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A review on bio- and chemosensors for the detection of biogenic amines in food safety applications: The status in 2022. <i>Sensors 23(2)</i>: 613. <a href=\"https://dx.doi.org/10.3390/s23020613\" target=\"_blank\">https://dx.doi.org/10.3390/s23020613</a>","StandardTitle":"A review on bio- and chemosensors for the detection of biogenic amines in food safety applications: The status in 2022","AuthorsString":"Givanoudi, S. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":363007,"RR":"<b>Sathyendranath, S.; Brewin, R.J.W.; Brockmann, C.; Brotas, V.; Calton, B.; Chuprin, A.; Cipollini, P.; Couto, A.B.; Dingle, J.; Doerffer, R.; Donlon, C.; Dowell, M.; Farman, A.; Grant, M.; Groom, S.; Horseman, A.; Jackson, T.; Krasemann, H.; Lavender, S.; Martinez-Vicente, V.; Mazeran, C.; Mélin, F.; Moore, T.S.; Müller, D.; Regner, P.; Roy, S.; Steele, C.J.; Steinmetz, F.; Swinton, J.; Taberner, M.; Thompson, A.; Valente, A.; Zühlke, M.; Brando, V.E.; Feng, H.; Feldman, G.; Franz, B.A.; Frouin, R.; Gould, R.W.; Hooker, S.B.; Kahru, M.; Kratzer, S.; Mitchell, B.G.; Müller-Karger, F.E.; Sosik, H.M.; Voss, K.J.; Werdell, J.; Platt, T.</b> (2019). An ocean-colour time series for use in climate studies: the zxperience of the Ocean-Colour Climate Change Initiative (OC-CCI). <i>Sensors 19(19)</i>: 4285. <a href=\"https://dx.doi.org/10.3390/s19194285\" target=\"_blank\">https://dx.doi.org/10.3390/s19194285</a>","StandardTitle":"An ocean-colour time series for use in climate studies: the zxperience of the Ocean-Colour Climate Change Initiative (OC-CCI)","AuthorsString":"Sathyendranath, S. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":323180,"RR":"<b>Foglini, F.; Grande, V.; Marchese, F.; Bracchi, V.A.; Prampolini, M.; Angeletti, L.; Castellan, G.; Chimienti, G.; Hansen, I.M.; Gudmundsen, M.; Meroni, A.N.; Mercorella, A.; Vertino, A.; Badalamenti, F.; Corselli, C.; Erdal, I.; Martorelli, E.; Savini, A.; Taviani, M.</b> (2019). Application of hyperspectral imaging to underwater habitat mapping, Southern Adriatic Sea. <i>Sensors 19(10)</i>: 2261. <a href=\"https://dx.doi.org/10.3390/s19102261\" target=\"_blank\">https://dx.doi.org/10.3390/s19102261</a>","StandardTitle":"Application of hyperspectral imaging to underwater habitat mapping, Southern Adriatic Sea","AuthorsString":"Foglini, F. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":311414,"RR":"<b>Hernandez, A.L.; Dortu, F.; Veenstra, T.; Ciaurriz, P.; Casquel, R.; Cornago, I.; Horsten, H.V.; Tellechea, E.; Maigler, M.V.; Fernández, F.; Holgado, M.</b> (2019). Automated chemical sensing unit integration for parallel optical interrogation. <i>Sensors 19(4)</i>: 878. <a href=\"https://dx.doi.org/10.3390/s19040878\" target=\"_blank\">https://dx.doi.org/10.3390/s19040878</a>","StandardTitle":"Automated chemical sensing unit integration for parallel optical interrogation","AuthorsString":"Hernandez, A.L. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":362180,"RR":"<b>Mohrmann, J.; Greinert, J.</b> (2022). AUV navigation correction based on automated multibeam tile matching. <i>Sensors 22(3)</i>: 954. <a href=\"https://dx.doi.org/10.3390/s22030954\" target=\"_blank\">https://dx.doi.org/10.3390/s22030954</a>","StandardTitle":"AUV navigation correction based on automated multibeam tile matching","AuthorsString":"Mohrmann, J.; Greinert, J.","BibLvlCode":"AS"},{"BRefID":363808,"RR":"<b>Jones, A.; Koehler, S.; Jerge, M.; Graves, M.; King, B.; Dalrymple, R.; Freese, C.; Von Albade, J.</b> (2023). BATMAN: A Brain-like approach for tracking maritime activity and nuance. <i>Sensors 23(5)</i>: 2424. <a href=\"https://dx.doi.org/10.3390/s23052424\" target=\"_blank\">https://dx.doi.org/10.3390/s23052424</a>","StandardTitle":"BATMAN: A Brain-like approach for tracking maritime activity and nuance","AuthorsString":"Jones, A. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":258306,"RR":"<b>Bardaji, R.; Sánchez, A.-M.; Simon, C.; Wernand, M.R.; Piera, J.