Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4793-2024
https://doi.org/10.5194/essd-16-4793-2024
Data description paper
 | 
23 Oct 2024
Data description paper |  | 23 Oct 2024

AIGD-PFT: the first AI-driven global daily gap-free 4 km phytoplankton functional type data product from 1998 to 2023

Yuan Zhang, Fang Shen, Renhu Li, Mengyu Li, Zhaoxin Li, Songyu Chen, and Xuerong Sun

Viewed

Total article views: 2,421 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,919 331 171 2,421 52 65 62
  • HTML: 1,919
  • PDF: 331
  • XML: 171
  • Total: 2,421
  • Supplement: 52
  • BibTeX: 65
  • EndNote: 62
Views and downloads (calculated since 06 May 2024)
Cumulative views and downloads (calculated since 06 May 2024)

Viewed (geographical distribution)

Total article views: 2,421 (including HTML, PDF, and XML) Thereof 2,373 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
Short summary
This work describes AIGD-PFT, the first AI-driven global daily gap-free 4 km phytoplankton functional type (PFT) product from 1998 to 2023.  AIGD-PFT enhances the accuracy and spatiotemporal coverage quantification of eight major PFTs (i.e. diatoms, dinoflagellates, haptophytes, pelagophytes, cryptophytes, green algae, prokaryotes, and Prochlorococcus).
Share
Altmetrics
Final-revised paper
Preprint