Dataset of latent codes representing bird beak 3D shapes
plant_fungus.RdA deep learning model was trained on the signed distance field of
3d bird beak scans. This dataset contain the learned latent codes that
produce the bird beak shapes when passed through the trained companion
neural network. The trained neural network is available from load_model()
#d scans used to train the model were retrieved from the MarkMyBird project
dataset (https://www.markmybird.org/).
Format
plant_fungus
A 'pf' data frame (subclasses tibble) with 4,040 rows and 80 columns:
- label
Node labels including species name for the tip labels
- is_tip
Logical specifying whether the row represents a tip on the phylogeny
- phlo
The phylogenetic flow column which stores the phylogenetic information
- Common_name
The English common name for the bird species
- Scientific
The scientific name for the bird species
- Clade
Various traits of the bird species, see Source section to get more detailed information
- BLFamilyLatin
Taxonomic family latin name
- BLFamilyEnglish
Taxonomic family English common name
- Order
Taxonomic order
- OscSubOsc
Oscine or Sub-Oscine
- X and Y
Two dimensional UMAP dimension reduction of the 64 latent variables
- X0, Y0, and Z0
Three dimensional UMAP dimension reduction of the 64 latent variables
- latent_code_1:latent_code_63
64 latent codes representing bird bealk shapes, estimated using a autodecoder neural network architecture