LeafMachine2 Data: Cornaceae Leaf Outlines and ECT

Cornaceae - 317,500 leaves - 44.4 GB: This repository contains HDF5 (.h5) files with leaf morphological data for species in the Cornaceae family. Each file represents a single leaf specimen and contains leaf shape outlines, the 128x128 ECT matrix, and associated metadata. File Contents This dataset contains 317,500 leaves from taxa in the family Cornaceae. Some leaves may be partial, predated, broken, or incomplete. Each .h5 file contains the following datasets: ECT_matrices/ - Euler Characteristic Transform (ECT) matrices capturing topological features of leaf shapes shapes/shape_0 - Coordinate array (x,y) defining the leaf outline boundary. component_names - Original filename identifier (without extension) group_labels - Taxonomic classification dictionary containing: family: Taxonomic family name genus: Genus classification genus_species: Binomial species name fullname: Complete taxonomic identifier Data Format Files are organized with standardized naming: [Herbarium]_[ID]_[Family]_[Genus]_[Species]__[LeafID].h5 Shape coordinates are normalized to a unit circle centered at the origin (-0.5 to 0.5 range), vertically oriented. Uncompressed Size: 44.4 GB Usage Code for reading, processing, and analyzing these files is available at: https://github.com/Gene-Weaver/LM2-Data-Tools The repository includes functions for extracting data and generating visualizations. Citation: Please cite the LeafMachine2 paper and this dataset. Weaver, W. N., & Smith, S. A. (2023). From leaves to labels: Building modular machine learning networks for rapid herbarium specimen analysis with LeafMachine2. Applications in Plant Sciences, 11(5), e11548. https://doi.org/10.1002/aps3.11548