Dataset. by Nathan Mubiru (21627195)

“…Results were considered clinically significant if the percentage change was > 10% and if the p-value was < 0.05.…”

Bioclimatic variables used for MaxEnt modeling. by Dong-Joo Kim (1797640)

“…Landscape tree also have specific climatic ranges and environmental requirements, making them susceptible to climate change. …”

Heavy metal EF values in five soil profiles. by Ziqi Li (7154915)

“…Except for profile HCZK02, the contents of 8 heavy metals generally decrease with increasing depth. As the depth of profile HCZK02 increases, As, Hg and Pb show a decrease-increase-decrease change; Cd and Cr show a decrease change and Ni shows a zigzag change; Cu and Zn show a decreasing-increasing-decreasing-increasing trend. …”

Prevalence of CSF biomarkers across age. by Sarah J. Neal (20721301)

Correlation between the RS rate and temperature. by Yueqin Chen (5811368)

“…In addition, the effects of seasonal changes on soil respiration were also analyzed. The experimental results showed that low nitrogen addition rate (5 g·m^-2·yr^-1) increased soil respiration rate by about 11% in summer, but decreased it by about 6% in winter, with a range of 5% to 20%. …”

Schematic diagram of experimental area selection. by Yueqin Chen (5811368)

“…In addition, the effects of seasonal changes on soil respiration were also analyzed. The experimental results showed that low nitrogen addition rate (5 g·m^-2·yr^-1) increased soil respiration rate by about 11% in summer, but decreased it by about 6% in winter, with a range of 5% to 20%. …”

Influence of N-addition on soil RH. by Yueqin Chen (5811368)

“…In addition, the effects of seasonal changes on soil respiration were also analyzed. The experimental results showed that low nitrogen addition rate (5 g·m^-2·yr^-1) increased soil respiration rate by about 11% in summer, but decreased it by about 6% in winter, with a range of 5% to 20%. …”

Data - Climate change impacts on Lactuca sativa.xlsx by Nicholas Yos (21507818)

“…Climate change-induced shifts in these environmental conditions have the potential to significantly affect nearly all terrestrial plants. …”

TITAN analyses. by Erik W. Ertsgaard (20521628)

European study sites. by Graeme T. Swindles (7192745)

“…We also note that the highest values of aPAR are found when the water table is within 5–10 cm of the peatland surface. aPAR is generally low when water table depths are < 0 cm (standing water) or > 25 cm, which may relate to a decrease in plant productivity and increased decomposition losses, respectively. …”

Location of study sites. by Graeme T. Swindles (7192745)

“…We also note that the highest values of aPAR are found when the water table is within 5–10 cm of the peatland surface. aPAR is generally low when water table depths are < 0 cm (standing water) or > 25 cm, which may relate to a decrease in plant productivity and increased decomposition losses, respectively. …”

MDSC inhibition was correlated with Trp metabolism in 17ZR101-infected lungs. by Qi Xu (134661)

Interannual variations. by John P. Ryan (7388621)

<b>Data from: </b><b>Experimentally increased food availability allows for earlier departure in a long-distance migratory shorebird</b> by Thomas Lameris (20888213)

“…From these trajectories we determined the start and end of body mass deposition and plumage status increase, as well as the rates of change in this period. …”

Caddisfly biodiversity in Pernambuco state, Brazil: overcoming the biodiversity knowledge shortfall and insights into the effects of climate change by Rafael Pereira (6635264)

“…Climate projections indicate a significant decrease in the temperature range, shifting from the current 13.2–33.6 °C to 17.9–33.6 °C, and precipitation range will decrease from 507 to 1948 mm³/year to 528–1428 mm³/year. …”

Table 3_Ranges, temporal trend, and determinants of novel obesity indices in middle-aged and older Chinese population: insights from a nationally representative and longitudinal st... by Liufang Huang (12397954)

“…Over the five-year period, WHtR, CVAI, and LAP increased significantly (β = 0.00489, β = 4.51607, β = 6.37441; all p < 0.001), while ABSI decreased (β = −0.00048, p < 0.001). …”

Table 1_Ranges, temporal trend, and determinants of novel obesity indices in middle-aged and older Chinese population: insights from a nationally representative and longitudinal st... by Liufang Huang (12397954)

“…Over the five-year period, WHtR, CVAI, and LAP increased significantly (β = 0.00489, β = 4.51607, β = 6.37441; all p < 0.001), while ABSI decreased (β = −0.00048, p < 0.001). …”

Table 4_Ranges, temporal trend, and determinants of novel obesity indices in middle-aged and older Chinese population: insights from a nationally representative and longitudinal st... by Liufang Huang (12397954)

“…Over the five-year period, WHtR, CVAI, and LAP increased significantly (β = 0.00489, β = 4.51607, β = 6.37441; all p < 0.001), while ABSI decreased (β = −0.00048, p < 0.001). …”

Table 5_Ranges, temporal trend, and determinants of novel obesity indices in middle-aged and older Chinese population: insights from a nationally representative and longitudinal st... by Liufang Huang (12397954)

“…Over the five-year period, WHtR, CVAI, and LAP increased significantly (β = 0.00489, β = 4.51607, β = 6.37441; all p < 0.001), while ABSI decreased (β = −0.00048, p < 0.001). …”

Table 2_Ranges, temporal trend, and determinants of novel obesity indices in middle-aged and older Chinese population: insights from a nationally representative and longitudinal st... by Liufang Huang (12397954)

“…Over the five-year period, WHtR, CVAI, and LAP increased significantly (β = 0.00489, β = 4.51607, β = 6.37441; all p < 0.001), while ABSI decreased (β = −0.00048, p < 0.001). …”