Skip to main navigation Skip to search Skip to main content

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

    UN SDGs

    This dataset contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 15 - Life on Land
      SDG 15 Life on Land

    Cite this