Leadership & Staff Danelle E. Cline Senior Software Engineer [javascript protected email address] Through her career at MBARI and previously at NASA Ames Research Center, she has worked on developing scientific instruments to study the atmosphere and the oceans. What she enjoys most about her work here at MBARI are the multi-disciplinary projects that stem from the diverse people here and the unique peer relationship between science and engineering. Patents Scholin, C.A., Massion, E.I., Wright, D.K., Cline, D.E., Mellinger, E.,Brown, M. 2001. Aquatic Autosampler Device. US Pat. No. 6187530.
Ryan, J. P., W. K. Oestreich, K. J. Benoit-Bird, C. M. Waluk, C. A. Rueda, D. E. Cline, Y. Zhang, T. Cheeseman, J. Calambokidis, J. A. Fahlbusch, J. Barkowski, A. H. Fleming, C. N. Turner Tomaszewicz, J. A. Santora, T. Margolina, J. E. Joseph, A. S. Friedlaender, and J. A. Goldbogen. 2025. Audible changes in marine trophic ecology: Baleen whale song tracks foraging conditions in the eastern North Pacific. PLOS ONE, 20(2). https://doi.org/10.1371/journal.pone.0318624
Ryan, J.P., J.E. Joseph, T. Margolina, L.T. Hatch, A. Azzara, A. Reyes, B.L. Southall, A. DeVogelaera, L.E. Peavey Reeves, Y. Zhang, D.E. Cline, B. Jones, P. McGill, S. Baumann-Pickering, and A.K. Stimpert. 2021. Reduction of low-frequency vessel noise in Monterey Bay National Marine Sanctuary during the COVID-19 pandemic. Frontiers in Marine Science, 8: 1–13. https://doi.org/10.3389/fmars.2021.656566
Aguzzi, J., D. Chatzievangelou, S. Marini, E. Fanelli, R. Danovaro, S. Flögel, N. Lebris, F. Juanes, F.C. De Leo, J. Del Rio, L. Thomsen, C. Costa, G. Riccobene, C. Tamburini, D. Lefevre, C. Gojak, P.M. Poulain, P. Favali, A. Griffa, A. Purser, D. Cline, D. Edgington, J. Navarro, S. Stefanni, S.L. D'Hondt, I.G. Priede, R. Rountree, and J.B. Company. 2019. New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems. Environmental Science & Technology, 53: 6616–6631. https://doi.org/10.1021/acs.est.9b00409
Ryan, J.P., D.E. Cline, J.E. Joseph, T. Margolina, J.A. Santora, R.M. Kudela, F.P. Chavez, J.T. Pennington, C. Wahl, R. Michisaki, K.J. Benoit-Bird, K.A. Forney, A.K. Stimpert, A. DeVogelaere, N. Black, and M. Fischer. 2019. Humpback whale song occurrence reflects ecosystem variability in feeding and migratory habitat of the northeast Pacific. PLoS ONE, 14: 1–24. https://doi.org/10.1371/journal.pone.0222456
Ryan, J., D. Cline, C. Dawe, P. McGill, Y. Zhang, J. Joseph, T. Margolina, M. Caillat, M. Fischer, A. DeVogelaere, A. Stimpert, and B. Southall. 2016. New passive acoustic monitoring in Monterey Bay National Marine Sanctuary: Exploring natural and anthropogenic sounds in a deep soundscape. Marine Technology Society / Institute of Electrical and Electronics Engineers Oceans Conference, Monterey, 19–23 September 2016.
Ruhl, H.A., J.M. Durden, D. Jones, T. Schoening, T.W. Nattkemper, D. Cline, and D. Edgington. 2016. Computer vision and machine learning needs for research in biological oceanography. 2nd Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI 2016), Cancun, 4 December 2016.
Cline, D.E., and D.R. Edgington. 2015. A detection, tracking, and classification system for underwater images. . Visual observation and analysis of animal and insect behavior (VAIB), 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, 22 August 2010.
McCann, M., R. Schramm, D. Cline, R. J. Harvey, and J. Ryan. 2014. Using STOQS (The Spatial Temporal Oceanographic Query System) to manage, visualize, and understand AUV, glider, and mooring data. 2014 IEEE/OES Autonomous Underwater Vehicles (AUV), Oxford, Massachusetts, October 2014, 1–10. Massachusetts: IEEE. http://dx.doi.org/10.1109/auv.2014.7054414
Shortis, M.R., M. Ravanbakskh, F. Shaifat, E.S. Harvey, A. Mian, J.W. Seager, P.F. Culverhouse, D.E. Cline, and D.R. Edgington. 2013. A review of techniques for the identification and measurement of fish in underwater stereo-video image sequences. Proceedings of SPIE 8791, Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection, 8791G, 8791: 1–10. http://dx.doi.org/10.1117/12.2020941
Bernstein, M., R. Graham, D. Cline, J.M. Dolan, and K. Rajan. 2013. Learning-based event response for marine robotics. Proceedings of the Institute of Electrical and Electronics Engineers/Robotic Society of Japan International Conference on Intelligent Robots and Systems, 2013: 3362–2267. http://dx.doi.org/10.1109/IROS.2013.6696835
Gomes, K., D. Cline, D. Edgington, M. Godin, T. Maughan, M. McCann, T. O'Reilly, F. Bahr, F. Chavez, M. Messié, J. Das, and K. Rajan. 2013. ODSS: A decision support system for ocean exploration. Proceedings of the Workshop on Data-Driven Decision Guidance and Support Systems (DGSS), 29th Institute of Electrical and Electronics Engineers International Conference on Data Engineering 2013, Brisbane, QLD, Australia, 8–12 April 2013.
