The data for “Machine Learning Models for Evaluating Biological Reactivity within Molecular Fingerprints of Dissolved Organic Matter over time”
Authors: | |
---|---|
Owners: | Chen Zhao |
Type: | Resource |
Storage: | The size of this resource is 532.6 KB |
Created: | Feb 14, 2024 at 7:32 a.m. |
Last updated: | Feb 14, 2024 at 7:44 a.m. |
Citation: | See how to cite this resource |
Sharing Status: | Public |
---|---|
Views: | 580 |
Downloads: | 37 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
This is the data in the manuscript "Machine learning models for evaluating biological reactivity within molecular fingerprints of dissolved organic matter over time". It includes the time-course biodegradation FT-ICR MS data used in the research.
Subject Keywords
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
How to Cite
Zhao, C. (2024). The data for “Machine Learning Models for Evaluating Biological Reactivity within Molecular Fingerprints of Dissolved Organic Matter over time”, HydroShare, http://www.hydroshare.org/resource/325fd088a162492d8d87096e6e175e79
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment