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851 |
Radar and environment-based hail damage estimates using machine learning
Enthalten in Atmospheric measurement techniques Bd. 17, 2024, Nr. 2: 407-422. 16 S.
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852 |
A model for rapid PM<sub>2.5</sub> exposure estimates in wildfire conditions using routinely available data: rapidfire v0.1.3
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 1: 381-397. 17 S.
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853 |
Machine learning approaches for automatic classification of single-particle mass spectrometry data
Enthalten in Atmospheric measurement techniques Bd. 17, 2024, Nr. 1: 299-313. 15 S.
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854 |
Research of low-cost air quality monitoring models with different machine learning algorithms
Enthalten in Atmospheric measurement techniques Bd. 17, 2024, Nr. 1: 181-196. 16 S.
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855 |
Precision Nutrition for Management of Cardiovascular Disease Risk during Menopause
Enthalten in Lifestyle genomics Bd. 17, 2024, Nr. 1: 93-101. 9 S.
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856 |
A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types
Enthalten in Earth system science data Bd. 16, 2024, Nr. 7: 3307-3332. 26 S.
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857 |
Visibility-derived aerosol optical depth over global land from 1959 to 2021
Enthalten in Earth system science data Bd. 16, 2024, Nr. 7: 3233-3260. 28 S.
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858 |
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.
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859 |
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.
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860 |
IPB-MSA&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.
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