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Monitoring benthic plumes, sediment redeposition and seafloor imprints caused by deep-sea polymetallic nodule mining. <i>Nature Comm. 16(1)</i>: 1229. <a href=\"https://dx.doi.org/10.1038/s41467-025-56311-0\" target=\"_blank\">https://dx.doi.org/10.1038/s41467-025-56311-0</a>","AutID":184132,"MonDate":null,"AnaDate":2025,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":418702,"RR":"<b>Vedenin, A.; Kröncke, I.; Weiss, T.; Nolte, G.; Keller, M.; Beck, A.J.; Esposito, M.; Greinert, J.</b> (2025). Sea-dumped munitions in the Baltic Sea support high epifauna abundance and diversity. <i>Commun. Earth Environ. 6(1)</i>: 749. <a href=\"https://dx.doi.org/10.1038/s43247-025-02593-7\" target=\"_blank\">https://dx.doi.org/10.1038/s43247-025-02593-7</a>","AutID":135347,"MonDate":null,"AnaDate":2025,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":369434,"RR":"<b>Vedenin, A.A.; Kröncke, I.; Beck, A.J.; Bodenbinder, A.; Chrysagi, E.; Gräwe, U.; Kampmeier, M.; Greinert, J.</b> (2024). Spatial structure and biodiversity of macrofauna around marine munition dumpsites – A case study from the Baltic Sea. <i>Mar. Pollut. Bull. 198</i>: 115865. <a href=\"https://dx.doi.org/10.1016/j.marpolbul.2023.115865\" target=\"_blank\">https://dx.doi.org/10.1016/j.marpolbul.2023.115865</a>","AutID":135347,"MonDate":null,"AnaDate":2024,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":367649,"RR":"<b>Urban, P.; Veloso-Alarcón, M.E.; Greinert, J.</b> (2023). Echo grid integration: a novel method for preprocessing multibeam water column data to quantify underwater gas bubble emissions. <i>Limnol. Oceanogr., Methods 21(7)</i>: 377-400. <a href=\"https://dx.doi.org/10.1002/lom3.10552\" target=\"_blank\">https://dx.doi.org/10.1002/lom3.10552</a>","AutID":77363,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":353354,"RR":"<b>Haalboom, S.; Schoening, T.; Urbanus, P.; Gazis, I.-Z.; De Stigter, H.; Gillard, B.; Baeye, M.; Hollstein, M.; Purkiani, K.; Reichart, G.-J.; Thomsen, L.; Haeckel, M.; Vink, A.; Greinert, J.</b> (2022). Monitoring of anthropogenic sediment plumes in the Clarion-Clipperton Zone, NE Equatorial Pacific Ocean. <i>Front. Mar. Sci. 9</i>: 882155. <a href=\"https://dx.doi.org/10.3389/fmars.2022.882155\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2022.882155</a>","AutID":77363,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":355477,"RR":"<b>Mbani, B.; Schoening, T.; Gazis, I.-Z.; Koch, R.; Greinert, J.</b> (2022). Implementation of an automated workflow for image-based seafloor classification with examples from manganese-nodule covered seabed areas in the Central Pacific Ocean. <i>NPG Scientific Reports 12(1)</i>: 15338. <a href=\"https://dx.doi.org/10.1038/s41598-022-19070-2\" target=\"_blank\">https://dx.doi.org/10.1038/s41598-022-19070-2</a>","AutID":77363,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"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>","AutID":77363,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":391294,"RR":"<b>She, M.K.; Weiss, T.; Song, Y.F.; Urban, P.; Greinert, J.; Koeser, K.</b> (2022). Marine bubble flow quantification using wide-baseline stereo photogrammetry. <i>Isprs Journal of Photogrammetry and Remote Sensing 190</i>: 322-341. <a href=\"https://dx.doi.org/10.1016/j.isprsjprs.2022.06.014\" target=\"_blank\">https://dx.doi.org/10.1016/j.isprsjprs.2022.06.014</a>","AutID":560802,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":361793,"RR":"<b>Veloso-Alarcón, M.E.; Urban, P.; Weiss, T.; Köser, K.; She, M.; Greinert, J.</b> (2022). Quantitatively monitoring bubble-flow at a seep site offshore Oregon: field trials and methodological advances for parallel optical and hydroacoustical measurements. <i>Front. Earth Sci. 10</i>: 858992. <a href=\"https://dx.doi.org/10.3389/feart.2022.858992\" target=\"_blank\">https://dx.doi.org/10.3389/feart.2022.858992</a>","AutID":77363,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":362286,"RR":"<b>Gazis, I.-Z.; Greinert, J.