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

Dataset

Description

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

'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
'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
Date made available7 Jun 2024
Publisherosf
Geospatial polygon150.753046,-33.601989 150.742577,-33.61071 150.739831,-33.623576 150.776042,-33.635439 150.778273,-33.633581 150.757164,-33.604134 150.753046,-33.601989

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