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CoralCT:  a platform for transparent and collaborative analyses of growth parameters in  coral skeletal cores            
  • +4
  • Thomas M Decarlo,
  • Allyndaire Whelehan,
  • Brighton Hedger,
  • Devyn Perry,
  • Maya Pompel,
  • Oliwia Jasnos,
  • Avi Strange
Thomas M Decarlo
Earth and Environmental Sciences Department, Tulane University, Marine Science Department, Hawai'i Pacific University
Allyndaire Whelehan
Marine Science Department, Hawai'i Pacific University
Brighton Hedger
Marine Science Department, Hawai'i Pacific University
Devyn Perry
Marine Science Department, Hawai'i Pacific University
Maya Pompel
Marine Science Department, Hawai'i Pacific University
Oliwia Jasnos
Earth and Environmental Sciences Department, Tulane University
Avi Strange
Earth and Environmental Sciences Department, Tulane University

Abstract

We present CoralCT, a software application for analysis of annual extension, density, and calcification in coral skeletal cores. CoralCT can be used to analyze computed tomography (CT) scans or X-ray images of skeletal cores through a process in which observers interact with images of a core to define the locations of annual density bands. The application streamlines this process by organizing the observer-defined banding patterns and automatically measuring growth parameters. Analyses can be conducted in 2- or 3-dimensions, and observers have the option to utilize an automatic band detection feature. CoralCT is linked to a server that stores the raw CT and X-ray image data, as well as output growth rate data for hundreds of cores. Overall, this server-based system enables broad collaborations on coral core analysis with standardized methods and—crucially—creates a pathway for implementing multi-observer analysis. We assess the method by comparing multiple techniques for measuring annual extension and density, including a corallite-tracing approach, medical imaging software, 2-dimensional versus 3-dimensional analyses, and between multiple observers. We recommend that CoralCT be used not only as a measurement tool but also as a platform for data archiving and conducting open, collaborative science.
10 Nov 2024Submitted to ESS Open Archive
11 Nov 2024Published in ESS Open Archive