Permafrost modeling in the Southern Carpathians

Abstract

The dataset contains: Python scripts to model permafrost in the Southern Carpathians, Romania Predictor dataset: DEM, NDVI, Potential Incoming Solar Radiation, Snow persistence index Model outputs permafrost prediction maps for the individual ML models and the ensemble map. All in Netcdf format. This dataset comes in support to the manuscript: Popescu and Filhol et al (in review). Permafrost Distribution in the Southern Carpathians, Romania, Derived from Machine Learning Modeling.

Related Organizations
Keywords

ML modeling, Mountain permafrost, southern carpathians, romania, carpathians, permafrost

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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