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Global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with BLENDR, a Bayesian-optimized ensemble learning framework

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Published in:Earth System Science Data (ESSD)
Format: Online Article RSS Article
Published: 2026
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container_title Earth System Science Data (ESSD)
description
discipline_display Environmental Studies
discipline_facet Environmental Studies
format Online Article
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genre Journal Article
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journal_source_facet Earth System Science Data (ESSD)
publishDate 2026
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spellingShingle Global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with BLENDR, a Bayesian-optimized ensemble learning framework
Environmental Studies
General
Environmental Studies
sub_discipline_display General
sub_discipline_facet General
subject_display Environmental Studies
General
Environmental Studies
Environmental Studies
General
Environmental Studies
subject_facet Environmental Studies
General
Environmental Studies
title Global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with BLENDR, a Bayesian-optimized ensemble learning framework
title_auth Global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with BLENDR, a Bayesian-optimized ensemble learning framework
title_full Global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with BLENDR, a Bayesian-optimized ensemble learning framework
title_fullStr Global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with BLENDR, a Bayesian-optimized ensemble learning framework
title_full_unstemmed Global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with BLENDR, a Bayesian-optimized ensemble learning framework
title_short Global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with BLENDR, a Bayesian-optimized ensemble learning framework
title_sort global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with blendr, a bayesian-optimized ensemble learning framework
topic Environmental Studies
General
Environmental Studies
url https://doi.org/10.5194/essd-18-3757-2026