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Presence of free D-amino acids in microalgaeYOKOYAMA, Takehiko; KAN-NO, Nobuhiro; OGATA, Takehiko et al.Bioscience, biotechnology, and biochemistry. 2003, Vol 67, Num 2, pp 388-392, issn 0916-8451, 5 p.Article

An individual-based analysis of the dynamics of two coexisting phytoplankton species in the mixed layerCIANELLI, Daniela; SABIA, Luciana; RIBERA D'ALCALA, Maurizio et al.Ecological modelling. 2009, Vol 220, Num 19, pp 2380-2392, issn 0304-3800, 13 p.Article

Microalgae immobilization : Current techniques and usesMORENO-GARRIDO, Ignacio.Bioresource technology. 2008, Vol 99, Num 10, pp 3949-3964, issn 0960-8524, 16 p.Article

Phytoplankton response to climatic and anthropogenic influences in the north-eastern Adriatic during the last four decadesMARIC, Daniela; KRAUS, Romina; GODRIJAN, Jelena et al.Estuarine, coastal and shelf science (Print). 2012, Vol 115, pp 98-112, issn 0272-7714, 15 p.Article

Phytoplankton and the balance of nature: An opinionGOWEN, Richard J; TETT, Paul; SMAYDA, Theodore J et al.Estuarine, coastal and shelf science (Print). 2012, Vol 113, pp 317-323, issn 0272-7714, 7 p.Article

Genome diversity in the smallest marine photosynthetic eukaryotesPIGANEAU, Gwenael; GRIMSLEY, Nigel; MOREAU, Herve et al.Research in microbiology (Paris). 2011, Vol 162, Num 6, pp 570-577, issn 0923-2508, 8 p.Article

Descriptive and prediction models of phytoplankton in the northern AdriaticVOLF, Goran; ATANASOVA, Natasa; KOMPARE, Boris et al.Ecological modelling. 2011, Vol 222, Num 14, pp 2502-2511, issn 0304-3800, 10 p.Conference Paper

The northern Baltic Sea phytoplankton communities in 1903―1911 and 1993―2005: a comparison of historical and modern species dataHÄLLFORS, Heidi; BACKER, Hermanni; LEPPÄNEN, Juha-Markku et al.Hydrobiologia (The Hague). 2013, Vol 707, pp 109-133, issn 0018-8158, 25 p.Article

Quantifying absorption by aquatic particles : a multiple scattering correction for glass-fiber filtersCLEVELAND, J. S; WEIDEMANN, A. D.Limnology and oceanography. 1993, Vol 38, Num 6, pp 1321-1327, issn 0024-3590Article

Optimizing biodiversity prediction from abiotic parametersTAMVAKIS, Androniki; TRYGONIS, Vasilis; MIRITZIS, John et al.Environmental modelling & software. 2014, Vol 53, pp 112-120, issn 1364-8152, 9 p.Article

Warming does not always benefit the small ― Results from a plankton experimentRÜGER, Theresa; SOMMER, Ulrich.Aquatic botany. 2012, Vol 97, Num 1, pp 64-68, issn 0304-3770, 5 p.Article

Simultaneous measurements of oxygen and carbon dioxide fluxes to assess productivity in phytoplankton culturesCORCORAN, Alina A; VAN VOORHIES, Wayne A.Journal of microbiological methods. 2012, Vol 91, Num 3, pp 377-379, issn 0167-7012, 3 p.Article

Quantitative comparison of photoacclimation models for marine phytoplanktonSMITH, S. Lan; YAMANAKA, Yasuhiro.Ecological modelling. 2007, Vol 201, Num 3-4, pp 547-552, issn 0304-3800, 6 p.Article

Nitrogen removal by phytoplankton uptake through a temperate non-turbid estuaryTORRES-VALDES, Sinhué; PURDIE, Duncan A.Estuarine, coastal and shelf science (Print). 2006, Vol 70, Num 3, pp 473-486, issn 0272-7714, 14 p.Article

Pulsed nutrient supply as a factor inducing phytoplankton diversityYAMAMOTO, Tamiji; HATTA, Gen.Ecological modelling. 2004, Vol 171, Num 3, pp 247-270, issn 0304-3800, 24 p.Article

THE THEORETICAL BASIS FOR ESTIMATING PHYTOPLANKTON PRODUCTION AND SPECIFIC GROWTH RATE FROM CHLOROPHYLL, LIGHT AND TEMPERATURE DATASMITH RA.1980; ECOL. MODEL.; NLD; DA. 1980; VOL. 10; NO 3-4; PP. 243-264; BIBL. 28 REF.Article

Marine phytoplankton motility sensor integrated into a microfluidic chip for high-throughput pollutant toxicity assessmentZHENG, Guo-Xia; LI, Ya-Jie; QI, Lin-Lin et al.Marine pollution bulletin. 2014, Vol 84, Num 1-2, pp 147-154, issn 0025-326X, 8 p.Article

An evaluation of the application of CHEMTAX to Antarctic coastal pigment dataKOZLOWSKI, Wendy A; DEUTSCHMAN, Douglas; GARIBOTTI, Irene et al.Deep-sea research. Part 1. Oceanographic research papers. 2011, Vol 58, Num 4, pp 350-364, issn 0967-0637, 15 p.Article

Application of automated model discovery from data and expert knowledge to a real-world domain : Lake GlumsØATANASOVA, Natasa; TODOROVSKI, Ljupco; DZEROSKI, Saso et al.Ecological modelling. 2008, Vol 212, Num 1-2, pp 92-98, issn 0304-3800, 7 p.Conference Paper

Immersed in situ microcosms : A tool for the assessment of pollution impact on phytoplanktonDE LA BROISE, Denis; PALENIK, Brian.Journal of experimental marine biology and ecology. 2007, Vol 341, Num 2, pp 274-281, issn 0022-0981, 8 p.Article

Persistence of phytoplankton responses to different Si:N ratios under mesozooplankton grazing pressure: a mesocosm study with NE Atlantic planktonSOMMER, Ulrich; HANSEN, Thomas; STIBOR, Herwig et al.Marine ecology. Progress series (Halstenbek). 2004, Vol 278, pp 67-75, issn 0171-8630, 9 p.Article

Development and application of tidal creek ecosystem modelsBUZZELLI, Christopher.Ecological modelling. 2008, Vol 210, Num 1-2, pp 127-143, issn 0304-3800, 17 p.Article

Resource limitation alters the 3/4 size scaling of metabolic rates in phytoplankton : Emergent properties of complex marine systems: a macroecological perspectiveFINKEL, Zoe V; IRWIN, Andrew J; SCHOFIELD, Oscar et al.Marine ecology. Progress series (Halstenbek). 2004, Vol 273, pp 269-279, issn 0171-8630, 11 p.Article

Ecological characteristics of plankton and aquatic vegetation in Lake QiluhuHU MINGMING; ZHOU HUAIDONG; WANG YUCHUN et al.Water science and technology. 2014, Vol 69, Num 8, pp 1620-1625, issn 0273-1223, 6 p.Article

Coexistence mechanisms and the paradox of the plankton: quantifying selection from noisy dataFOX, Jeremy W; NELSON, William A; MCCAULEY, Edward et al.Ecology (Durham). 2010, Vol 91, Num 6, pp 1774-1786, issn 0012-9658, 13 p.Article

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