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Estimating nitrogen and phosphorus concentrations in streams and rivers across the contiguous United States: a machine learning framework

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RT @BigDataEcology: Our paper on Estimating N & P in USstream: a machine learning framework - is @PeerJPreprints https://t.co/vqmOsERjr6 #B…
Our paper on Estimating N & P in USstream: a machine learning framework - is @PeerJPreprints https://t.co/vqmOsERjr6 #Biochemistry #FreshwaterBiology #AquaticandMarineChemistry #geocomputation https://t.co/sHTmGSiMnU
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Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Longzhu Shen conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft, machine Learning Analysis.

Giuseppe Amatulli conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft, geocomputation Analysis.

Tushar Sethi authored or reviewed drafts of the paper, approved the final draft, manuscript Impruvement.

Peter Raymond contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft, interpretation of the results.

Sami Domisch conceived and designed the experiments, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft, interpretation of the results.

Data Deposition

The following information was supplied regarding data availability:

PANGAEA

899168

https://doi.pangaea.de/10.1594/PANGAEA.899168

Funding

The authors received no funding for this work.


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