NAAMES_IFCB_diatoms_image_features

<p>This text file (NAAMES_IFCB_diatoms_image_features.txt) contains&nbsp;data on all&nbsp;Imaging FlowCytobot (IFCB) images identified as diatoms (either individual cells or chains)&nbsp;during the North Atlantic Aerosol and Marine Ecosystem&nbsp;Study (NAAMES). Data are from the&nbsp;western North Atlantic, 2015-2018; see Behrenfeld et al. (2019)&nbsp;<em>Frontiers in Marine Science&nbsp;</em>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.&nbsp;See&nbsp;https://github.com/emmettFC/selected-projects/blob/master/plankton_vision/README.md for details of the neural&nbsp;network development and testing. Data are used in the manuscript &quot;Plankton Imagery Data Inform Satellite-Based Estimates of Diatom Carbon&quot;, Geophysical Research Letters, 49, e2022GL098076. https://doi. org/10.1029/2022GL098076. Additional data from the NAAMES expedition are available at&nbsp;https://seabass.gsfc.nasa.gov/naames.</p>