Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 5
Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2165-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2165-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 5
Data description paper
 | 
13 May 2024
Data description paper |  | 13 May 2024

Predictive mapping of organic carbon stocks in surficial sediments of the Canadian continental margin

Graham Epstein, Susanna D. Fuller, Dipti Hingmire, Paul G. Myers, Angelica Peña, Clark Pennelly, and Julia K. Baum

Viewed

Total article views: 4,631 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,492 1,051 88 4,631 215 100 124
  • HTML: 3,492
  • PDF: 1,051
  • XML: 88
  • Total: 4,631
  • Supplement: 215
  • BibTeX: 100
  • EndNote: 124
Views and downloads (calculated since 16 Oct 2023)
Cumulative views and downloads (calculated since 16 Oct 2023)

Viewed (geographical distribution)

Total article views: 4,631 (including HTML, PDF, and XML) Thereof 4,541 with geography defined and 90 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Nov 2025
Download
Short summary
Improved mapping of surficial seabed sediment organic carbon is vital for best-practice marine management. Here, using systematic data review, data unification process and machine learning techniques, the first national predictive maps were produced for Canada at 200 m resolution. We show fine-scale spatial variation of organic carbon across the continental margin and estimate the total standing stock in the top 30 cm of the sediment to be 10.9 Gt.
Read more
Share
Altmetrics
Final-revised paper
Preprint