Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Sieracki, Michael (2003): Cyanobacteria, phototrophic and heterotrophic pico-nanoplankton at station TT007_6-CTD67. PANGAEA, https://doi.org/10.1594/PANGAEA.122800

Always quote above citation when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Related to:
Sieracki, Michael (2003): Cyanobacteria, phototrophic and heterotrophic pico-nanoplankton. United States JGOFS Process Study Data 1989-1998; CD-ROM volume 1, version 2, Woods Hole Oceanographic Institution, USA: U.S. JGOFS Data Management Office
Project(s):
Coverage:
Latitude: 2.064800 * Longitude: -139.937300
Date/Time Start: 1992-02-18T06:00:00 * Date/Time End: 1992-02-18T06:00:00
Minimum DEPTH, water: 20 m * Maximum DEPTH, water: 120 m
Event(s):
TT007_6-CTD67 (02180600 CTD-67) * Latitude: 2.064800 * Longitude: -139.937300 * Date/Time: 1992-02-18T06:00:00 * Campaign: TT007 * Basis: Thomas G. Thompson * Device: CTD/Rosette (CTD-RO)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethodComment
1DEPTH, waterDepth watermGeocode
2Cyanobacteria, synechococcus-typeCyanobact syne-t#/mlSieracki, Michael
3Obacteria, synechococcus-type, cell biovolumeCyanobact syne-t biovµm3Sieracki, Michael
4Cyanobacteria, synechococcus-type, biomass as carbonCyanobact syne-t Cµg/lSieracki, Michael
5Pico-/Nanoplankton phototrophic eucaryoticPicopl nanopl photo euc#/lSieracki, Michael
6Nanoplankton, phototrophic eucaryotic, cell biovolumePicopl nanopl photo euc biovolµm3Sieracki, Michael
7Pico-/Nanoplankton phototrophic eucaryotic, biomass as carbonPicopl nanopl photo euc Cµg/lSieracki, Michael
8Pico-/Nanoplankton heterotrophic eucaryoticPicopl nanopl het euc C#/lSieracki, Michael
9Nanoplankton, heterotrophic eucaryotic, cell biovolumeNanopl het euc biovolµm3Sieracki, Michael
10Pico-/Nanoplankton heterotrophic eucaryotic, biomassPicopl nanopl het euc C Cµg/lSieracki, Michael
11Bottle numberBottleSieracki, Michael
Size:
54 data points

Download Data

Download dataset as tab-delimited text (use the following character encoding: )

View dataset as HTML