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

Pagou, Kalliopi; Assimakopoulou, Georgia (2008): Microplankton abundance at bottle station SEPT-1999-K7 [dataset]. Hellenic Center of Marine Research, Institut of Oceanography, Greece, PANGAEA, https://doi.org/10.1594/PANGAEA.688631

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

RIS CitationBibTeX CitationShow MapGoogle Earth

Funding:
Fourth Framework Programme (FP4), grant/award no. MAS3970148: Key coastal processes in the mesotropic Skagerrak and the oligotrophic Northern Aegean: a comparative study
Sixth Framework Programme (FP6), grant/award no. 36949: Southern European Seas: Assessing and Modelling Ecosystem Changes
Coverage:
Latitude: 40.045000 * Longitude: 25.568333
Date/Time Start: 1999-09-29T10:00:00 * Date/Time End: 1999-09-29T10:00:00
Minimum DEPTH, water: m * Maximum DEPTH, water: 65 m
Event(s):
SEPT-1999-K7 (K7) * Latitude: 40.045000 * Longitude: 25.568333 * Date/Time: 1999-09-29T10:00:00 * Campaign: SEPT-1999 * Basis: Aegaeo * Method/Device: Bottle, Niskin 10-L (NIS_10L)
Comment:
Microplankton species composition analysis was performed according to the Utermöhl (1958) inverted microscope method. Samples for the identification and enumeration of larger phytoplankton cells (>5µm), were preserved in alkaline Lugols solution. The following groups: Diatoms, Dinoflagellates and Coccolithophores were determined at species level when possible, or at higher taxonomic levels.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1DEPTH, waterDepth watermGeocode
2DiatomsDiatoms#/lPagou, KalliopiQuantitative phytoplankton method (Utermöhl, 1958)
3DinoflagellatesDinofl#/lPagou, KalliopiQuantitative phytoplankton method (Utermöhl, 1958)
4CoccolithophoridaeCoccolith#/lPagou, KalliopiQuantitative phytoplankton method (Utermöhl, 1958)
5MicroplanktonMicropl#/lPagou, KalliopiQuantitative phytoplankton method (Utermöhl, 1958)
Size:
16 data points

Download Data

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

View dataset as HTML