Cline, D., D.R. Edgington, K.L. Smith, M.F. Vardaro, and L. Kuhnz. 2009. An automated event detection and classification system for abyssal time-series images of Station M. Proceedings of the Marine Technology Society/Institute of Electrical and Electronics Engineers Oceans Conference.
Cline, D., D.R. Edgington, and J. Mariette. 2007. An automated visual event detection system for cabled observatory video. Proceedings of the Marine Technology Society / Institute of Electrical and Electronics Engineers Oceans Conference.
Edgington, D.R., D. Cline, J. Mariette, and I. Kerkez. 2007. Detecting and tracking events automatically in underwater video. ASLO Aquatic Sciences Meeting.
Edgington, D.R., D. Cline, D. Davis, I. Kerkez, and J. Mariette. 2006. Detecting, tracking, and classifying animals in underwater video. Proceedings of the Marine Technology Society / Institute of Electrical and Electronics Engineers Oceans Conference.
Edgington, D.R., I. Kerkez, D. Oliver, D. Cline, R.E. Sherlock, B.H. Robison, L. Kuhnz, M.A. Ranzato, and P. Perona. 2006. Detecting, tracking and classifying animals in underwater video. Ocean Sciences Meeting.
Edgington, D.R., I. Kerkez, D. Oliver, D. Cline, R.E. Sherlock, B.H. Robison, L. Kuhnz, D. Walther, M.A. Ranzato, and P. Perona. 2005. Detection and classification of selected midwater and benthic organisms in underwater video. Proceedings of the International Ocean Research Conference.
Edgington, D.R., D. Oliver, D. Cline, R.E. Sherlock, B.H. Robison, M.A. Ranzato, and P. Perona. 2005. Automated annotation of midwater video transects: Taking a look at the distribution of Poeobius meseres in Monterey Bay during and after an El Niño. ASLO Summer Meeting.
Edgington, D.R., I. Kerkez, D. Cline, D. Oliver, M.A. Ranzato, and P. Perona. 2005. Detecting and tracking animals in underwater video. Proceedings of the Institute of Electrical and Electronics Engineers International Conference on Computer Vision and Pattern Recognition.
Edgington, D.R., I. Kerkez, D. Oliver, D. Cline, L. Kuhnz, D. Walther, M.A. Ranzato, and P. Perona. 2005. Detection and classification of Rathbunaster Californicus in underwater video. AGU Joint Assembly meeting.
Edgington, D.R., I. Kerkez, D. Oliver, L. Kuhnz, D. Cline, D. Walther, and L. Itti. 2004. Detecting benthic megafauna in underwater video. EOS: Transactions, American Geophysical Union, 85: F1086.
Edgington, D.R., D. Walther, D.E. Cline, R. Sherlock, and C. Koch. 2004. Detecting and tracking animals in underwater video using a neuromorphic saliency-based attention system. American Society of Limnology and Oceanography Summer Meeting: 20.
Edgington, D.R., D. Walther, D.E. Cline, R. Sherlock, K. Salamy, A. Wilson, and C. Koch. 2004. Detecting and tracking animals in underwater video using a neuromorphic saliency-based attention system. American Society of Limnology and Oceanography/The Oceanography Society Ocean Research Conference: 44.
Brewer, P.G., J. Pasteris, G. Malby, E.T. Peltzer, S.N. White, J. Freeman, B. Wopenka, M. Brown, and D. Cline. 2002. Laser raman spectroscopy used to study the ocean at 3600-m depth. EOS, Transactions, American Geophysical Union, 83: 469–470.
Cline, D., T.C. O'Reilly, T. Meese, B. Roman, and D. Edgington. 2001. The Environmental Sample Processor (ESP) software design: Software for detection and quantification of microorganisms. MTS/IEEE Oceans 2001: An Ocean Odyssey: 287–294.
Scholin, C., G. Massion, E. Mellinger, M. Brown, D.K. Wright, and D. Cline. 1998. The development and application of molecular probes and novel instrumentation for detection of harmful algae. Ocean community conference '98, MTS, 1: 367–370.