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Collection of dissolved oxygen gridded products obtained from eight machine learning gap-filling algorithms at 1.0° and 0.25° spatial resolution
Citeerbaar als data publicatie
Olivelli, A.; Landschützer, P.; Bushinsky, S.; Flanders Marine Institute; University of Hawai'i at Mānoa; (2026): Collection of dissolved oxygen gridded products obtained from eight machine learning gap-filling algorithms at 1.0° and 0.25° spatial resolution. Marine Data Archive. https://doi.org/10.14284/812


Beschrijving

The files shared in this dataset are associated with the article "Global ocean deoxygenation trends are largely undetectable in machine learning reconstructions due to climate predictor sensitivity" by Olivelli et al., submitted to Machine Learning: Earth. Each file corresponds to one of the eight experiments described in the article and includes dissolved O2 concentrations obtained from a machine learning gap-filling algorithm at monthly resolution between 1993 and 2022 from 0 to 1500 m depth. The spatial resolution is either 1 degree or 0.25 degree, as specified in the file name. Please find more information in the README.rtf file associated with this collection.


Scope
Thema's:
Watersamenstelling > Opgeloste gassen
Kernwoorden:
Biogeochemische cyclus · Chemische oceanografie · Dissolved oxygen · Klimaat · World Oceans

Geografische spreiding
World Oceans [Marine Regions]

Spreiding in de tijd
1 Januari 1993 - 31 December 2022
Maandelijks

Parameter
Opgeloste zuurstof

Bijdrage door
Vlaams Instituut voor de Zee (VLIZ), meerdata creator
University of Hawaii; University of Hawaii at Manoa, meerdata creator

Project
InMOS: Integration of models and observations across scales (InMOS): A novel data synthesis framework for diagnosing the coupled cycles of ocean carbon, oxygen, and heat, meer
Financiering Stichtingen, fondsen e.d. met wetenschappelijk oogmerk
Subsidieovereenkomst ID G-24-66445

Dataset status: Afgelopen
Data type: Data
Data oorsprong: Onderzoek: experiment
Metadatarecord aangemaakt: 2026-08-04
Informatie laatst gewijzigd: 2026-08-04
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid