Supporting information file corresponding to Fig 8. by Oswaldo Maillard (20660661)

Satellite-Based Monitoring of Methane Emissions from China’s Rice Hub by Ruosi Liang (14018604)

“…Our satellite-based estimation finds a rice methane emission of 0.85 (0.69–1.03) Tg a^–1 from the province or an average emission factor of 22.0 (17.8–26.6) g m^–2 a^–1 when normalized by rice paddy areas. …”

Distribution of AQI and Air pollutants indicators by provinces. by Weixin Chen (138569)

Influencing factors of APCA. by Wenping Ning (19871091)

“…When the spatial lag type is high-level advantage, the probability of stabilization of the low-level advantage decreases from 68.42% to 0.00%. 3) Nonfarm payrolls have the largest dampening effect at the 40% quantile.…”

Temporal trends in APCA. by Wenping Ning (19871091)

“…When the spatial lag type is high-level advantage, the probability of stabilization of the low-level advantage decreases from 68.42% to 0.00%. 3) Nonfarm payrolls have the largest dampening effect at the 40% quantile.…”

Traditional Markov transfer probability matrices. by Wenping Ning (19871091)

“…When the spatial lag type is high-level advantage, the probability of stabilization of the low-level advantage decreases from 68.42% to 0.00%. 3) Nonfarm payrolls have the largest dampening effect at the 40% quantile.…”

Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

“…When the spatial lag type is high-level advantage, the probability of stabilization of the low-level advantage decreases from 68.42% to 0.00%. 3) Nonfarm payrolls have the largest dampening effect at the 40% quantile.…”

Three-dimensional kernel density of APCA. by Wenping Ning (19871091)

“…When the spatial lag type is high-level advantage, the probability of stabilization of the low-level advantage decreases from 68.42% to 0.00%. 3) Nonfarm payrolls have the largest dampening effect at the 40% quantile.…”

Distribution of average physical fitness scores across 30 provinces. by Weixin Chen (138569)

Selection and screening of study participants. by Weixin Chen (138569)

“…This study represents one of the largest nationwide investigations of this association, leveraging data from 174,246 students aged 7–22 years across 30 provinces.…”

Convergence of the diffusion method (dataset 1). by Zakaria Belghali (22581967)

Convergence of the simulation method (transformation + diffusion). by Zakaria Belghali (22581967)

Supporting information. by Jianqin Ma (20328414)

“…Agricultural water footprint (WF_argi) account for the largest share, while industrial water footprint (WF_indu) show a decreasing trend, indicating improved water-use efficiency in industry. …”

Signal intersection and signal distribution characteristics. by Wenlong Qian (22608053)

Water footprint at regional levels in China. by Jianqin Ma (20328414)

“…Agricultural water footprint (WF_argi) account for the largest share, while industrial water footprint (WF_indu) show a decreasing trend, indicating improved water-use efficiency in industry. …”

Demographic information reported by AEs in FAERS. by Wenlong Qian (22608053)

Network plot of the distribution of AE signals in each SOC of penicillamine. by Wenlong Qian (22608053)

Decoupling index of water footprint and GDP at the provincial level. by Jianqin Ma (20328414)

Forest plot and volcano plot of ROR values (95% CI) for the first 30 high signal intensity AEs of penicillamine versus trientine. by Wenlong Qian (22608053)

<b>Nest mass in forest tits </b><b><i>Paridae</i></b><b> </b><b>increases with elevation and decreasing body mass, promoting reproductive success</b> by Clara Wild (19246606)

“…We found that nest mass increased by ~ 60% along the elevational gradient, but the effect of canopy openness on nest mass was not significant, while nest mass decreased along the ranked species from the smallest <i>Periparus ater</i> to the medium-sized <i>Cyanistes caeruleus</i> and the largest <i>Parus major</i>. …”