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Standards and practices for reporting plankton and other particle observations from images
Neeley, A.; Beaulieu, S.E.; Proctor, C.; Cetinic, I.; Futrelle, J.; Soto Ramos, I.; Sosik, H.M.; Devred, E.; Karp-Boss, L.; Picheral, M.; Poulton, N.; Roesler, C.S.; Shepherd, A. (2021). Standards and practices for reporting plankton and other particle observations from images. Woods Hole Oceanographic Institution: Woods Hole. 38 pp. https://dx.doi.org/10.1575/1912/27377

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Authors  Top 
  • Neeley, A.
  • Beaulieu, S.E.
  • Proctor, C.
  • Cetinic, I.
  • Futrelle, J.
  • Soto Ramos, I.
  • Sosik, H.M.
  • Devred, E.
  • Karp-Boss, L.
  • Picheral, M.
  • Poulton, N.
  • Roesler, C.S.
  • Shepherd, A.

Abstract
    This technical manual guides the user through the process of creating a data table for the submission of taxonomic and morphological information for plankton and other particles from images to a repository. Guidance is provided to produce documentation that should accompany the submission of plankton and other particle data to a repository, describes data collection and processing techniques, and outlines the creation of a data file. Field names include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genus) and scientificNameID, the unique identifier from a reference database such as the World Register of Marine Species or AlgaeBase. The data table described here includes the field names associatedMedia, scientificName/ scientificNameID for both automated and manual identification, biovolume, area_cross_section, length_representation and width_representation. Additional steps that instruct the user on how to format their data for a submission to the Ocean Biodiversity Information System (OBIS) are also included. Examples of documentation and data files are provided for the user to follow. The documentation requirements and data table format are approved by both NASA’s SeaWiFS Bio-optical Archive and Storage System (SeaBASS) and the National Science Foundation’s Biological and Chemical Oceanography Data Management Office (BCO-DMO).

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