</b> (2016). Estimating the Underwater Diffuse Attenuation Coefficient with a Low-Cost Instrument: The KdUINO DIY Buoy. <i>Sensors 16(3)</i>: 373. <a href=\"http://dx.doi.org/10.3390/s16030373 \" target=\"_blank\">dx.doi.org/10.3390/s16030373 </a>","StandardTitle":"Estimating the Underwater Diffuse Attenuation Coefficient with a Low-Cost Instrument: The KdUINO DIY Buoy","AuthorsString":"Bardaji, R. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":338066,"RR":"<b>Foucault, J.; Lesecq, S.; Dudnik, G.; Correvon, M.; O'Keeffe, R.; Di Palma, V.; Passoni, M.; Quaglia, F.; Ouvry, L.; Buckley, S.; Herveg, J.; di Matteo, A.; Rakotovao, T.; Debicki, O.; Mareau, N.; Barrett, J.; Rea, S.; McGibney, A.; Birot, F.; de Chaumont, H.; Banach, R.; Razavi, J.; O'Murchu, C.</b> (2019). INSPEX: optimize range sensors for environment perception as a portable system. <i>Sensors 19(19)</i>: 4350. <a href=\"https://hdl.handle.net/10.3390/s19194350\" target=\"_blank\">https://hdl.handle.net/10.3390/s19194350</a>","StandardTitle":"INSPEX: optimize range sensors for environment perception as a portable system","AuthorsString":"Foucault, J. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":325221,"RR":"<b>Schröder, S.-M.; Kiko, R.; Koch, R.</b> (2020). MorphoCluster: Efficient annotation of plankton images by clustering. <i>Sensors 20(11)</i>: 3060. <a href=\"https://dx.doi.org/10.3390/s20113060\" target=\"_blank\">https://dx.doi.org/10.3390/s20113060</a>","StandardTitle":"MorphoCluster: Efficient annotation of plankton images by clustering","AuthorsString":"Schröder, S.-M.; Kiko, R.; Koch, R.","BibLvlCode":"AS"},{"BRefID":352814,"RR":"<b>Fallais, D.J.M.; Henkel, M.; Noppe, N.; Weijtjens, W.; Devriendt, C.</b> (2022). Multilevel RTN removal tools for dynamic FBG strain measurements corrupted by peak-splitting artefacts. <i>Sensors 22(1)</i>: 92. <a href=\"https://dx.doi.org/10.3390/s22010092\" target=\"_blank\">https://dx.doi.org/10.3390/s22010092</a>","StandardTitle":"Multilevel RTN removal tools for dynamic FBG strain measurements corrupted by peak-splitting artefacts","AuthorsString":"Fallais, D.J.M. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":353163,"RR":"<b>Seferagić, A.; Haxhibeqiri, J.; Pilozzi, P.; Hoebeke, J.</b> (2021). Multimodal network architecture for shared situational awareness amongst vessels. <i>Sensors 21(19)</i>: 6556. <a href=\"https://dx.doi.org/10.3390/s21196556\" target=\"_blank\">https://dx.doi.org/10.3390/s21196556</a>","StandardTitle":"Multimodal network architecture for shared situational awareness amongst vessels","AuthorsString":"Seferagić, A. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":301558,"RR":"<b>van Haren, H.</b> (2018). Philosophy and application of high-resolution temperature sensors for stratified waters. <i>Sensors 18(10)</i>: 3184. <a href=\"https://doi.org/10.3390/s18103184\" target=\"_blank\">https://doi.org/10.3390/s18103184</a>","StandardTitle":"Philosophy and application of high-resolution temperature sensors for stratified waters","AuthorsString":"van Haren, H.","BibLvlCode":"AS"},{"BRefID":392421,"RR":"<b>Giugliano, R.; Cocciaro, B.; Poggialini, F.; Legnaioli, S.; Palleschi, V.; Locritani, M.; Merlino, S.</b> (2022). Rapid identification of beached marine plastics pellets using laser-induced breakdown spectroscopy: A promising tool for the quantification of coastal pollution. <i>Sensors 22(18)</i>: 6910. <a href=\"https://dx.doi.org/10.3390/s22186910\" target=\"_blank\">https://dx.doi.org/10.3390/s22186910</a>","StandardTitle":"Rapid identification of beached marine plastics pellets using laser-induced breakdown spectroscopy: A promising tool for the quantification of coastal pollution","AuthorsString":"Giugliano, R. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":361777,"RR":"<b>Wullenweber, N.; Hole, L.R.; Ghaffari, P.; Graves, I.; Tholo, H.; Camus, L.</b> (2022). SailBuoy ocean currents: low-cost upper-layer ocean current measurements. <i>Sensors 22(15)</i>: 5553. <a href=\"https://dx.doi.org/10.3390/s22155553\" target=\"_blank\">https://dx.doi.org/10.3390/s22155553</a>","StandardTitle":"SailBuoy ocean currents: low-cost upper-layer ocean current measurements","AuthorsString":"Wullenweber, N. