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Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Houska_et_al_Dataset_Identifying the drivers of discharge and instream nitrate concentrations using Random Forest

Authors: Houska, Tobias; Powroschnik, Zoe; Breuer, Lutz;

Houska_et_al_Dataset_Identifying the drivers of discharge and instream nitrate concentrations using Random Forest

Abstract

Dataset and Python code to perform a Random Forest regression analysis on mesured discharge and nitrate concentration data at sixteen points within the Sschwingbach Earth Observatory (SEO) located in Hüttenberg, Hesse, Germany.

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Keywords

Random Forest, Discharge, Nitrate, Python

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selected citations
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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.
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