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Equine and Animal Cognition Reference Database

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Author Burch, J.W.; Layne, G.A.; Follmann, E.H.; Rexstad, E.A. url  doi
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  Title Evaluation of Wolf Density Estimation from Radiotelemetry Data Type Journal Article
  Year 2005 Publication Wildl Soc Bull Abbreviated Journal  
  Volume 33 Issue Pages  
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  Call Number Equine Behaviour @ team @ Burch2005 Serial 6477  
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Author Tooze, Z.J.; Harrington, F.H.; Fentress, J.C. url  doi
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  Title Individually distinct vocalizations in timber wolves, Canis lupus Type Journal Article
  Year 1990 Publication Anim Behav Abbreviated Journal  
  Volume 40 Issue Pages  
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  Call Number Equine Behaviour @ team @ Tooze1990 Serial 6468  
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Author Harrington, F.H. url  doi
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  Title Chorus howling by wolves: Acoustic structures, pack size and Beau Geste effect Type Journal Article
  Year 1989 Publication Bioacoustics Abbreviated Journal  
  Volume 2 Issue Pages  
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  Call Number Equine Behaviour @ team @ Harrington1989 Serial 6463  
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Author Harrington, F.H. url  doi
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  Title Aggressive howling in wolves Type Journal Article
  Year 1987 Publication Anim Behav Abbreviated Journal  
  Volume 35 Issue Pages  
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  Call Number Equine Behaviour @ team @ Harrington1987 Serial 6457  
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Author Harrington, F.H.; Mech, L.D. url  doi
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  Title An analysis of howling response parameters useful for wolf pack censusing Type Journal Article
  Year 1982 Publication J Wildl Manag Abbreviated Journal  
  Volume 46 Issue Pages  
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  Call Number Equine Behaviour @ team @ Harrington1982 Serial 6456  
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Author Harrington, F.H.; Mech, L.D. url  doi
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  Title Wolf howling and its role in territory maintenance Type Journal Article
  Year 1979 Publication Behaviour Abbreviated Journal  
  Volume 68 Issue Pages  
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  Call Number Equine Behaviour @ team @ Harrington1979 Serial 6455  
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Author Pimlott, D.H. openurl 
  Title The use of tape-recorded wolf howls to locate timber wolves Type Book Whole
  Year 1960 Publication Abbreviated Journal  
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  Publisher Twenty-second Midwest Wildlife Congress Place of Publication Toronto Editor  
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  Call Number Equine Behaviour @ team @ Pimlott1960 Serial 6454  
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Author Fritts, S.H.; Bangs, E.E.; Gore, J.F. url  doi
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  Title The relationship of wolf recovery to habitat conservation and biodiversity in the northwestern United States Type Journal Article
  Year 1994 Publication Landsc Urban Plan Abbreviated Journal  
  Volume 28 Issue Pages  
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  Call Number Equine Behaviour @ team @ Fritts1994 Serial 6453  
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Author Chapron, G.; Kaczensky, P.; Linnell, J.D.C.; Arx, M.; Huber, D.; Andrén, H. url  doi
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  Title Recovery of large carnivores in Europe's modern human-dominated landscapes Type Journal Article
  Year 2014 Publication Science Abbreviated Journal  
  Volume 346 Issue Pages  
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  Call Number Equine Behaviour @ team @ Chapron2014 Serial 6451  
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Author Bücheler, T.; Sieg, J.H. url  doi
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  Title Understanding Science 2.0: Crowdsourcing and Open Innovation in the Scientific Method Type Journal Article
  Year 2011 Publication Procedia Computer Science Abbreviated Journal Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11)  
  Volume 7 Issue Pages 327-329  
  Keywords Crowdsourcing; Open Innovation; Simulation; Agent-Based Modeling; Science 2.0; Citizen Science  
  Abstract 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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  Call Number Equine Behaviour @ team @ Serial 6434  
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