Improving phenological events identification in trees using manually measured dendrometer data: conventional approaches vs. the novel Two-Stage Threshold Approach

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Dataset information

Country of origin
Updated
2025.06.01 00:00
Created
2025.05.30
Available languages
English
Keywords
Quality scoring

Dataset description

1) Climate_2022_2024.xlsx Five columns:Date : date, in format %d-%m%-%YTempAvg.C : average daily temperature [°C]Precip.mm : daily precipitation sum [mm]PET.mm : daily Potential Evapotranspiration (Penman-Monteith method) [mm]CWB.mm : Climatic Water Balance [mm] = Precip.mm - PET.mm   2) Raw Data Dendrometers (Basal Area).xlsx Data sheet with tree sizes recorded by each date (every column), from which the cumulative basal area growth curves were derived, and finally, the phenological events (48 columns). TREE : A unique tree numberSP : Species of each treePLOT: A unique sample plot numberColumns 18.05.2022 - 28.08.2024 (45 columns) : basal area of each tree [mm^2], attained by a date = column name.   3)  Phenol. Events Reference.xlsx Data sheet containing phenological events identified a vista (DOY - day of year),used as reference  in the article (6 columns,). TREE : A unique tree number    YEAR : Year during which the phenological events were recognized   Growth_onset :  Spring onset of growth    Summer_cessation : Summer cessation of growth    Autumn_onset : Autumn onset of growthYear_cessation : Cessation of the yearly growth.  4) 2STA_v.02_R R script, with the body of the function implementing 2STA method, as described in the article. 
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