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Description

ECOHAB is a peer-reviewed, national, competitive program that funds regional-scale and targeted studies. Regional ecosystem investigations of the causes and impacts of HABs leading to development of model-based operational ecological forecasting capabilities in areas with severe, recurrent blooms are a high priority.

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
1999-03-01 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
C1633360212-OB_DAAC
Data State
ACTIVE
Number of Files/Granules
611
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. (1999). ECOHAB [Dataset]. NASA Ocean Biology Distributed Active Archive Center. https://doi.org/10.5067/SEABASS/ECOHAB/DATA001 Date Accessed: 2026-09-12
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Publications Citing This Dataset

Filters
Title Year Author Topic
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 Ocean Chemistry, Ocean Optics, Ocean Temperature, Salinity/Density
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 Ocean Chemistry, Ocean Optics, Ocean Temperature, Salinity/Density
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