</b> (2021). Importance of spatial autocorrelation in machine learning modeling of polymetallic nodules, model uncertainty and transferability at local scale. <i>Minerals 11(11)</i>: 1172. <a href=\"https://dx.doi.org/10.3390/min11111172\" target=\"_blank\">https://dx.doi.org/10.3390/min11111172</a>","AutID":77363,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":362908,"RR":"<b>Gausepohl, F.; Hennke, A.; Schoening, T.; Köser, K.; Greinert, J.</b> (2020). Scars in the abyss: reconstructing sequence, location and temporal change of the 78 plough tracks of the 1989 DISCOL deep-sea disturbance experiment in the Peru Basin. <i>Biogeosciences 17(6)</i>: 1463-1493. <a href=\"https://dx.doi.org/10.5194/bg-17-1463-2020\" target=\"_blank\">https://dx.doi.org/10.5194/bg-17-1463-2020</a>","AutID":77363,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337804,"RR":"<b>Schoening, T.; Purser, A.; Langenkämper, D.; Suck, I.; Taylor, J.; Cuvelier, D.; Lins, L.; Simon-Lledó, E.; Marcon, Y.; Jones, D.O.B.; Nattkemper, T.W.; Köser, K.; Zurowietz, M.; Greinert, J.; Gomes-Pereira, J.</b> (2020). Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison. <i>Biogeosciences 17(12)</i>: 3115-3133. <a href=\"https://hdl.handle.net/10.5194/bg-17-3115-2020\" target=\"_blank\">https://hdl.handle.net/10.5194/bg-17-3115-2020</a>","AutID":77363,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":363019,"RR":"<b>Drazen, J.C.; Leitner, A.B.; Morningstar, S.; Marcon, Y.; Greinert, J.; Purser, A.</b> (2019). Observations of deep-sea fishes and mobile scavengers from the abyssal DISCOL experimental mining area. <i>Biogeosciences 16(16)</i>: 3133-3146. <a href=\"https://dx.doi.org/10.5194/bg-16-3133-2019\" target=\"_blank\">https://dx.doi.org/10.5194/bg-16-3133-2019</a>","AutID":77363,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":311883,"RR":"<b>Simon-Lledó, E.; Bett, B.J.; Huvenne, V.A.I.; Köser, K.; Schoening, T.; Greinert, J.; Jones, D.O.B.</b> (2019). Biological effects 26 years after simulated deep-sea mining. <i>NPG Scientific Reports 9(1)</i>: 13 pp. <a href=\"https://dx.doi.org/10.1038/s41598-019-44492-w\" target=\"_blank\">https://dx.doi.org/10.1038/s41598-019-44492-w</a>","AutID":184132,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":310382,"RR":"<b>Veloso, M.; Greinert, J.; Mienert, J.; De Batist, M.</b> (2019). Corrigendum: A new methodology for quantifying bubble flow rates in deep water using splitbeam echosounders: Examples from the Arctic offshore NW-Svalbard. <i>Limnol. Oceanogr., Methods 17(2)</i>: 177-178. <a href=\"https://dx.doi.org/10.1002/lom3.10313\" target=\"_blank\">https://dx.doi.org/10.1002/lom3.10313</a>","AutID":373143,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":323013,"RR":"<b>Veloso‐Alarcón, M.E.; Janson, P.; De Batist, M.; Minshull, T.A.; Westbrook, G.K.; Pälike, H.; Bünz, S.; Wright, I.; Greinert, J.</b> (2019). Variability of acoustically evidenced methane bubble emissions offshore western Svalbard. <i>Geophys. Res. Lett. 46(15)</i>: 9072-9081. <a href=\"https://dx.doi.org/10.1029/2019GL082750\" target=\"_blank\">https://dx.doi.org/10.1029/2019GL082750</a>","AutID":77363,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":300123,"RR":"<b>Alevizos, E.; Snellen, M.; Simons, D.; Siemes, K.; Greinert, J.</b> (2018). Multi-angle backscatter classification and sub-bottom profiling for improved seafloor characterization. <i>Mar. Geophys. Res. 39(1-2)</i>: 289-306. <a href=\"https://dx.doi.org/10.1007/s11001-017-9325-4\" target=\"_blank\">https://dx.doi.org/10.1007/s11001-017-9325-4</a>","AutID":239592,"MonDate":null,"AnaDate":2018,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":347102,"RR":"<b>Beck, A.J.; Gledhill, M.; Schlosser, C.; Stamer, B.; Böttcher, C.; Sternheim, J.; Greinert, J.; Achterberg, E.P.</b> (2018). Spread, behavior, and ecosystem consequences of conventional munitions compounds in coastal marine waters. <i>Front. Mar. Sci. 5</i>: 141. <a href=\"https://dx.doi.org/10.3389/fmars.2018.00141\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2018.00141</a>","AutID":77363,"MonDate":null,"AnaDate":2018,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":311454,"RR":"<b>Gazis, I.-Z.; Schoening, T.; Alevizos, E.; Greinert, J.