Canopy cover 2019 readme file General Information Name of data set: Canopy cover 2019 Name of data files in data set: canopy_cover_2019.csv Date the data set was last modified: 18 May 2020 Funder: NSF How to cite data: Holl, K.D., Reid, J.L., Cole, R.J., Oviedo-Brenes, F., Rosales, J.A. & Zahawi, R.A. (2020) Applied nucleation facilitates tropical forest recovery: Lessons learned from a 15-year study. Journal of Applied Ecology. Data Collection Description of data collected: Canopy cover in 2-5 m and >5 m height classes in July-August 2019. Methodology for data collection: We recorded vegetation point-intercepts at 2-5 m and >5 m heights along eight parallel 48-m transects through our restoration plots at 12 sites. Transects were separated by 6 m and points along transects were separated by 4 m for a total of 96 points. Data collector(s): primarily Juan Abel Rosales Where collected: 13 restoration sites in Coto Brus County, Puntarenas, Costa Rica When collected: July-August 2019 What collected: Point intercept cover data Person to contact with questions: K. D. Holl Data entry Software (including version #) used to prepare data set: MS Excel Data processing that was performed: The percentage of points with intercepts was divided by the total number of points (96) to calculate a proportion that had canopy cover. Person/people who entered data: J. Ortega Padilla Person/people who proofed data: K.D. Holl Variables List of variables – including full names, acronyms, units, precision, how each was measured, standards or calibrations used (if appropriate) Treat: treatment is Site: Two letter identifier of site name; NR = natural regeneration, AN = applied nucleation, PL = plantation; Canopy_2_5_m: proportion of intercepts in the 2-5 m layer; Canopy_gt_5_m: proportion of intercepts in the >5 m layer; Canopy_tot: proportion of intercepts in either of the two layers