Mean annual temperature has increased significantly in Eagle (near Yukon-Charley Rivers National Preserve) and McGrath (near Denali National Park), Alaska, and remained relatively... by Danielle L. Rupp (12889935)

Data_Sheet_1_Climate and Human-Driven Variability of Summer Hypoxia on a Large River-Dominated Shelf as Revealed by a Hypoxia Index.docx by Kui Wang (137551)

“…<p>Coastal hypoxia has become common especially in large river dominated coastal ecosystems. To better quantify the severity of hypoxia and the contribution of hypoxia drivers, we applied principal component analysis (PCA) on observable properties from eight summer hypoxia events in the East China Sea and defined the first principal component as the hypoxia index (HI). …”

Dynamics of heavy metals in the fine sediments from a subtropical forest headwater stream during a rainy season by Zemin Zhao (7387283)

“…We found that (1) the mean storage of fine sediment of heavy metals was ordered Mn (21.57 g m⁻²) > Pb (2.53 g m⁻²) > Zn (2.27 g m⁻²) > Cr (0.66 g m⁻²) > Cu (0.12 g m⁻²) > Cd (0.006 g m⁻²); (2) their storage had a transient increase during the rainy season, followed by a decrease, but storage of both Zn and Cr was unevenly distributed from stream source to mouth; and (3) the key factors controlling heavy metal storage were water alkalinity, temperature, and pH, as well as monthly precipitation. …”

Data_Sheet_1_Microplastics in the Mediterranean: Variability From Observations and Model Analysis.docx by Kostas Tsiaras (7251908)

“…Coupled hydrodynamic/particle drift model simulations with basin-scale Mediterranean and high resolution nested models were used to provide a better understanding on the variability of the abundance/size of MPs, originating from wastewater and river runoff, in the four areas. …”

Data_Sheet_2_Microplastics in the Mediterranean: Variability From Observations and Model Analysis.xlsx by Kostas Tsiaras (7251908)

“…Coupled hydrodynamic/particle drift model simulations with basin-scale Mediterranean and high resolution nested models were used to provide a better understanding on the variability of the abundance/size of MPs, originating from wastewater and river runoff, in the four areas. …”

DataSheet1_Analysis of the temporal and spatial pattern of air pollution and the heterogeneity of its influencing factors in central Inner Mongolia from 2016 to 2018.DOCX by Jie Wang (16762)

“…The results show that: 1) the established model can better estimate the spatial distribution of PM2.5 concentration in the study area, and the monthly mean correlation coefficient R of the verification parameters is stable, ranging from 0.58 to 0.66. 2) PM2.5 concentration in central Inner Mongolia showed significant temporal and spatial variation. …”