CrossRef Text and Data Mining
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Survey of Airborne Fungi Levels in 24 Seasonal Divisions and Correlation Analysis with Meteorological Elements
Myoung Nam Kim, Jin Young Hong, Jeong Min Lee, Ji Hee Park
J. Conserv. Sci. 2019;35(6):652-663.   Published online December 31, 2019
DOI: https://doi.org/10.12654/JCS.2019.35.6.08

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Survey of Airborne Fungi Levels in 24 Seasonal Divisions and Correlation Analysis with Meteorological Elements
Journal of Conservation Science. 2019;35(6):652-663   Crossref logo
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An improvement of seasonal climate prediction by regularized canonical correlation analysis
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Formulation and survey of ALE method in nonlinear solid mechanics
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Seasonal Variation of Airborne Fungi of the Tiantishan Grottoes and Western Xia Museum, Wuwei, China
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A year-round study on functional relationships of airborne fungi with meteorological factors
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