LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion ; day:18 ; month:11 ; year:2021 ; pages:1-39 ; extent:39
Earth system science data discussions ; (18.11.2021), 1-39 (gesamt 39)
- Urheber
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Bai, Kaixu
Li, Ke
Ma, Mingliang
Li, Kaitao
Li, Zhengqiang
Guo, Jianping
Chang, Ni-Bin
Tan, Zhuo
Han, Di
- DOI
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10.5194/essd-2021-404
- URN
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urn:nbn:de:101:1-2021112504271065818686
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:31 MESZ
Datenpartner
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Beteiligte
- Bai, Kaixu
- Li, Ke
- Ma, Mingliang
- Li, Kaitao
- Li, Zhengqiang
- Guo, Jianping
- Chang, Ni-Bin
- Tan, Zhuo
- Han, Di
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Investigation on cellular uptake of gold nanoparticles by multiphoton laser scanning microscopy
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LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion
Investigation on cellular uptake of gold nanoparticles by multiphoton laser scanning microscopy
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Energy-saving analysis of desalination equipment based on a machine-learning sequence modeling
Critical Review on Crystal Orientation Engineering of Antimony Chalcogenide Thin Film for Solar Cell Applications
Clustering algorithm for audio signals based on the sequential Psim matrix and Tabu Search
Identification of Parkinson’s disease-associated chromatin regulators
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Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid
The impact of non-communicable chronic diseases on the earned income of working age Chinese residents
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