Data availability for global burned area trends study

<b>Data availability for the paper:</b>Wu, C., Venevsky, S., Sitch, S., Mercado, L.M., Huntingford, C., and Staver, A.C. (2021) Historical and future global burned area with changing climate and human demography. One Earth.All raw data used to generate the figures and tables in the main text and Supplemental Information. If you have further questions, please contact Chao Wu ([e-mail])<b>Summary of this dataset</b>DATA: All raw data used to generate the figures 1-5 in the main text and figures 2-5, 7-12, and 14 in the Supplemental Information.This DATA includes the results for 34 ESMs, 1 offline, 6 factorial analyses, 1 demographic scenario, the result for the Amazon region, and other files that help to generate the figures.Each ESM includes 4 scenarios (RCP2.6, 4.5, 6, and 8.5), the “present” directory is used to run ILAMB.Factorial analysis to investigate the dominant limiting factors based on 3 ESMs are shown in “test_driver_*”, each of that includes 6 scenarios: fixed temperature (“rcp6_tem”), precipitation (“rcp6_pre”), wind speed (“rcp6_wind”), population density (“rcp6_pop”), ratio of rural population to total population (“rcp6_rur”), and distance to cities (“rcp6_dis”).Factorial analysis to investigate the dominant drivers based on 3 ESMs are shown in “fac_*”, each of that includes 7 scenarios: varying temperature only (“rcp6_tem”), varying precipitation only (“rcp6_pre”), varying wind speed only (“rcp6_wind”), varying population density only (“rcp6_pop”), varying ratio of rural population to total population only (“rcp6_rur”), varying distance to cities only (“rcp6_dis”), and control (“rcp6”).“ssps_MIROC_ESM” includes all scenarios to generate Figure 3C.“fac_GISS_E2_R_CC” includes all scenarios to generate Figure 5.“test_driver_GISS_E2_R_CC” includes all scenarios to generate Figure S12. “amazon_MIROC_ESM” includes all scenarios to generate Figure S11.For each scenario, there is one global result "SEVERGlobe.out" and one grid-based result for annual burned area ("aburntarea.dat").Each column in "SEVERGlobe.out" represents “year”, and the global annual “burned area”, “precipitation over land”.GFED4s product was accessed from http://www.globalfiredata.org/index.html; FireCCI51 product was accessed from https://geogra.uah.es/fire_cci/firecci51.php.The python code to interpret data and prepare the figures are available on request from the corresponding author.<br>