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3. Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge

5. LepTraits 1.0 A globally comprehensive dataset of butterfly traits

6. Logistical and preference bias in participatory science butterfly data.

12. Species-specific ecological traits, phylogeny, and geography underpin vulnerability to population declines for North American birds.

13. Rising minimum temperatures contribute to 50 years of occupancy decline among cold‐adapted Arctic and boreal butterflies in North America.

14. Selection on size has generated distinctive paired wing flight systems for butterfly flight and migration

15. A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins

17. A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins

18. A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins

19. A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins

21. Predicting Spring Phenology in Deciduous Broadleaf Forests: An Open Community Forecast Challenge

22. Predicting Spring Phenology in Deciduous Broadleaf Forests: Neon Phenology Forecasting Community Challenge

25. A protocol for reproducible functional diversity analyses

28. Evolution and Diversification Dynamics of Butterflies

30. Occupancy–detection models with museum specimen data: Promise and pitfalls.

31. Phenological research based on natural history collections: Practical guidelines and a lepidopteran case study.

32. A protocol for reproducible functional diversity analyses

40. Figure 1 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264

41. Figure 4 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264

42. Figure 2 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264

43. Figure 6 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264

44. Figure 3 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264

45. Figure 7 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264

46. Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae)

47. Figure 5 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264

48. Figure 8 from: Cardoso P, Shirey V, Seppälä S, Henriques S, Draney M, Foord S, Gibbons A, Gomez L, Kariko S, Malumbres-Olarte J, Milne M, Vink C (2019) Globally distributed occurrences utilised in 200 spider species conservation profiles (Arachnida, Araneae). Biodiversity Data Journal 7: e33264. https://doi.org/10.3897/BDJ.7.e33264

49. Figure 4 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449

50. Supplementary material 4 from: Seltmann K, Lafia S, Paul D, James S, Bloom D, Rios N, Ellis S, Farrell U, Utrup J, Yost M, Davis E, Emery R, Motz G, Kimmig J, Shirey V, Sandall E, Park D, Tyrrell C, Thackurdeen R, Collins M, O'Leary V, Prestridge H, Evelyn C, Nyberg B (2018) Georeferencing for Research Use (GRU): An integrated geospatial training paradigm for biocollections researchers and data providers. Research Ideas and Outcomes 4: e32449. https://doi.org/10.3897/rio.4.e32449

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