NAAMES_IFCB_diatoms_image_features

This text file (NAAMES_IFCB_diatoms_image_features.txt) contains data on all Imaging FlowCytobot (IFCB) images identified as diatoms (either individual cells or chains) during the North Atlantic Aerosol and Marine Ecosystem Study (NAAMES). Data are from the western North Atlantic, 2015-2018; see Behrenfeld et al. (2019) Frontiers in Marine Science for expedition details. The images were collected using an IFCB deployed onboard the ship and connected to the flowing sea-water system with intake at ~5 m depth. The images were classified and the data here identified as diatoms using a convolutional neural network with 90% accuracy. See https://github.com/emmettFC/selected-projects/blob/master/plankton_vision/README.md for details of the neural network development and testing. Data are used in the manuscript "Plankton Imagery Data Inform Satellite-Based Estimates of Diatom Carbon", Geophysical Research Letters, 49, e2022GL098076. https://doi. org/10.1029/2022GL098076. Additional data from the NAAMES expedition are available at https://seabass.gsfc.nasa.gov/naames.