Multispecies deep learning using citizen science data produces more informative plant community models.

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Title: Multispecies deep learning using citizen science data produces more informative plant community models.
Authors: Brun P; Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland. philipp.brun@wsl.ch., Karger DN; Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland., Zurell D; Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany., Descombes P; Muséum cantonal des sciences naturelles, département de botanique, 1007, Lausanne, Switzerland.; Department of Ecology and Evolution, University of Lausanne, 1015, Lausanne, Switzerland., de Witte LC; Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland., de Lutio R; EcoVision Lab, Photogrammetry and Remote Sensing, ETH Zurich, 8092, Zürich, Switzerland., Wegner JD; Department of Mathematical Modeling and Machine Learning, University of Zurich, 8057, Zurich, Switzerland., Zimmermann NE; Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland.
Source: Nature communications [Nat Commun] 2024 May 24; Vol. 15 (1), pp. 4421. Date of Electronic Publication: 2024 May 24.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
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  Data: <searchLink fieldCode="AU" term="%22Brun+P%22">Brun P</searchLink>; Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland. philipp.brun@wsl.ch.<br /><searchLink fieldCode="AU" term="%22Karger+DN%22">Karger DN</searchLink>; Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland.<br /><searchLink fieldCode="AU" term="%22Zurell+D%22">Zurell D</searchLink>; Institute of Biochemistry and Biology, University of Potsdam, 14469, Potsdam, Germany.<br /><searchLink fieldCode="AU" term="%22Descombes+P%22">Descombes P</searchLink>; Muséum cantonal des sciences naturelles, département de botanique, 1007, Lausanne, Switzerland.; Department of Ecology and Evolution, University of Lausanne, 1015, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22de+Witte+LC%22">de Witte LC</searchLink>; Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland.<br /><searchLink fieldCode="AU" term="%22de+Lutio+R%22">de Lutio R</searchLink>; EcoVision Lab, Photogrammetry and Remote Sensing, ETH Zurich, 8092, Zürich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Wegner+JD%22">Wegner JD</searchLink>; Department of Mathematical Modeling and Machine Learning, University of Zurich, 8057, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Zimmermann+NE%22">Zimmermann NE</searchLink>; Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland.
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  Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2024 May 24; Vol. 15 (1), pp. 4421. <i>Date of Electronic Publication: </i>2024 May 24.
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