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821 |
Reviews and syntheses: A scoping review evaluating the potential application of ecohydrological models for northern peatland restoration
Enthalten in Biogeosciences Bd. 21, 2024, Nr. 13: 3143-3163. 21 S.
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822 |
Using automated machine learning for the upscaling of gross primary productivity
Enthalten in Biogeosciences Bd. 21, 2024, Nr. 10: 2447-2472. 26 S.
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823 |
Assessing improvements in global ocean <italic>p</italic>CO<sub>2</sub> machine learning reconstructions with Southern Ocean autonomous sampling
Enthalten in Biogeosciences Bd. 21, 2024, Nr. 8: 2159-2176. 18 S.
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824 |
Synergistic use of Sentinel-2 and UAV-derived data for plant fractional cover distribution mapping of coastal meadows with digital elevation models
Enthalten in Biogeosciences Bd. 21, 2024, Nr. 6: 1411-1431. 21 S.
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825 |
Ion channel classification through machine learning and protein language model embeddings
Enthalten in Journal of integrative bioinformatics Bd. 21, 2024, Nr. 4. 18 S.
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826 |
MCMVDRP: a multi-channel multi-view deep learning framework for cancer drug response prediction
Enthalten in Journal of integrative bioinformatics Bd. 21, 2024, Nr. 3. 11 S.
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827 |
Investigating ecosystem connections in the shelf sea environment using complex networks
Enthalten in Biogeosciences Bd. 21, 2024, Nr. 3: 731-746. 16 S.
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828 |
High-resolution spatial patterns and drivers of terrestrial ecosystem carbon dioxide, methane, and nitrous oxide fluxes in the tundra
Enthalten in Biogeosciences Bd. 21, 2024, Nr. 2: 335-355. 21 S.
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829 |
Machine learning methods to predict sea surface temperature and marine heatwave occurrence: a case study of the Mediterranean Sea
Enthalten in Ocean science Bd. 20, 2024, Nr. 2: 417-432. 16 S.
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830 |
Technical note: Extending sea level time series for the analysis of extremes with statistical methods and neighbouring station data
Enthalten in Ocean science Bd. 20, 2024, Nr. 1: 21-30. 10 S.
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