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Artikel 861 Physical, social, and biological attributes for improved understanding and prediction of wildfires: FPA FOD-Attributes dataset
Enthalten in Earth system science data Bd. 16, 2024, Nr. 6: 3045-3060. 16 S.
Online Ressource
Artikel 862 Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology
Enthalten in Earth system science data Bd. 16, 2024, Nr. 6: 3001-3016. 16 S.
Online Ressource
Artikel 863 IPB-MSA&amp;SO<sub>4</sub>: a daily 0.25° resolution dataset of in situ-produced biogenic methanesulfonic acid and sulfate over the North Atlantic during 1998–2022 based on machine learning
Enthalten in Earth system science data Bd. 16, 2024, Nr. 6: 2717-2740. 24 S.
Online Ressource
Artikel 864 European topsoil bulk density and organic carbon stock database (0–20&thinsp;cm) using machine-learning-based pedotransfer functions
Enthalten in Earth system science data Bd. 16, 2024, Nr. 5: 2367-2383. 17 S.
Online Ressource
Artikel 865 Global 1&thinsp;km land surface parameters for kilometer-scale Earth system modeling
Enthalten in Earth system science data Bd. 16, 2024, Nr. 4: 2007-2032. 26 S.
Online Ressource
Artikel 866 Spatial mapping of key plant functional traits in terrestrial ecosystems across China
Enthalten in Earth system science data Bd. 16, 2024, Nr. 4: 1771-1810. 40 S.
Online Ressource
Artikel 867 Assessing risk-prone areas in the Kratovska Reka catchment (North Macedonia) by integrating advanced geospatial analytics and flash flood potential index
Enthalten in Open Geosciences Bd. 16, 2024, Nr. 1. 17 S.
Online Ressource
Artikel 868 Research progress of freeze–thaw rock using bibliometric analysis
Enthalten in Open Geosciences Bd. 16, 2024, Nr. 1. 18 S.
Online Ressource
Artikel 869 Analyzing the Role of Specific Damage-Associated Molecular Patterns-Related Genes in Osteoarthritis and Investigating the Association between β-Amyloid and Apolipoprotein E Isoforms
Enthalten in Journal of innate immunity Bd. 16, 2024, Nr. 1: 501-512. 12 S.
Online Ressource
Artikel 870 Using internal standards in time-resolved X-ray micro-computed tomography to quantify grain-scale developments in solid-state mineral reactions
Enthalten in Solid earth Bd. 15, 2024, Nr. 4: 493-512. 20 S.
Online Ressource


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