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Pérez, M T; Dolan, John; Vidussi, Francesca; Fukai, E (2000): Abundance and biomass of planktic ciliates at station DYNAPROC_270. PANGAEA, https://doi.org/10.1594/PANGAEA.185020, In supplement to: Pérez, MT et al. (2000): Diel vertical distribution of planktonic ciliates within the surface layer of the NW Mediterranean (May 1995). Deep Sea Research Part I: Oceanographic Research Papers, 47(3), 479-503, https://doi.org/10.1016/S0967-0637(99)00099-0

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Funding:
Sixth Framework Programme (FP6), grant/award no. 36949: Southern European Seas: Assessing and Modelling Ecosystem Changes
Coverage:
Latitude: 43.253190 * Longitude: 7.517650
Date/Time Start: 1995-05-30T14:00:00 * Date/Time End: 1995-05-30T14:00:00
Minimum DEPTH, water: m * Maximum DEPTH, water: 50 m
Event(s):
DYNAPROC_270 * Latitude: 43.253190 * Longitude: 7.517650 * Date/Time: 1995-05-30T14:00:00 * Campaign: DYNAPROC * Basis: Le Suroît * Method/Device: CTD/Rosette (CTD-RO)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DEPTH, waterDepth watermGeocode
Ciliates, mixotrophicCiliates mixo#/lPérez, M TInverted microscopy
Ciliates, heterotrophicCiliates het#/lPérez, M TInverted microscopy
Mesodinium rubrumM. rubrum#/lPérez, M TInverted microscopy
CiliatesCiliates#/lPérez, M TInverted microscopy
Ciliates, mixotrophic, biomass as carbonMCIL Cµg/lPérez, M TInverted microscopy
Ciliates, heterotrophic, biomass as carbonHCIL Cµg/lPérez, M TInverted microscopy
Mesodinium rubrum, biomass as carbonM. rubrum Cµg/lPérez, M TInverted microscopy
Ciliates, biomass as carbonCiliates Cµg/lPérez, M TInverted microscopy
Size:
48 data points

Data

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


Depth water [m]

Ciliates mixo [#/l]

Ciliates het [#/l]

M. rubrum [#/l]

Ciliates [#/l]

MCIL C [µg/l]

HCIL C [µg/l]

M. rubrum C [µg/l]

Ciliates C [µg/l]
584017400.0025800.4690.7450.000001.214
109206800.0216001.0070.6930.002161.703
20148018400.2033200.4792.0310.021552.532
30244033600.2858000.5602.0590.030172.650
4026010900.2813500.3320.6830.030171.045
50303300.003600.0690.1470.000000.216