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  "name": "treenetai",
            
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  "notes": "A Toolbox designed around neural networks for time series 
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  "notes": "A Toolbox designed around neural networks for time series 
            
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analysis of TreeNet data. The software containing the machine learning 
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analysis of TreeNet data. The software containing the machine learning 
            
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models is stored as a repository on GitHub 
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models is stored as a repository on GitHub 
            
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(https://github.com/treenet/treenetai) and licensed under GNU GENERAL 
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(https://github.com/treenet/treenetai) and licensed under GNU GENERAL 
            
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PUBLIC LICENSE version 3.\r\n\r\nTreeNet (treenet.info) is an 
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PUBLIC LICENSE version 3.\r\n\r\nTreeNet (treenet.info) is an 
            
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international monitoring and research network in which automated tree 
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international monitoring and research network in which automated tree 
            
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stem radius fluctuations measured with point dendrometers are analyzed 
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stem radius fluctuations measured with point dendrometers are analyzed 
            
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in terms of forest ecosystem responses to climate change. A continuous 
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in terms of forest ecosystem responses to climate change. A continuous 
            
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stream of microclimate and tree physiology data provides realtime 
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stream of microclimate and tree physiology data provides realtime 
            
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information on tree water relations and tree growth.\r\n\r\nTreeNet 
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information on tree water relations and tree growth.\r\n\r\nTreeNet 
            
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aims to link research results from carbon flux sites with dendrometer 
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aims to link research results from carbon flux sites with dendrometer 
            
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data to entire landscapes. Further it provides online-tools to its 
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data to entire landscapes. Further it provides online-tools to its 
            
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partners to automatically interpret stem radius fluctuations in terms 
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partners to automatically interpret stem radius fluctuations in terms 
            
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of tree water deficit, wood growth and related indicators for forest 
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of tree water deficit, wood growth and related indicators for forest 
            
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ecosystem carbon sink and drought stress.\r\n\r\nThe project was 
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ecosystem carbon sink and drought stress.\r\n\r\nThe project was 
            
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initiated by Roman Zweifel, WSL and Werner Eugster, ETHZ in 2009.",
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initiated by Roman Zweifel, WSL and Werner Eugster, ETHZ in 2009.",
            
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    "description": "TreeNet is an international monitoring and 
            
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research network in which automated tree stem radius fluctuations 
            
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measured with point dendrometers are analyzed in terms of forest 
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measured with point dendrometers are analyzed in terms of forest 
            
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ecosystem responses to climate change. A continuous stream of 
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ecosystem responses to climate change. A continuous stream of 
            
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microclimate and tree physiology data provides realtime information on 
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microclimate and tree physiology data provides realtime information on 
            
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entire landscapes. Further it provides online-tools to its partners to 
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entire landscapes. Further it provides online-tools to its partners to 
            
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automatically interpret stem radius fluctuations in terms of tree 
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automatically interpret stem radius fluctuations in terms of tree 
            
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water deficit, wood growth and related indicators for forest ecosystem 
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water deficit, wood growth and related indicators for forest ecosystem 
            
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carbon sink and drought stress.",
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carbon sink and drought stress.",
            
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(2022), Reconstructing radial stem size changes of trees with machine 
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(2022), Reconstructing radial stem size changes of trees with machine 
            
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learning, J. R. Soc. Interface, 1920220349. 
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learning, J. R. Soc. Interface, 1920220349. 
            
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http://doi.org/10.1098/rsif.2022.0349",
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      "name": "TREE WATER DEFICIT",
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  ],
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  ],
            
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  "title": "TreeNetAI",
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  "title": "TreeNetAI",
            
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  "type": "dataset",
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  "type": "dataset",
            
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}
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}