</b> (2018). Quantitative mapping and predictive modeling of Mn nodules' distribution from hydroacoustic and optical AUV data linked by random forests machine learning. <i>Biogeosciences 15(23)</i>: 7347-7377. <a href=\"https://dx.doi.org/10.5194/bg-15-7347-2018\" target=\"_blank\">https://dx.doi.org/10.5194/bg-15-7347-2018</a>","AutID":77363,"MonDate":null,"AnaDate":2018,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":363203,"RR":"<b>Peukert, A.; Schoening, T.; Alevizos, E.; Köser, K.; Kwasnitschka, T.; Greinert, J.</b> (2018). Understanding Mn-nodule distribution and evaluation of related deep-sea mining impacts using AUV-based hydroacoustic and optical data. <i>Biogeosciences 15(8)</i>: 2525-2549. <a href=\"https://dx.doi.org/10.5194/bg-15-2525-2018\" target=\"_blank\">https://dx.doi.org/10.5194/bg-15-2525-2018</a>","AutID":239592,"MonDate":null,"AnaDate":2018,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":283309,"RR":"<b>Jones, D.O.B.; Kaiser, S.; Sweetman, A.K.; Smith, C.R.; Menot, L.; Vink, A.; Trueblood, D.; Greinert, J.; Billett, D.S.M.; Martinez Arbizu, P.; Radziejewska, T.; Singh, R.; Ingole, B.; Stratmann, T.; Simon-Lledó, E.; Durden, J.M.; Clack, M.R.</b> (2017). Biological responses to disturbance from simulated deep-sea polymetallic nodulemining. <i>PLoS One 12(2)</i>: e0171750. <a href=\"http://dx.doi.org/10.1371/journal.pone.0171750\" target=\"_blank\">dx.doi.org/10.1371/journal.pone.0171750</a>","AutID":184132,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":286074,"RR":"<b>Pohlman, J.W.; Greinert, J.; Ruppel, C.; Silyakova, A.; Vielstädte, L.; Casso, M.; Mienert, J.; Bünz, S.</b> (2017). Enhanced CO<sub>2</sub> uptake at a shallow Arctic Ocean seep field overwhelms the positive warming potential of emitted methane. <i>Proc. Natl. Acad. Sci. U.S.A. 114(21)</i>: 5355-5360. <a href=\"https://dx.doi.org/10.1073/pnas.1618926114\" target=\"_blank\">https://dx.doi.org/10.1073/pnas.1618926114</a>","AutID":259129,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":290167,"RR":"<b>Schoening, T.; Jones, D.O.B.; Greinert , J.</b> (2017). Compact-morphology-based poly-metallic nodule delineation. <i>NPG Scientific Reports 7(1)</i>: 12 pp. <a href=\"https://dx.doi.org/10.1038/s41598-017-13335-x\" target=\"_blank\">https://dx.doi.org/10.1038/s41598-017-13335-x</a>","AutID":77363,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":336514,"RR":"<b>Urban, P.; Köser, K.; Greinert, J.</b> (2017). Processing of multibeam water column image data for automated bubble/seep detection and repeated mapping. <i>Limnol. Oceanogr., Methods 15(1)</i>: 1-21. <a href=\"https://dx.doi.org/10.1002/lom3.10138\" target=\"_blank\">https://dx.doi.org/10.1002/lom3.10138</a>","AutID":184132,"MonDate":null,"AnaDate":2017,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":262234,"RR":"<b>Gomes-Pereira, J.N.; Auger, V.; Beisiegel, K.; Benjamin, R.; Bergmann, M.; Bowden, D.; Buhl-Mortensen, P.; De Leo, F.C.; Dionísio, G.; Durden, J.M.; Edwards, L.; Friedman, A.; Greinert, J.; Jacobsen-Stout, N.; Lerner, S.; Leslie, M.; Nattkemper, T.W.; Sameoto, J.A.; Schoening, T.; Schouten, R.; Seager, J.; Singh, H.; Soubigou, O.; Tojeira, I.; van den Beld, I.; Dias, F.; Tempera, F.; Santos, R.S.</b> (2016). Current and future trends in marine image annotation software. <i>Prog. 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Geol. 370</i>: 31-42. <a href=\"http://dx.doi.org/10.1016/j.margeo.2015.10.007\" target=\"_blank\">http://dx.doi.org/10.1016/j.margeo.2015.10.007</a>","AutID":304697,"MonDate":null,"AnaDate":2015,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":245508,"RR":"<b>Hoekendijk, J.P.A.; de Vries, J.J.; van der Bolt, K.; Greinert, J.; Brasseur, S.; Camphuysen, K.C.J.; Aarts, G.</b> (2015). Estimating the spatial position of marine mammals based on digital camera recordings. <i>Ecol. Evol. 5(3)</i>: 578–589. <a href=\"http://dx.doi.org/10.1002/ece3.1353\" target=\"_blank\">dx.doi.org/10.1002/ece3.1353</a>","AutID":170334,"MonDate":null,"AnaDate":2015,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":246328,"RR":"<b>Steinle, L.; Graves, C.A.; Treude, T.; Ferré, B.; Biastoch, A.; Bussmann, I.; Berndt, C.; Krastel, S.; James, R.H.; Behrens, E.; Böning, C.W.; Greinert, J.; Sapart, C.-J.; Scheinert, M.; Sommer, S.; Lehmann, M.F.; Niemann, H.</b> (2015). 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