1. #hotosm-project-2709 #Peru #PeruFloods2017 #osmpe Imagery donated by #spacedat.com via #Mapbox. Adding buildings.

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    #47121830 41 0 0 0

  2. #hotosm-project-2709 #Peru #PeruFloods2017 #osmpe Imagery donated by #spacedat.com via #Mapbox. Adding buildings.

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    #47121207 568 0 0 0

  3. #hotosm-project-2709 #Peru #PeruFloods2017 #osmpe Imagery donated by #spacedat.com via #Mapbox. Adding buildings.

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    #47120320 406 2 0 0

  4. #bucaramanga_landise_tag_correction

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    #47034297 12 43 9 0

  5. #maproulette Add_missing_Wikipedia_and_Wikidata_for_Railway_Stations_in_India

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    #47006993 1 8 20 0

  6. #hotosm-project-2662 #MissingMaps #EliminateMalaria #VisualizeNoMalaria #Zambia

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  7. #hotosm-project-2662 #MissingMaps #EliminateMalaria #VisualizeNoMalaria #Zambia

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  8. #hotosm-project-2665 #redcross #CycloneEnawo #DigitalGlobe source=GeoEye1, DigitalGlobe, 11 March 2017

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  9. #hotosm-project-2665 #redcross #CycloneEnawo #DigitalGlobe source=GeoEye1, DigitalGlobe, 11 March 2017

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  10. #hotosm-project-2665 #redcross #CycloneEnawo #DigitalGlobe source=GeoEye1, DigitalGlobe, 11 March 2017

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  11. #hotosm-project-2665 #redcross #CycloneEnawo #DigitalGlobe source=GeoEye1, DigitalGlobe, 11 March 2017

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    #46931008 675 13 5 0

  12. #hotosm-project-2665 #redcross #CycloneEnawo #DigitalGlobe source=GeoEye1, DigitalGlobe, 11 March 2017

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    #46930612 170 0 0 0

  13. #maproulette Ways_with_a_single_node_(Rest_of_the_World)

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  14. #maproulette Ways_with_a_single_node_(Rest_of_the_World)

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  15. #maproulette Ways_with_a_single_node_(Rest_of_the_World)

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  16. #maproulette Self-intersecting_multipolygon_relations_(India)

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    #46908639 7 85 11 0

  17. #maproulette Self-intersecting_multipolygon_relations_(India)

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  18. #maproulette Self-intersecting_multipolygon_relations_(India)

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  19. #maproulette Self-intersecting_multipolygon_relations_(India)

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    #46908425 26 175 16 0

  20. #maproulette Self-intersecting_multipolygon_relations_(India)

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    #46908324 48 0 31 0