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Echo grid integration: A novel method for preprocessing multibeam water column data to quantify underwater gas bubble emissions.
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- Limnology & Oceanography, Methods, 2023, v. 21, n. 7, p. 377, doi. 10.1002/lom3.10552
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- Article
Underwater UXO detection using magnetometry on hovering AUVs.
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- Journal of Field Robotics, 2023, v. 40, n. 4, p. 848, doi. 10.1002/rob.22159
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- Article
Analysis-ready optical underwater images of Manganese-nodule covered seafloor of the Clarion-Clipperton Zone.
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- Scientific Data, 2023, v. 10, n. 1, p. 1, doi. 10.1038/s41597-023-02245-5
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- Article
An automated image-based workflow for detecting megabenthic fauna in optical images with examples from the Clarion–Clipperton Zone.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-35518-5
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- Article
Implementation of an automated workflow for image-based seafloor classification with examples from manganese-nodule covered seabed areas in the Central Pacific Ocean.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-19070-2
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- Article
Implementation of an automated workflow for image-based seafloor classification with examples from manganese-nodule covered seabed areas in the Central Pacific Ocean.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-19070-2
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- Article
The role of heat wave events in the occurrence and persistence of thermal stratification in the southern North Sea.
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- Natural Hazards & Earth System Sciences, 2022, v. 22, n. 5, p. 1683, doi. 10.5194/nhess-22-1683-2022
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- Article
MOSES: A Novel Observation System to Monitor Dynamic Events across Earth Compartments.
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- Bulletin of the American Meteorological Society, 2022, v. 103, n. 2, p. E339, doi. 10.1175/BAMS-D-20-0158.1
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- Article
AUV Navigation Correction Based on Automated Multibeam Tile Matching.
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- Sensors (14248220), 2022, v. 22, n. 3, p. 954, doi. 10.3390/s22030954
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- Article
The role of heat wave events on the occurrence and persistence of thermal stratification in the southern North Sea.
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- Natural Hazards & Earth System Sciences Discussions, 2022, p. 1, doi. 10.5194/nhess-2021-392
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- Article
Importance of Spatial Autocorrelation in Machine Learning Modeling of Polymetallic Nodules, Model Uncertainty and Transferability at Local Scale.
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- Minerals (2075-163X), 2021, v. 11, n. 11, p. 1172, doi. 10.3390/min11111172
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- Article
Automated Activity Estimation of the Cold-Water Coral Lophelia pertusa by Multispectral Imaging and Computational Pixel Classification.
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- Journal of Atmospheric & Oceanic Technology, 2021, p. 141, doi. 10.1175/JTECH-D-19-0139.1
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- Article
Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison.
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- Biogeosciences, 2020, v. 17, n. 12, p. 3115, doi. 10.5194/bg-17-3115-2020
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- Article
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.
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- Biogeosciences, 2020, v. 17, n. 6, p. 1463, doi. 10.5194/bg-17-1463-2020
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- Article
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.
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- Biogeosciences Discussions, 2019, p. 1, doi. 10.5194/bg-2019-348
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- Article
Megafauna community assessment of polymetallic nodule fields with cameras: Platform and methodology comparison.
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- Biogeosciences Discussions, 2019, p. 1, doi. 10.5194/bg-2019-363
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- Article
Variability of Acoustically Evidenced Methane Bubble Emissions Offshore Western Svalbard.
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- Geophysical Research Letters, 2019, v. 46, n. 15, p. 9072, doi. 10.1029/2019GL082750
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- Article
Observations of deep-sea fishes and mobile scavengers from the abyssal DISCOL experimental mining area.
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- Biogeosciences, 2019, v. 16, n. 16, p. 3133, doi. 10.5194/bg-16-3133-2019
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- Article
Biological effects 26 years after simulated deep-sea mining.
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- Scientific Reports, 2019, v. 9, n. 1, p. N.PAG, doi. 10.1038/s41598-019-44492-w
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- Article
Observations of deep-sea fishes and mobile scavengers from the abyssal DISCOL experimental mining area.
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- Biogeosciences Discussions, 2019, p. 1, doi. 10.5194/bg-2019-51
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- Article
Quantitative mapping and predictive modeling of Mn nodules' distribution from hydroacoustic and optical AUV data linked by random forests machine learning.
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- Biogeosciences, 2018, v. 15, n. 23, p. 7347, doi. 10.5194/bg-15-7347-2018
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Quantitative mapping and predictive modelling of Mn-nodules' distribution from hydroacoustic and optical AUV data linked by Random Forests machine learning.
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- Biogeosciences Discussions, 2018, p. 1, doi. 10.5194/bg-2018-353
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- Article
Multi-angle backscatter classification and sub-bottom profiling for improved seafloor characterization.
