Using seed morphological traits to predict early performance using pelletized seed enhancement technologies in restoration practice

Manuscript, data, and code associated with a germination experiment using seed enhancement technologies in New South Wales, Australia.

Two scripts provided for use in R
1. 'treatment_comparisons.txt' details treatment-wise comparisons of emergence, survival, and average time to emergence between treatments (1) bare seed and (2) pelletised replicates of native species
2. 'trait_script.txt' details comparisons of seed morphological traits as predictors of species performance using pellets

Three major dataframes provided:
Emergence_data.csv - raw emergence data from the experiment
seed_traits_no_se.csv - average seed morphological trait information from x-ray images
emergence_traits.csv- emergence speed data from species in the experiment

Three supporting dataframes provided:
Amenability.csv - characterised amenability
results_bin.csv - dataframe based on treatment models to use in plotting results
pairwise_letters.csv - dataframe based on treatment models to use in plotting results