Literature DB >> 31336398

Leaf venation networks of Bornean trees: images and hand-traced segmentations.

Benjamin Blonder1, Sabine Both2, Miguel Jodra1, Noreen Majalap3, David Burslem2, Yit Arn Teh2, Yadvinder Malhi1.   

Abstract

The data set contains images of leaf venation networks obtained from tree species in Malaysian Borneo. The data set contains 726 leaves from 295 species comprising 50 families, sampled from eight forest plots in Sabah. Image extents are approximately 1 × 1 cm, or 50 megapixels. All images contain a region of interest in which all veins have been hand traced. The complete data set includes over 30 billion pixels, of which more than 600 million have been validated by hand tracing. These images are suitable for morphological characterization of these species, as well as for training of machine-learning algorithms that segment biological networks from images. Data are made available under the Open Data Commons Attribution License. You are free to copy, distribute, and use the database; to produce works from the database; and to modify, transform, and build upon the database. You must attribute any public use of the database, or works produced from the database, in the manner specified in the license. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the database and keep intact any notices on the original database.
© 2019 The Authors. Ecology published by Wiley Periodicals, Inc. on behalf of The Ecological Society of America.

Keywords:  botany; cleared leaf; ecology; image analysis; image segmentation; leaf venation; machine learning; plant ecophysiology; tropical forest; vein network; venation network

Year:  2019        PMID: 31336398      PMCID: PMC6899953          DOI: 10.1002/ecy.2844

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


The complete data sets corresponding to abstracts published in the Data Papers section in the journal are published electronically as Supporting Information in the online version of this article at http://onlinelibrary.wiley.com/doi/10.1002/ecy.2844/suppinfo. Click here for additional data file.
  1 in total

1.  Leaf venation networks of Bornean trees: images and hand-traced segmentations.

Authors:  Benjamin Blonder; Sabine Both; Miguel Jodra; Noreen Majalap; David Burslem; Yit Arn Teh; Yadvinder Malhi
Journal:  Ecology       Date:  2019-08-16       Impact factor: 5.499

  1 in total
  2 in total

1.  Leaf venation networks of Bornean trees: images and hand-traced segmentations.

Authors:  Benjamin Blonder; Sabine Both; Miguel Jodra; Noreen Majalap; David Burslem; Yit Arn Teh; Yadvinder Malhi
Journal:  Ecology       Date:  2019-08-16       Impact factor: 5.499

2.  An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning.

Authors:  Peter Wilf; Scott L Wing; Herbert W Meyer; Jacob A Rose; Rohit Saha; Thomas Serre; N Rubén Cúneo; Michael P Donovan; Diane M Erwin; María A Gandolfo; Erika González-Akre; Fabiany Herrera; Shusheng Hu; Ari Iglesias; Kirk R Johnson; Talia S Karim; Xiaoyu Zou
Journal:  PhytoKeys       Date:  2021-12-16       Impact factor: 1.635

  2 in total

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