BEST Ice Chlorophyll (chl) 2009

This dataset contains the algal pigment concentration data for sea ice segments collected during the Bering Sea Ecosystem Study-Bering Sea Integrated Ecosystem Research Program (BEST-BSIERP) 2009 field studies (cruises HLY0901 and HLY0902). BEST-BSIERP together are the Bering Sea project. These data were collected aboard the U.S. Coast Guard Cutter Healy (HLY).

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Temporal Range

  • Begin:  2009-03-16T21:03:00Z
    End:  2009-05-05T21:03:00Z

Keywords

Resource Type dataset
Temporal Range Begin 2009-03-16T21:03:00Z
Temporal Range End 2009-05-05T21:03:00Z
Temporal Resolution N/A
Bounding Box North Lat 64.00000
Bounding Box South Lat 58.00000
Bounding Box West Long -179.00000
Bounding Box East Long -167.00000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : documentation_best_ice_chl_2009.pdf

Additional Information N/A
Resource Format CSV: Comma Separated Value (text/csv)
XLS: Excel (application/vnd.ms-excel)
Standardized Resource Format ASCII
Excel
Asset Size 1 MB
Legal Constraints

none


Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email datahelp@eol.ucar.edu
Resource Support Organization NSF NCAR Earth Observing Laboratory
Distributor NSF NCAR Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email datahelp@eol.ucar.edu
Metadata Contact Organization NSF NCAR Earth Observing Laboratory

Author Rolf R. Gradinger ORCID icon
Katrin Iken ORCID icon
Bodil A. Bluhm ORCID icon
Publisher NSF NCAR Earth Observing Laboratory
Publication Date 2012-08-30T16:52:40
Digital Object Identifier (DOI) https://doi.org/10.5065/D6QC01HC
Alternate Identifier 102.273
Resource Version 1.0
Topic Category biota
oceans
Progress completed
Metadata Date 2025-10-07T21:43:29Z
Metadata Record Identifier edu.ucar.eol::102.273
Metadata Language eng; USA
Suggested Citation Rolf R. Gradinger, Katrin Iken, Bodil A. Bluhm. (2012). BEST Ice Chlorophyll (chl) 2009. 1.0. NSF NCAR Earth Observing Laboratory. https://doi.org/10.5065/D6QC01HC. Accessed 22 January 2026.

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