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Description

The South Florida Marine Biodiversity Observation Network (SFMBON) build on the foundations laid by the present Sanctuaries MBON demonstration. A close partnership with NOAA AOML and the FKNMS has focused on periodic MBON surveys of the Florida Keys since 2014. The South Florida MBON seeks to integrate ground and satellite observations related to biodiversity to inform ecosystem-based management in and around the Florida Keys National Marine Sanctuary (FKNMS).

Product Summary

Platforms
Buoys ,
MOORINGS ,
Water-based Platforms ,
AUVS ,
ROVS ,
Ships
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2015-07-27 to Present
Data Partner
Ocean Biology Distributed Active Archive Center (OB.DAAC), Global Change Data Center, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/GCDC/OB.DAAC) ,
SeaWiFS Bio-optical Archive and Storage System, Global Change Data Center, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/GCDC/SeaBASS)
Concept ID
C1934268141-OB_DAAC
Data State
ACTIVE
Number of Files/Granules
5513
Processing Level
2
Science Keywords
Ocean Chemistry ,
Ocean Optics ,
Ocean Temperature ,
Salinity/Density

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

SeaBASS. (2015). SFMBON [Dataset]. NASA Ocean Biology Distributed Active Archive Center. https://doi.org/10.5067/SEABASS/SFMBON/DATA001 Date Accessed: 2026-10-07
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Publications Citing This Dataset

Filters
Title Authors Year Referenced Datasets
Seasonal changes in phytoplankton community of the Straits of Florida near the Florida Keys
  • Di Geronimo, Sebastian, Finch, Anna Hope, Montes, Enrique, Muller-Karger, Frank
Latitude Dictates Global Marine Diatom Dynamics: Insights From 25 years
  • Sun, Deyong, Li, Minghui, Wang, Shengqiang, Jamet, Cedric, Dionisi, Davide, Ye, Zixu, Chen, Peng
On the generalization ability of probabilistic neural networks for
  • Werther, Mortimer, Burggraaff, Olivier, Gurlin, Daniela, Saranathan, Arun M., Balasubramanian, Sundarabalan V., Giardino, Claudia, Braga, Federica, Bresciani, Mariano, Pellegrino, Andrea, Pinardi, Monica, Simis, Stefan G.H., Lehmann, Moritz K., Kangro, Kersti, Alikas, Krista, Ficek, Dariusz, Odermatt, Daniel
Mixture density networks for re-constructing historical ocean-color products over inland and coastal waters: demonstration and validation
  • Balasubramanian, Sundarabalan V., OShea, Ryan E., Saranathan, Arun M., Begeman, Christopher C., Gurlin, Daniela, Binding, Caren, Giardino, Claudia, Tomlinson, Michelle C., Alikas, Krista, Kangro, Kersti, Lehmann, Moritz K., Reed, Lisa
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