A photographic data set of reef and coral communities across Venezuela

Abstract

This dataset contains 2850 photographs of the seafloor in coral communities from Venezuela that were taken during 2017 and 2018. We used a hierarchical experimental design with four random factors representing four different spatial scales: (1) region (hundreds of kilometers), (2) localities (tens of kilometers), (2) reef sites (hundreds of meters) and (3) transects (a couple meters) across the Venezuelan coast. At each site, four 30-m transects were deployed parallel to the coastline, and 15 pictures were taken every other meter at each transect, containing an area of at least 80 × 90cm with enough resolution to identify benthic groups. This dataset covers spatial scales from a few meters to hundreds of kilometers; marine protected areas, and non-protected areas; coastal zones, continental and oceanic islands. These images have the potential to be further used for training researchers in benthic organisms identification, and training artificial intelligence classification algorithms. Also, they represent and updated baseline to perform spatial and temporal comparisons in Venezuela or further studies involving multiple spatial scales in the region.

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Citation

BibTeX citation:

@online{m._montilla2021,
  author = {M. Montilla, Luis and Miyazawa, Emy and Verde, Alejandra and
    Agudo-Adriani, Esteban and Ascanio, Alfredo and Cappelletto, José
    and López-Hernandez, María and Mariño-Briceño, Gloria and Martínez,
    Stephanie and Rebolledo-Sánchez, Zlatka and Rivera, Andreína and S.
    Mancilla, Daniela and Cróquer, Aldo},
  title = {A Photographic Data Set of Reef and Coral Communities Across
    {Venezuela}},
  date = {2021-08-01},
  url = {https://www.luismmontilla.com/papers/montilla2021/},
  doi = {10.1016/j.dib.2021.107235},
  langid = {en},
  abstract = {This dataset contains 2850 photographs of the seafloor in
    coral communities from Venezuela that were taken during 2017 and
    2018. We used a hierarchical experimental design with four random
    factors representing four different spatial scales: (1) region
    (hundreds of kilometers), (2) localities (tens of kilometers), (2)
    reef sites (hundreds of meters) and (3) transects (a couple meters)
    across the Venezuelan coast. At each site, four 30-m transects were
    deployed parallel to the coastline, and 15 pictures were taken every
    other meter at each transect, containing an area of at least 80 ×
    90cm with enough resolution to identify benthic groups. This dataset
    covers spatial scales from a few meters to hundreds of kilometers;
    marine protected areas, and non-protected areas; coastal zones,
    continental and oceanic islands. These images have the potential to
    be further used for training researchers in benthic organisms
    identification, and training artificial intelligence classification
    algorithms. Also, they represent and updated baseline to perform
    spatial and temporal comparisons in Venezuela or further studies
    involving multiple spatial scales in the region.}
}

For attribution, please cite this work as:

M. Montilla, Luis, Emy Miyazawa, Alejandra Verde, et al. 2021. “A Photographic Data Set of Reef and Coral Communities Across Venezuela.” Data in Brief, August 1. https://doi.org/10.1016/j.dib.2021.107235.