Data Sheet 3_Divergent trends and regional disparities in PM2.5 and O3 health economic burdens in China, 2013–2023: an integrated assessment with policy implications.zip by Ziqi Tang (10904159)

“…<p>Utilizing China’s air quality monitoring data from 2013 to 2023, this study employs spatial autocorrelation analysis and health impact assessment methodologies to quantify the health economic costs and temporal trends of PM_2.5 and O₃ pollution across mainland China. …”

Data source and description. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Analytical framework. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Location of the study area. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Influencing factor index system. by Yunxia Zhang (30848)

“…The results show that: (1) the level of non-grain of cultivated land in Lianyungang City increased gradually from 6.01% to 11.10% from 2002 to 2022, and grain cultivation was mainly shifted to greenhouse vegetables, construction and development and abandonment. (2) the level of non-grain of cultivated land showed a spatial pattern of high along the north-west-south-east and decreasing to the two sides, and the pattern showed a trend of gradual weakening, with Moran’s I decreased from 0.90 to 0.42. (3) The dominant factors of the spatial differentiation of non-grain of cultivated land in different periods are different, among which GDP, population density, NDVI, and precipitation are always the main influencing factors. …”

Presentation 1_A framework for modeling county-level COVID-19 transmission.pdf by Yida Bao (15255682)

“…We then use Moran's I to evaluate spatial clustering, prompting Spatial Autoregressive and Spatial Error Models when autocorrelation is significant. …”

Data Sheet 1_Fast perceptual learning induces location-specific facilitation and suppression at early stages of visual cortical processing.docx by Yajie Wang (184298)

Image 1_Assessment of microstructural abnormalities in gray and white matter of minimal hepatic encephalopathy patients using diffusion kurtosis imaging and their associations with... by Qing Sun (492552)

“…</p>Results<p>The TBSS analysis results showed that MHE patients had significantly decreased fractional anisotropy (FA) in the temporal part of the left superior longitudinal fasciculus and decreased kurtosis fractional anisotropy (KFA) in the left corticospinal tract and anterior thalamic radiation (p < 0.05, threshold-free cluster enhancement corrected). …”

Image1_In-situ analysis of polymetallic nodules from the clarion-Clipperton zone, Pacific Ocean: implication for controlling on chemical composition variability.jpeg by Jie Li (15030)

“…<p>Polymetallic ferromanganese nodules (PMNs) in the Clarion-Clipperton Zone (CCZ) exhibit significant spatial variability in chemical composition, which complicates exploration efforts and increases associated costs. …”

Table1_In-situ analysis of polymetallic nodules from the clarion-Clipperton zone, Pacific Ocean: implication for controlling on chemical composition variability.xlsx by Jie Li (15030)

“…<p>Polymetallic ferromanganese nodules (PMNs) in the Clarion-Clipperton Zone (CCZ) exhibit significant spatial variability in chemical composition, which complicates exploration efforts and increases associated costs. …”

Data declaration. by Mengting Jin (1888933)

“…<div><p>Land-use changes significantly influence carbon storage capacity by altering the structure, layout, and function of terrestrial ecosystems. …”

Land transfer parameters. by Mengting Jin (1888933)

“…<div><p>Land-use changes significantly influence carbon storage capacity by altering the structure, layout, and function of terrestrial ecosystems. …”

Technology roadmap. by Mengting Jin (1888933)

“…<div><p>Land-use changes significantly influence carbon storage capacity by altering the structure, layout, and function of terrestrial ecosystems. …”

Raw data of influencing factors. by Jie Huang (104235)

“…Meanwhile, the spatial spillover effects of human capital and financial development are not significant.…”

Evaluation standards of the CCD. by Jie Huang (104235)

“…Meanwhile, the spatial spillover effects of human capital and financial development are not significant.…”

Direct and indirect effects. by Jie Huang (104235)

“…Meanwhile, the spatial spillover effects of human capital and financial development are not significant.…”

Coupling degree results. by Jie Huang (104235)

“…Meanwhile, the spatial spillover effects of human capital and financial development are not significant.…”

Carbon productivity results. by Jie Huang (104235)

“…Meanwhile, the spatial spillover effects of human capital and financial development are not significant.…”

Digital infrastructure results. by Jie Huang (104235)

“…Meanwhile, the spatial spillover effects of human capital and financial development are not significant.…”

Coupling coordination degree results. by Jie Huang (104235)

“…Meanwhile, the spatial spillover effects of human capital and financial development are not significant.…”