This dataset is supplementary data for two journal publications. Two files, named “Raw.csv” and “Processed.csv” are provided. The “Processed.csv” was used as such in paper , which contains related interpretations, background and conclusions related to the data. The “Raw.csv” contain raw data and the accompanying Data in brief data article  describes the applied data collection methods and procedures.
See further detail from the related articles.
 Majasalmi T., & Rautiainen, M.A. 2020. The impact of tree canopy structure on understory variation in a boreal forest. Forest Ecology and Management (2020).
 Majasalmi T., & Rautiainen, M.A. 2020. Dataset of tree canopy structure and variation in understory composition in a boreal forest site. Data in Brief (2020).
Data content in short:
In “Processed.csv”, for each plot, the mean understory composition is calculated, assuming the upper understory to overlay equally the lower understory components. In addition, LAI is shoot-level clumping corrected LAI, as opposed to the effective LAI, which is the direct output of the LAI-2000 device. In addition, tree species shares of total plot basal area (BA, m2/ha), are included in “Processed.csv”.
The raw data file “Raw.csv” contains, for each plot, vertical cover fractions of both upper and lower understory layers separately for sub-plots (named “p1_” and “p2_” followed by cover fraction component name) as they were measured in the field conditions. LAI in this file is the effective LAI, which is the direct output of the LAI-2000 device. In addition, basal areas of tree species and/or number of tree stems per hectare is provided.