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                | Jul 20, 2020 - 
                            Guide d'annotation du projet MeDo
                         Adobe PDF - 22.4 KB - 
                                MD5: 4e0a5554600c9fa2aef40e70c342c2a5
                                
                        Figure 2 | 
| Jul 20, 2020 - 
                            Guide d'annotation du projet MeDo
                         PNG Image - 323.7 KB - 
                                MD5: 8cdb10dda3bbed08efacd0eeece8d540
                                
                        Figure 1a | 
| Jul 20, 2020 - 
                            Guide d'annotation du projet MeDo
                         PNG Image - 68.2 KB - 
                                MD5: a190b6cf86b36b036cd91b0a26bc207e
                                
                        Figure 1b | 
| Jul 20, 2020 - 
                            Guide d'annotation du projet MeDo
                         LaTeX - 43.0 KB - 
                                MD5: a8ad8e579c44f7e83f8b90db2e48e2bf
                                
                        Guide d'annotation du projet MeDo, version source au format LaTeX | 
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                        Jul 6, 2020
                         Megadata, Linked Data and Data Mining for Wastewater Networks MeDo project aims to use Web big data for learning about geometry and history of wastewater networks, by combining different data mining techniques and multiplying analysed sources. The improved knowledge will lead to... | 
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                        Jun 25, 2020Ivory Coast  (Côte d'Ivoire)
                         Research Observatory on Water and Society Interactions in the Abidjan district (ORIESA) (Côte d'Ivoire) The preservation of water resources and their quality, as well as universal access to drinking water and sanitation are major issues to contribute to the sustainability and res... | 
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                        Dec 16, 2019
                         The successive Paprika (2010-2013) and Preshine (2014-2018) projects, funded by the Agence Nationale de la Recherche - France, have installed and managed several hydrometerological stations in the Upper Solukhumbu district (Nepal), including the West and South Faces of Mount Ever... | 
| dBASE Table for ESRI Shapefile - 244 B - 
                                MD5: 2982de84acf356adfd0c424a06cfce1d
                                
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| Shape - 5.2 KB - 
                                MD5: ebff03dae293f43e59bd53e0eba7e388
                                
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| HTML - 9.9 KB - 
                                MD5: d8d714ce6230bef366ae84c117604f8b
                                
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