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First visual occurrence data for deep-sea cnidarians in the South-western Colombian Caribbean.

Luisa F DueñasCristina Cedeño-PossoAlejandro GrajalesSantiago HerreraEstefanía RodriguezJuan Armando SánchezJorge LeonVladimir Puentes
Published in: Biodiversity data journal (2019)
Capitalising on available data resources from these activities, several cnidarian species were observed in ROV and towed camera surveys. We analysed over nine hours of video and 5,066 still images from these surveys, identifying organisms to the lowest possible taxonomic level. The images and associated data presented here correspond to 108 observations of deep-sea cnidarians, including seven new records for the Colombian Caribbean. Given the paucity of research and funding to explore the deep-sea in Colombia, the present dataset comprises the largest deep-sea Cnidaria imagery inventory to date for the Colombian Caribbean.
Keyphrases
  • electronic health record
  • convolutional neural network
  • big data
  • deep learning
  • cross sectional
  • risk assessment
  • optical coherence tomography
  • data analysis
  • artificial intelligence