Spatial variation of water availability in Hebi. by Shaolei Guo (3146259)

“…The results indicate that: (1) During the study period, the overall land use type in Hebi City has been constantly changing, with the most significant conversion from arable land to other land types; combined with its landscape pattern index, Hebi City has a general characteristic of significant landscape fragmentation and complexity in land use. (2) Habitat quality in Hebi shows an overall trend towards better development, with water availability decreasing and then increasing; the zoning of ecosystem services in Hebi is divided into three classes: superior, good and general, with the area covered by the superior and general classes expanding year by year. (3) Correlation analysis by SPSS software shows that the correlation between habitat quality and landscape pattern index is greater than the correlation between habitat quality and climate change. …”

Temporal trend (1972–2017) of ∑PCDD/F (upper graph) and PCDD/F TEQ (lower graph) in osprey eggs in the whole dataset and in different study areas. by Matti Viluksela (321291)

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The variation trend of |BD| value with age: With the increase of age, the |BD| values decreased significantly (p<0.01). by Yunmeng Da (707943)

<i>ESI</i> values and change trends in CYP at the county level. by Yun Chen (279569)

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Joinpoint analysis of trends in the age-standardized DALYs rates of LC, LOC, and OPC from 1990 to 2021. by Mengjuan Ding (21560393)

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Joinpoint analysis of trends in the age-standardized DALYs rates of HNC, NPC, and TC from 1990 to 2021. by Mengjuan Ding (21560393)

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Ozone concentration and urbanization level in China, 2015–2019. by Li-Min Wang (783263)

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2015–2019 AQI and changes in the concentration of various pollutants in ambient air. by Li-Min Wang (783263)

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Descriptive statistics (2015–2019). by Li-Min Wang (783263)

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S1 Data - by Li-Min Wang (783263)

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2015–2019 national ozone pollution level Moran’<i>I</i> index and its inspection results. by Li-Min Wang (783263)

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Distribution of regression coefficients of factors affecting ozone from 2015 to 2019. by Li-Min Wang (783263)

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Flow chart of urbanization ozone pollution. by Li-Min Wang (783263)

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Spatial distribution of population exposure risks.GS (2022)1873. by Jun Yan (28467)

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Illustration of the innovative trend analysis (ITA) method. by Asnake Adane (19935018)

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Seasonal Mann-Kendall trend statistics calculated from spatially averaged data over the whole UJRB and each vegetation class in four quarters (Q1, Q2, Q3 and Q4) during 1982 to 201... by Jamal Hassan Ougahi (13513875)

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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…(C) In vCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.138 ± 0.065, APP/PS1 = 0.112 ± 0.035, p < 10⁻⁶, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 689 units from 6 recording sessions, n_APP/PS1 = 651 units from 8 recording sessions). …”

Trends of the temperature, precipitation, and TVDI in the Santun River Irrigation Area, Xinjiang, during 2005–2023. by Yuxin Wei (11510974)

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Spatial distribution of monitoring stations and population in CPUA.GS (2022)1873. by Jun Yan (28467)

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The spatial (districtwide) distribution of census population of Bangladesh in 2022. by Kamal Hossain (331680)

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