Introduction Publications Bulk Product Taxa Product Merged Product
Pelagic Size Structure Database (PSSdb)
 
PSSdb-TAXA v2024-03

This is the first release of taxa-specific products from the Pelagic Size Structure database (PSSdb), a scientific project investigating the global particle size distributions measured from multiple pelagic imaging systems. These devices include the Imaging Flow Cytobot (Olson and Sosik 2007), the ZooScan (Gorsky et al. 2010), and the Underwater Vision Profiler (Picheral et al. 2010). The data sources come from Ecotaxa (https://ecotaxa.obs-vlfr.fr, Ecopart (https://ecopart.obs-vlfr.fr), and Imaging FlowCytobot dashboards (https://ifcb.caloos.org/dashboard and https://ifcb-data.whoi.edu/dashboard).

This initial dataset is composed of two products, separated by imaging device:
  • Product 1a includes size distributions calculated from normalized biovolume (NBSS) and normalized abundance (PSD) of plankton and particles within a set of pre-defined size classes (expressed in both biovolume and equivalent circular dimater), averaged by year and month, and in 1-degree longitude/latitude grid cells.

  • Product 1b includes the results of NBSS and PSD regression fit parameters (slopes, intercepts, coefficient of determination R2), averaged by year and month, and in 1-degree longitude/latitude grid cells. The regression parameters are defined using ordinary least squares linear regressions applied to log10 transformed normalized biovolume / normalized-abundance and biovolume / diameter-size class values.


The v2024-03 data can be downloaded here:

https://doi.org/10.5281/zenodo.10810191

This Zenodo packet includes both the PSSdb v2024-03 data files and documention.



References:
      Dugenne, M., Corrales- Ugalde, M., O'Brien, T., Lombard, F., Irisson, J.-O., Stemmann, L., Stock, C., Kiko, R., & Luo, J. Y. (2024). PSSdb-Taxa: A Pelagic Size Structure database taxa-specific product to support biogeochemical modeling: First release of taxa-specific products (v2024-03_taxa (first release)) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10810191

      Durkin, C. A., Buesseler, K. O., Cetinić, I., Estapa, M. L, Kelly, R. P.,Omand, M.. A Visual Tour of Carbon Export by Sinking Particles. Global Biogeochemical Cycles 35, e2021GB006985. 2021

      Gorsky G., Ohman M. D., Picheral M., Gasparini S., Stemmann L., Romagnan B., Cawood A., Pesant S., Garcia-Comas C., Prejger F. 2010. Digital zooplankton image analysis using the ZooScan integrated system. J. Plankton Res. 32, 2010, 285303

      Jonasz, M. and Fournier, G. 1996. Approximation of the size distribution of marine particles by a sum of log-normal functions. Limnol. Oceanogr., 41, 744-754

      Lehette, P. & Hernández-León, S. Zooplankton biomass estimation from digitized images: a comparison between subtropical and Antarctic organisms. Limnol. Oceanogr. Methods 7, 2009, 304308

      Neeley, A. et al. Standards and practices for reporting plankton and other particle observations from images. 2021

      Olson R. J. and Sosik H. M. 2007. A submersible imaging-in-flow instrument to analyze nano- and microplankton: Imaging FlowCytobot. Limnol. Oceanogr.Methods 5, 2007, 195203

      Picheral M., Guidi L., Stemmann L., Karl D. M., Iddaoud G., Gorsky G. 2010. The Underwater Vision Profiler 5: An advanced instrument for high spatial resolution studies of particle size spectra and zooplankton. Limnol. Oceanogr.: Methods 8, 2010, 462473

      San-Martin E., Harris R.P., Irigoien X. 2006. Latitudinal variation in plankton size spectra in the Atlantic Ocean. Deep Sea Res. II. 53, 2006, 1560-1572

      Schartau M., Landry M.R., Armstrong R.A. 2010. Density estimation of plankton size spectra: a reanalysis of IronEX II data. J. Plankton Res. 32, 2010, 1167-1184


Fri Nov 15 10:26:41 AM EST 2024




    PSSdb is part of COPEPOD's data ecosystem.