Dataset: Global model dissolved Zn

Spatial Extent: N:83.5 E:178.5 S:-77.5 W:-178.5
Project: 
Principal Investigator: 
Timothy DeVries (University of California-Santa Barbara, UCSB)
BCO-DMO Data Manager: 
Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version: 
2
Version Date: 
2019-07-26
Restricted: 
No
Validated: 
Yes
Current State: 
Final no updates expected

Global estimated dissolved zinc (Zn) using an ensemble of artificial neural networks
Abstract: 
Dissolved zinc (Zn) concentration map modeled by means of ensemble artificial neural network. The ensemble consists of 100 neural networks each of which was trained by using a different randomly-selected 70% of observational dataset and the reported means and standard deviations are those calculated among the members of the ensemble.

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Description

This dataset is produced by applying artificial neural network on compiled dataset of observed dissolved Zn. These data were previously published in Figshare (doi: 10.6084/m9.figshare.7403627.v3).

Data Files
File
dissolved_Zn_modeled.csv
(Comma Separated Values (.csv), 98.48 MB)
MD5:464d80110bc0018fcacf3f20c94e5447
Primary data file for dataset ID 773657
More Information about this dataset