Bio-GO-SHIP Plankton and Ocean Chemistry Measurements
Updated 2mo ago
2filesBIN
Available on 2 platforms
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Description
Bio-GO-SHIP is an international collaboration led by NASA to measure and predict the role of pelagic plankton communities in ocean biogeochemistry. The project leverages the global GO-SHIP platform, integrating omics, imaging, particle chemistry, and optical sampling with standard hydrographic measurements. Its mission is to quantify plankton diversity, size, composition, and abundance across large spatial and vertical scales.
Use Cases
Analyzing plankton molecular diversity and size spectra from omics and imaging data.
Correlating plankton abundance and chemical composition with concurrent hydrographic measurements like temperature and salinity.
Modeling how biological processes influence carbon, oxygen, and nutrient cycles across ocean basins.
Studying the vertical distribution of plankton communities in relation to optical properties.
Strengths
Project is designed for systematic, high-quality, and calibrated sampling across multiple techniques.
Integration with the established global GO-SHIP platform provides complementary physical and chemical environmental data.
Cross-platform presence on Data.gov and NASA EarthData indicates institutional importance and data sharing.
Limitations
Specific column names, row counts, and dataset size are not provided on any platform.
The listed update date of 2026-03 13 on Data.gov is a future date, indicating a metadata error or placeholder.
License information is inconsistently reported as 'other-license-specified' or null.
Provenance
Source
National Aeronautics and Space Administration (NASA)
Collection Method
Systematic ship-based sampling using omics, plankton imaging, particle chemistry, and optical techniques integrated with GO-SHIP hydrographic cruises.
Time Range
null
Freshness
2026-03-13 08:07:50.056897 (Note: This is a future date, likely a metadata error.)
Geography
Global ocean coverage via the GO-SHIP platform.
License details are unclear; data formats include BIN and ISO. The future 'last updated' date on Data.gov is a significant metadata conflict.