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Morgan, T.W.; Elliott, C.L. |
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Comparison of remotely-triggered cameras vs. howling surveys for estimating coyote (Canis latrans) Abundance in central Kentucky |
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2011 |
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J Ky Acad Science |
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Equine Behaviour @ team @ Morgan2011 |
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6492 |
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VSO Downloader. Copyright VSO Software SARL. VSO-Software SARL Bat A, 1er Etage,109 Avenue de Lespinet, 31400 Toulouse |
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Equine Behaviour @ team @ ref52 |
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6493 |
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4Free Video Converter. 4 Free Studio. Copyright© 2000~2015 4Free Video Converter Inc. a Multimedia Utility Company |
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Equine Behaviour @ team @ ref53 |
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6494 |
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Gazzola, A.; Avanzinelli, E.; Mauri, L.; Scandura, M.; Apollonio, M. |
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Temporal changes of howling in south European wolf packs |
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2002 |
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Ital J Zool |
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Equine Behaviour @ team @ Gazzola2002 |
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6495 |
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Boersma, P.; Weenink, D. |
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Praat: doing phonetics by computer |
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2009 |
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Equine Behaviour @ team @ Boersma2009 |
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6496 |
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Animal Acoustic Communication: Sound Analysis and Research Methods |
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1998 |
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Springer |
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Berlin |
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Equine Behaviour @ team @ ref56 |
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6497 |
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Horses' (Equus Caballus) Laterality, Stress Hormones, and Task Related Behavior in Innovative Problem-Solving |
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Equine Behaviour @ team @ ref3 |
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6572 |
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Suter, S.M.; Giordano, M.; Nietlispach, S.; Apollonio, M.; Passilongo, D. |
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Non-invasive acoustic detection of wolves |
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2016 |
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Bioacoustics |
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Bioacoustics |
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Monitoring wolves (Canis lupus) is a difficult and often expensive task due to high mobility,pack dynamic, shyness and nocturnal activity of this species. Wolves communicate acoustically trough howling, within pack and with packs of the neighbourhood. A wolf howl is a low frequency vocalization that can be transmitted over long distances and thus be used
for monitoring tasks. Animated howling survey is a current method to monitor wolves indifferent areas all over the world. Animated howling, however, may be invasive to residential wolf packs and could create possible negative reactions from local human population. Here we show that it is possible to detect wolves by recording spontaneous howling events. We measured the sound pressure level of wolf howls on captive individuals and we further found that simulated howling may be recorded and clearly identified up to a distance of 3 km. We finally conducted non-invasive acoustic detection of wolves in a free ranging population. The use of passive sound recorders may provide a powerful non-invasive tool for future wolf monitoring and thus help to established sustainable management plans for this species. |
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Equine Behaviour @ team @ |
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6500 |
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Author |
A. Wiggins; K. Crowston |
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Title |
From Conservation to Crowdsourcing: A Typology of Citizen Science |
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2011 |
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2011 44th Hawaii International Conference on System Sciences |
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2011 44th Hawaii International Conference on System Sciences |
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1-10 |
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groupware; natural sciences computing; research and development; social sciences; crowdsourcing; citizen science typology; research collaboration; scientific research projects; virtual collaboration; Communities; Education; Monitoring; Collaboration; Organizations; Biological system modeling; Production |
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Citizen science is a form of research collaboration involving members of the public in scientific research projects to address real-world problems. Often organized as a virtual collaboration, these projects are a type of open movement, with collective goals addressed through open participation in research tasks. Existing typologies of citizen science projects focus primarily on the structure of participation, paying little attention to the organizational and macrostructural properties that are important to designing and managing effective projects and technologies. By examining a variety of project characteristics, we identified five types-Action, Conservation, Investigation, Virtual, and Education- that differ in primary project goals and the importance of physical environment to participation. |
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2011 44th Hawaii International Conference on System Sciences |
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1530-1605 |
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Equine Behaviour @ team @ |
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6430 |
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Bücheler, T.; Sieg, J.H. |
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Understanding Science 2.0: Crowdsourcing and Open Innovation in the Scientific Method |
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2011 |
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Procedia Computer Science |
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Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11) |
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7 |
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327-329 |
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Crowdsourcing; Open Innovation; Simulation; Agent-Based Modeling; Science 2.0; Citizen Science |
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The innovation process is currently undergoing significant change in many industries. The World Wide Web has created a virtual world of collective intelligence and helped large groups of people connect and collaborate in the innovation process [1]. Von Hippel [2], for instance, states that a large number of users of a given technology will come up with innovative ideas. This process, originating in business, is now also being observed in science. Discussions around “Citizen Science” [3] and “Science 2.0” [4] suggest the same effects are relevant for fundamental research practices. “Crowdsourcing” [5] and “Open Innovation” [6] as well as other names for those paradigms, like Peer Production, Wikinomics, Swarm Intelligence etc., have become buzzwords in recent years. However, serious academic research efforts have also been started in many disciplines. In essence, these buzzwords all describe a form of collective intelligence that is enabled by new technologies, particularly internet connectivity. The focus of most current research on this topic is in the for-profit domain, i.e. organizations willing (and able) to pay large sums to source innovation externally, for instance through innovation contests. Our research is testing the applicability of Crowdsourcing and some techniques from Open Innovation to the scientific method and basic science in a non-profit environment (e.g., a traditional research university). If the tools are found to be useful, this may significantly change how some research tasks are conducted: While large, apriori unknown crowds of “irrational agents” (i.e. humans) are used to support scientists (and teams thereof) in several research tasks through the internet, the usefulness and robustness of these interactions as well as scientifically important factors like quality and validity of research results are tested in a systematic manner. The research is highly interdisciplinary and is done in collaboration with scientists from sociology, psychology, management science, economics, computer science, and artificial intelligence. After a pre-study, extensive data collection has been conducted and the data is currently being analyzed. The paper presents ideas and hypotheses and opens the discussion for further input. |
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1877-0509 |
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Equine Behaviour @ team @ |
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6434 |
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