1. The new world atlas of artificial night sky brightness by Fabio Falchi, Pierantonio Cinzano, Dan Duriscoe, Christopher C. M. Kyba, Christopher D. Elvidge, Kimberly Baugh, Boris A. Portnov, Nataliya A. Rybnikova, and Riccardo Furgoni Science Volume 2(6):e1600377 June 10, 2016 Published by AAAS

2. Fig. 1 Upward emission functions used to compute the maps. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

3. Fig. 2 World map of artificial sky brightness. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

4. Fig. 3 Map of North America’s artificial sky brightness, in twofold increasing steps, as a ratio to the natural sky brightness. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

5. Fig. 4 Map of South America’s artificial sky brightness, in twofold increasing steps, as a ratio to the natural sky brightness. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

6. Fig. 5 Maps of Europe’s artificial sky brightness, in twofold increasing steps, as a ratio to the natural sky brightness (assumed to be 174 μcd/m2). Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

7. Fig. 6 Map of Africa’s artificial sky brightness, in twofold increasing steps, as a ratio to the natural sky brightness. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

8. Fig. 7 Map of Asia’s artificial sky brightness, in twofold increasing steps, as a ratio to the natural sky brightness. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

9. Fig. 8 Map of artificial sky brightness for Australia, Indonesia, and New Zealand, in twofold increasing steps, as a ratio to the natural sky brightness. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

10. Fig. 9 Places on Earth farthest from pristine skies and unpolluted zenith skies. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

11. Fig. 10 Map of light pollution’s visual impact on the night sky. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

12. Fig. 11 G20 countries sorted by population exposed to light pollution. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

13. Fig. 12 G20 countries sorted by polluted area. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

14. Fig. 13 The 20 least polluted countries. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

15. Fig. 14 The 20 most polluted countries. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

16. Fig. 15 VIIRS DNB sensitivity. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

17. Fig. 16 Comparisons between sky brightness observations and atlas predictions. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

18. Fig. 17 Contour plots comparing the weighted number of SQM observations to the predictions of the atlas. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

19. Fig. 18 Histograms showing the residuals (observed minus predicted SQM values) for the whole data set and for each of the different data providers. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS

20. Fig. 19 Comparisons between sky brightness NPS CCD observations and atlas predictions. Fabio Falchi et al. Sci Adv 2016;2:e1600377 Published by AAAS