Comparison of the goodness of fit of forest fire occurrence probability models by test dataset. by Xianzhuang Shao (22766120)

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Distribution of forest fire occurrence probability (a) and records by year in China (2000-2021) (b). by Xianzhuang Shao (22766120)

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Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

S1 Text - Predicting future forest fire occurrence probability based on drought characteristics at various temporal scales in P. R. China by Xianzhuang Shao (22766120)

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Normalized formulas and explanations. by Xianzhuang Shao (22766120)

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Variance proportion of principal components (%) and Loadings for drought characteristics. by Xianzhuang Shao (22766120)

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China’s meteorological drought classification standard. by Xianzhuang Shao (22766120)

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Bar chart showing changes in the average national light drought characteristics (Threshold = −0.5). by Xianzhuang Shao (22766120)

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Mean coefficients of the independent variables in various regions at different time scales. by Xianzhuang Shao (22766120)

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The detailed information of the CMIP6 climate models used in this study. by Xianzhuang Shao (22766120)

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VIF of explanatory variables for multicollinearity diagnosis. by Xianzhuang Shao (22766120)

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Bar chart showing changes (future period – historical period (2000−2019)) in forest fire occurrence probability for CC(a), EC(b), NC(c), NEC(d), NWC(e), SC(f), and SWC(g). by Xianzhuang Shao (22766120)

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Bar chart showing changes (future period – historical period (2000−2019)) in forest fire occurrence probability for CC(a), EC(b), NC(c), NEC(d), NWC(e), SC(f), and SWC(g). by Xianzhuang Shao (22766120)

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The seven geographical divisions of China(b) and China’s location within Asia(a). by Xianzhuang Shao (22766120)

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Bar chart showing changes in the average national mid drought characteristics (Threshold = −1). by Xianzhuang Shao (22766120)

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GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Trust change by gender. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”

Trust change by age group. by Alain Abi-Rizk (8549358)

“…Results indicate that respondnatds from North America and Europe Experienced an increase in trust where as Africa and South America Witnessed a decline in trust. Males exhibited a greater decline in trust than females (p = 0.038), and undergraduate degree holders showed the largest decrease (p = 0.001). …”