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Available datasets on repositories

Here, you'll find links to repositories containing published dataset, R codes or other programs. Most of, if not all, are under Creative Commons Attribution Licenses (CCBY). The use, distribution, or reproduction in other forums is permitted, provided that the original publication is cited, following academic standards.
Hope, you'll find them helpful!


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Structure and composition of Taiwan benthic assemblages

  • Overview: Describing the structure and composition of benthic assemblages along Taiwan latitudinal gradient
  • Publication source: Ribas-Deulofeu L, et al. (2016) Structure of benthic communities along the Taiwan latitudinal gradient. PLoS ONE 11(8): e0160601. DOI: 10.1371/journal.pone.0160601
  • Repository type: GitHub
  • Data type: R script, csv
  • Time period: 2011-2012


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Impacts of heat stress and storm events

  • Overview: Bleaching and typhoon impacts in Kenting National Park during the 2015–2016 El Niño.
  • Publication source: Ribas-Deulofeu L, et al. (2021) Impacts of heat stress and storm events on the benthic communities of Kenting National Park (Taiwan) PeerJ 9:e11744. DOI: 10.7717/peerj.11744
  • Repository type: GitHub
  • Data type: csv
  • Time period: 2015-2017


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Portraying reef rugosity

  • Overview: Assessing reef complexity via multi-scale rugosity from high-resolution depth profiles
  • Publication source: Ribas-Deulofeu L, et al. (2021) Portraying Gradients of Structural Complexity in Coral Reefs Using Fine-Scale Depth Profiles. Frontiers in Marine Science 8, 675853. DOI: 10.3389/fmars.2021.675853
  • Repository type: GitHub
  • Data type: csv, python program
  • Time period: 2015


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Jeju Island benthic assemblages

  • Overview: Describing the benthic assemblages around Jeju Island at 5 and 15 m depth.
  • Publication source: Ribas-Deulofeu L, et al. (2023) Jeju Island: a sentinel for tracking ocean warming impacts on high-latitude benthic communities. Coral Reefs. DOI: 10.1007/s00338-023-02400-9
  • Repository type: Dryad
  • Data type: csv, jpeg
  • Time period: 2012-2014


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Evaluating AI classifier performance using confusion matrix in R.

  • Overview: Hands-on R demo: evaluating AI classifier performance using confusion matrices — applied to CoralNet benthic image classification.
  • Publication source: Unpublished / Demo dataset
  • Repository type: GitHub
  • Data type: csv, Rmd, R script, html


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Zooplankton demo dataset

  • Overview: Demonstration dataset of segmented zooplankton scans from Saltfjord, Norway, with EcoTaxa-ready TSV exports for practising AI training and identification toward AI-assisted characterization of zooplankton species assemblage, abundance, and biomass in marine ecosystems.
  • Publication source: Unpublished / Demo dataset
  • Repository type: GitHub
  • Data type: tsv, jpeg, zim
  • Time period: 1983-2021


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Microplankton demo dataset

  • Overview: Demonstration dataset of segmented microplankton (20um-200um) from Saltfjord, Norway, using a Planktoscope.
  • Publication source: Unpublished / Demo dataset
  • Repository type: GitHub
  • Data type: tsv, jpeg,
  • Time period: 2025

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