Title: Estimated nitrate d15N modeled using an ensemble of artificial neural networks (EANNs)

Type Dataset Rafter, Patrick, Bagnell, Aaron, DeVries, Timothy, Marconi, Dario (2019-06-17): Estimated nitrate d15N modeled using an ensemble of artificial neural networks (EANNs). Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu. Dataset. https://darchive.mblwhoilibrary.org/handle/1912/24277

Authors: Rafter, Patrick ; Bagnell, Aaron ; DeVries, Timothy ; Marconi, Dario ;

Links

• Item record in Woods Hole Open Access Server
• Digital object URL

Summary

We utilize an ensemble of artificial neural networks (EANNs) to interpolate our global ocean nitrate d15N database, producing complete 3D maps of the data. By utilizing an artificial neural network (ANN), a machine learning approach that effectively identifies nonlinear relationships between a target variable (the isotopic dataset) and a set of input features (other available ocean datasets), we can fill holes in our data sampling coverage of nitrate d15N. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/768655

More information

• URI: https://hdl.handle.net/1912/24277
• DOI: 10.1575/1912/bco-dmo.768655.1
• Language: en_US

Dates

• accessioned: June 17, 2019
• available: June 17, 2019
• created: May 28, 2019
• Publication date: June 17, 2019

Notes

Rights

• Creative Commons Attribution 4.0
• https://creativecommons.org/licenses/by/4.0/

Funding Information

Format

electronic resource

Locations

Relateditems