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":382776,"RR":"<b>Gerlo, J.; Kooijman, D.G.; Wieling, I.W.; Heirmans, R.; Vanlanduit, S.</b> (2023). Seaweed growth monitoring with a low-cost vision-based system. <i>Sensors 23(22)</i>: 9197. <a href=\"https://dx.doi.org/10.3390/s23229197\" target=\"_blank\">https://dx.doi.org/10.3390/s23229197</a>","StandardTitle":"Seaweed growth monitoring with a low-cost vision-based system","AuthorsString":"Gerlo, J. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":231010,"RR":"<b>Garaba, S.P.; Schulz, J.; Wernand, M.R.; Zielinski, O.</b> (2012). Sunglint Detection for Unmanned and Automated Platforms. <i>Sensors 12(9)</i>: 12545-12561. <a href=\"http://dx.doi.org/10.3390/s120912545\" target=\"_blank\">dx.doi.org/10.3390/s120912545</a>","StandardTitle":"Sunglint Detection for Unmanned and Automated Platforms","AuthorsString":"Garaba, S.P. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":364378,"RR":"<b>Käkinen, A.; Bondarenko, O.; Ivask, A.; Kahru, A.</b> (2011). The Effect of Composition of Different Ecotoxicological Test Media on Free and Bioavailable Copper from CuSO4 and CuO Nanoparticles: Comparative Evidence from a Cu-Selective Electrode and a Cu-Biosensor. <i>Sensors 11(11)</i>: 10502-10521. <a href=\"https://dx.doi.org/10.3390/s111110502\" target=\"_blank\">https://dx.doi.org/10.3390/s111110502</a>","StandardTitle":"The Effect of Composition of Different Ecotoxicological Test Media on Free and Bioavailable Copper from CuSO4 and CuO Nanoparticles: Comparative Evidence from a Cu-Selective Electrode and a Cu-Biosensor","AuthorsString":"Käkinen, A. <i>et al.</i>","BibLvlCode":"AS"},{"BRefID":251903,"RR":"<b>van der Woerd, H.J.; Wernand, M.</b> (2015). True Colour Classification of Natural Waters with Medium-Spectral Resolution Satellites: SeaWiFS, MODIS, MERIS and OLCI. <i>Sensors 15(10)</i>: 25663-25680. <a href=\"http://dx.doi.org/10.3390/s151025663\" target=\"_blank\">dx.doi.org/10.3390/s151025663</a>","StandardTitle":"True Colour Classification of Natural Waters with Medium-Spectral Resolution Satellites: SeaWiFS, MODIS, MERIS and OLCI","AuthorsString":"van der Woerd, H.J.; Wernand, M.","BibLvlCode":"AS"}],"BEntOpen":232257,"BEntPrivate":null,"availability":null,"litstyles":null,"thespers":null,"arch2discl":805,"SERpubls":null,"MONpubls":null,"pictures":[],"thestermsPath":null,"thestermsASFA":null,"taxtermsASFA":null,"geotermsASFA":null,"collections":null,"conf":null,"proj":null,"Physdatasets":null,"spcols":{"805":{"SpName":"Koninklijk Nederlands Instituut voor Onderzoek der Zee","SpColID":805,"ParSpColID":null,"TopParID":null,"ShortName":"NIOZ","URLLocation":"https://www.vliz.be/imis/nioz/imis.php?refid=","LibID":2779,"OpenRepoFlag":1,"SpTypID":1,"TopParIDNotWebsite":null,"SpColPath":"NIOZ"}},"doi":null,"publs":[{"PublID":17584,"PublName":"MDPI","InsID":null,"PersID":null,"INBOID":null,"OrderNr":1}],"serparttypes":["A"],"monauthors":null,"MParts":null,"SParts":null,"hLibs":null,"langs":[{"BEntID":232257,"AbstractFlag":0,"LangID":15,"LangCode":"en","Lang":"English","DutchTerm":"Engels","LangCodeExtended":"eng"}],"urls":[{"URL":"https://doaj.org/toc/13cbd0d940a34d5dac14e251a1927783","externalID":null,"URLTypeCode":"DOAJ","URLID":127431,"URLTypID":48,"URLType":"DOAJ","URLPrefix":"https://doaj.org/"},{"URL":"www.mdpi.com/journal/sensors","externalID":null,"URLTypeCode":null,"URLID":35209,"URLTypID":null,"URLType":null,"URLPrefix":null},{"URL":"www.mdpi.com/journal/sensors","externalID":null,"URLTypeCode":null,"URLID":121737,"URLTypID":null,"URLType":null,"URLPrefix":null}],"thesterms":null,"taxterms":null,"geoterms":null,"othterms":null,"asfacodes":null,"asfa2codes":null,"thestermsFRIS":null,"taxtermsFRIS":null,"geotermsFRIS":null,"othtermsFRIS":null,"resmessage":"","complete":1,"sessions":{"newSesName":"Haspeslagh, Jan, J.","newSesDate":{"date":"2014-08-19 08:14:57.027000","timezone_type":3,"timezone":"Europe/Brussels"},"updSesName":"Bouchti, Zohra, Z.","updSesDate":{"date":"2024-01-08 13:37:49.063000","timezone_type":3,"timezone":"Europe/Brussels"}}}
