Plymouth Marine Science Electronic Archive (PlyMSEA)
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Plymouth Marine Science Electronic Archive (PlyMSEA)
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Medlin, LK, García-Portela, M, Rossignoli, AE and Reguera, B 2024 A biosensor monitoring approach for toxic algae: Construction of calibration curves to infer cell numbers in field material. Harmful Algae, 138. https://doi.org/10.1016/j.hal.2024.102697
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McNamee, SE, Medlin, LK, Kegel, JU, McCoy, GR, Raine, R, Barra, L, Ruggiero, MV, Kooistra, WHCF, Montresor, M, Hagstrom, J, Blanco, EP, Graneli, E, Rodriguez, R, Esclaera, L, Reguera, B, Dittami, S, Edvardsen, B, Taylor, J, Lewis, JM, Pazos, Y, Elliott, CT and Campbell, K 2016 Distribution, occurrence and biotoxin composition of the main shellfish toxin producing microalgae within European waters: A comparison of methods of analysis.. Harmful Algae, 55. 112-120. https://doi.org/10.1016/j.hal.2016.02.008
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Culverhouse, PB, Williams, R, Simpson, RG, Gallienne, CP, Reguera, B, Cabrini, M, Parisini, T, Pazos, Y, Wang, H, Escalera, L, Morono, A, Hensey, M, Silke, J, Pellegrino, A, Thomas, D, James, D, Longa, J, Kennedy, S and del Punta, G 2006 HAB Buoy: a new instrument for in situ monitoring and early warning of harmful algal bloom events. African Journal of Marine Science [formerly called: South African Journal of Marine Science (1983-2003)] (28). 245 - 250. https://doi.org/10.2989/18142320609504156
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Culverhouse, PF, Williams, R, Reguera, B, Herry, V and Gonzalez-Gil, S 2003 Do experts make mistakes? A comparison of human and machine identification of dinoflagellates. Marine Ecology Progress Series, 247. 17 - 25. https://doi.org/10.3354/meps247017
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Culverhouse, PF, Herry, V, Ellis, R, Williams, R, Reguera, B, Gonzalez-Gil, S, Umani, SF, Cabrini, M and Parisini, T 2002 Dinoflagellate categorisation by artificial neural network. Sea Technology, 43 (12). 39 - 46.
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McCall, H, Bravo, I, Lindley, JA and Reguera, B 1996 Phytoplankton recognition using parametric discriminants. Journal of Plankton Research, 18 (3). 393 - 410. https://doi.org/10.1093/plankt/18.3.393
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Culverhouse, PF, Simpson, RG, Ellis, R, Lindley, JA, Williams, R, Parsini, T, Reguera, B, Bravo, I, Zoppoli, R, Earnshaw, G, McCall, H and Smith, GC 1996 Automatic classification of field-collected dinoflagellates by artificial neural network. Marine Ecology Progress Series, 139 (1-3). 281-287. https://doi.org/10.3354/meps139281
