Cell abundances of taxonomic groups determined using a custom convolutional neural network from live Imaging FlowCytobot (IFCB) at seven stations sampled during R/V Pt. Sur cruise PS 18-09 in the western Gulf of Mexico, Sept-Oct 2017.
Cell abundances of taxonomic groups determined using a custom convolutional neural network from live Imaging FlowCytobot (IFCB) at seven stations sampled during R/V Pt. Sur cruise PS 18-09 in the western Gulf of Mexico, Sept-Oct 2017.
Date
2021-06-09
Authors
Campbell, Lisa
Henrichs, Darren W.
Henrichs, Darren W.
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Date Created
2021-02-08
Location
Texas coast
westlimit: -97.268; southlimit: 27.2286; eastlimit: -94.9; northlimit: 29.0649
westlimit: -97.268; southlimit: 27.2286; eastlimit: -94.9; northlimit: 29.0649
DOI
10.26008/1912/bco-dmo.840201.1
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Abstract
Cell abundance data for taxonomic groups from a custom convolutional neural network from live Imaging FlowCytobot (IFCB) at seven stations from surface and chlorophyll maximum depths during R/V Pt. Sur PS 18-09, western Gulf of Mexico, Sept-Oct 2017. This dataset was uncorrected and is for comparison with the Texas Observatory for Algal Succession Time-series (TOAST).
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/840201
Description
Dataset: HRR-IFCB cnn counts
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Citation
Campbell, L., & Henrichs, D. W. (2021). Cell abundances of taxonomic groups determined using a custom convolutional neural network from live Imaging FlowCytobot (IFCB) at seven stations sampled during R/V Pt. Sur cruise PS 18-09 in the western Gulf of Mexico, Sept-Oct 2017. (Version 1) [Data set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/BCO-DMO.840201.1
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