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- Marine Geophysical Research, 2018, v. 39, n. 1/2, p. 289, doi. 10.1007/s11001-017-9325-4
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- Article
Understanding Mn-nodule distribution and evaluation of related deep-sea mining impacts using AUV-based hydroacoustic and optical data.
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- Biogeosciences, 2018, v. 15, n. 8, p. 2525, doi. 10.5194/bg-15-2525-2018
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- Article
Quantification of the fine-scale distribution of Mn-nodules: insights from AUV multi-beam and optical imagery data fusion.
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- Biogeosciences Discussions, 2018, p. 1, doi. 10.5194/bg-2018-60
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- Article
Understanding Mn-nodule distribution and related deep-sea mining impacts using AUV-based hydroacoustic sensing and optical observations.
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- Biogeosciences Discussions, 2017, p. 1, doi. 10.5194/bg-2017-506
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- Article
Biological responses to disturbance from simulated deep-sea polymetallic nodule mining.
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- PLoS ONE, 2017, v. 12, n. 2, p. 1, doi. 10.1371/journal.pone.0171750
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Processing of multibeam water column image data for automated bubble/seep detection and repeated mapping.
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- Limnology & Oceanography, Methods, 2017, v. 15, n. 1, p. 1, doi. 10.1002/lom3.10138
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- Article
A quantitative assessment of methane cycling in Hikurangi Margin sediments ( New Zealand) using geophysical imaging and biogeochemical modeling.
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- Geochemistry, Geophysics, Geosystems: G3, 2016, v. 17, n. 12, p. 4817, doi. 10.1002/2016GC006643
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Effects of climate change on methane emissions from seafloor sediments in the Arctic Ocean: A review.
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- Limnology & Oceanography, 2016, v. 61, p. S283, doi. 10.1002/lno.10307
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Dissolved methane in the Beaufort Sea and the Arctic Ocean, 1992-2009; sources and atmospheric flux.
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- Limnology & Oceanography, 2016, v. 61, p. S300, doi. 10.1002/lno.10457
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- Article
Turbulent high-latitude oceanic intrusions-details of non-smooth apparent isopycnal transport West of Svalbard.
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- Ocean Dynamics, 2016, v. 66, n. 6/7, p. 785, doi. 10.1007/s10236-016-0955-x
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- Article
DeepSurveyCam--A Deep Ocean Optical Mapping System.
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- Sensors (14248220), 2016, v. 16, n. 2, p. 164, doi. 10.3390/s16020164
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Water column methanotrophy controlled by a rapid oceanographic switch.
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- Nature Geoscience, 2015, v. 8, n. 5, p. 378, doi. 10.1038/ngeo2420
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Estimating the spatial position of marine mammals based on digital camera recordings.
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- Ecology & Evolution (20457758), 2015, v. 5, n. 3, p. 578, doi. 10.1002/ece3.1353
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Thermogenic methane injection via bubble transport into the upper Arctic Ocean from the hydrate-charged Vestnesa Ridge, Svalbard.
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- Geochemistry, Geophysics, Geosystems: G3, 2014, v. 15, n. 5, p. 1945, doi. 10.1002/2013GC005179
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Variability of internal frontal bore breaking above Opouawe Bank methane seep area (New Zealand).
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- Geochemistry, Geophysics, Geosystems: G3, 2013, v. 14, n. 7, p. 2460, doi. 10.1002/ggge.20170
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- Article
Ocean currents shape the microbiome of Arctic marine sediments.
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- ISME Journal: Multidisciplinary Journal of Microbial Ecology, 2013, v. 7, n. 4, p. 685, doi. 10.1038/ismej.2012.143
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- Article
Atmospheric methane flux from bubbling seeps: Spatially extrapolated quantification from a Black Sea shelf area.
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- Journal of Geophysical Research. Oceans, 2010, v. 115, n. C1, p. n/a, doi. 10.1029/2009JC005381
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Monitoring temporal variability of bubble release at seeps: The hydroacoustic swath system GasQuant.
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- Journal of Geophysical Research. Oceans, 2008, v. 113, n. C7, p. n/a, doi. 10.1029/2007JC004704
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Methanotrophic microbial communities associated with bubble plumes above gas seeps in the Black Sea.
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- Geochemistry, Geophysics, Geosystems: G3, 2006, v. 7, n. 4, p. n/a, doi. 10.1029/2005GC001049
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Stromatolitic fabric of authigenic carbonate crusts: result of anaerobic methane oxidation at cold seeps in 4,850 m water depth.
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- International Journal of Earth Sciences, 2002, v. 91, n. 4, p. 698, doi. 10.1007/s00531-001-0244-9
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- Article