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Timm Schoening

Showing results (1-10 of 12) with videos related to

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Scientific Data|August 29, 2018
An acquisition, curation and management workflow for sustainable, terabyte-scale marine image analysisTimm Schoening, Kevin Köser, Jens Greinert
Scientific Reports|October 19, 2017
Compact-Morphology-based poly-metallic Nodule DelineationTimm Schoening, Daniel O B Jones, Jens Greinert
Scientific Reports|September 12, 2022
Implementation of an automated workflow for image-based seafloor classification with examples from manganese-nodule covered seabed areas in the Central Pacific OceanBenson Mbani, Timm Schoening, Iason-Zois Gazis, et al.
Hardwarex|September 13, 2023
PlasPi TDM: Augmentation of a low-cost camera platform for advanced underwater physical-ecological observationsCoffi Gérard Franck Zinzindohoué, Timm Schoening, Estanislau Baptista Lima, et al.
Plos One|June 22, 2012
Semi-automated image analysis for the assessment of megafaunal densities at the Arctic deep-sea observatory HAUSGARTENTimm Schoening, Melanie Bergmann, Jörg Ontrup, et al.
Optics Express|April 4, 2018
TuLUMIS - a tunable LED-based underwater multispectral imaging systemHongbo Liu, Jan Sticklus, Kevin Köser, et al.
Scientific Reports|May 31, 2019
Biological effects 26 years after simulated deep-sea miningErik Simon-Lledó, Brian J Bett, Veerle A I Huvenne, et al.
Limnology and Oceanography|October 11, 2019
Ecology of a polymetallic nodule occurrence gradient: Implications for deep-sea miningErik Simon-Lledó, Brian J Bett, Veerle A I Huvenne, et al.
Sensors (Basel, Switzerland)|February 2, 2016
DeepSurveyCam--A Deep Ocean Optical Mapping SystemTom Kwasnitschka, Kevin Köser, Jan Sticklus, et al.
Progress in Oceanography|January 22, 2019
Megafaunal variation in the abyssal landscape of the Clarion Clipperton ZoneErik Simon-Lledó, Brian J Bett, Veerle A I Huvenne, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Scientific Data|August 29, 2018
An acquisition, curation and management workflow for sustainable, terabyte-scale marine image analysisTimm Schoening, Kevin Köser, Jens Greinert
Scientific Reports|October 19, 2017
Compact-Morphology-based poly-metallic Nodule DelineationTimm Schoening, Daniel O B Jones, Jens Greinert
Scientific Reports|September 12, 2022
Implementation of an automated workflow for image-based seafloor classification with examples from manganese-nodule covered seabed areas in the Central Pacific OceanBenson Mbani, Timm Schoening, Iason-Zois Gazis, et al.
Hardwarex|September 13, 2023
PlasPi TDM: Augmentation of a low-cost camera platform for advanced underwater physical-ecological observationsCoffi Gérard Franck Zinzindohoué, Timm Schoening, Estanislau Baptista Lima, et al.
Plos One|June 22, 2012
Semi-automated image analysis for the assessment of megafaunal densities at the Arctic deep-sea observatory HAUSGARTENTimm Schoening, Melanie Bergmann, Jörg Ontrup, et al.
Optics Express|April 4, 2018
TuLUMIS - a tunable LED-based underwater multispectral imaging systemHongbo Liu, Jan Sticklus, Kevin Köser, et al.
Scientific Reports|May 31, 2019
Biological effects 26 years after simulated deep-sea miningErik Simon-Lledó, Brian J Bett, Veerle A I Huvenne, et al.
Limnology and Oceanography|October 11, 2019
Ecology of a polymetallic nodule occurrence gradient: Implications for deep-sea miningErik Simon-Lledó, Brian J Bett, Veerle A I Huvenne, et al.
Sensors (Basel, Switzerland)|February 2, 2016
DeepSurveyCam--A Deep Ocean Optical Mapping SystemTom Kwasnitschka, Kevin Köser, Jan Sticklus, et al.
Progress in Oceanography|January 22, 2019
Megafaunal variation in the abyssal landscape of the Clarion Clipperton ZoneErik Simon-Lledó, Brian J Bett, Veerle A I Huvenne, et al.
Pageof 2