Journal Article

UruDendro, a public dataset of 64 cross-section images and manual annual ring delineations of Pinus taeda L

Randall, Gregory, Casaravilla, Verónica, Rocha Galli, María Noel, Passarella, Diego, Lucas, Christine, Profumo, Ludmila, Marichal, Henry, Ambite, Serrana

2025

Overview

Key Message The automatic detection of tree-ring boundaries and other anatomical features using image analysis has progressed substantially over the past decade with advances in machine learning and imagery technology, as well as increasing demands from the dendrochronology community. This paper presents a publicly available dataset of 64 annotated images of transverse sections of commercially grown Pinus taeda L. trees from northern Uruguay, presenting 17 to 24 annual rings. The collection contains several challenging features for automatic ring detection, including illumination and surface preparation variation, fungal infection (blue stains), knot formation, missing bark or interruptions in outer rings, and radial cracking. This dataset can be used to develop and test automatic tree ring detection algorithms. The dataset presented here was used to develop the Cross-Section Tree-Ring Detection (CS-TRD) method, an open-source automated ring-detection algorithm for cross-sectioned images. Dataset access at https://doi.org/10.5281/zenodo.15110647 . Access to the metadata describing the data set:  https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/5fdbd411-9ae1-4ce6-8ef0-cdfa2fbd7a6a .

• Publisher: BioMed Central,Springer Nature B.V,Springer Nature (since 2011)/EDP Science (until 2010),BMC
• Subject: Algorithms / Annual rings / automatic detection / Automatic measurement / Bark / Biomedical and Life Sciences / Cross-sections / data collection / Data Paper / Datasets / Dendrochronology / Dendrometry / Environment / Forestry / Forestry Management / forests / fungi / growth rings / Image analysis / Image processing / Life Sciences / lighting / Machine learning / Metadata / Pine trees / Pinus taeda / Plantations / Plywood / Soils / Surface preparation / Tree Biology / Tree ring area / Tree ring width / Tree rings / Trees / Uruguay / Wood cross sections / Wood Science & Technology