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Spatiotemporal patterns of annual clear-cutting distribution in tropical and subtropical regions of China with time series Landsat and CCDC
Published 2025-01-01Subjects: Get full text
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Spatiotemporal Pattern Networks of Heavy Rain among Automatic Weather Stations and Very-Short-Term Heavy-Rain Prediction
Published 2016-01-01“…Spatiotemporal pattern networks of heavy rain among automatic weather stations, which reflect the mobility of heavy rain, were constructed and analyzed based on the hourly precipitation data over the last ten years (from 2003 to 2012) in South Korea. …”
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Evaluating the spatiotemporal patterns of GPP and tree growth for their response to CO2 fertilization effects in mid-latitude forests of China
Published 2025-01-01Subjects: Get full text
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Dynamics of Cropland Non-Agriculturalization in Shaanxi Province of China and Its Attribution Using a Machine Learning Approach
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Artificial cell system as a tool for investigating pattern formation mechanisms of intracellular reaction-diffusion waves
Published 2024-11-01Subjects: Get full text
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The spatial and temporal pattern of COVID-19 and its effect on humans’ development in China
Published 2020-06-01Subjects: Get full text
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Land use and cover change significantly enhanced evapotranspiration in the Yellow River Delta from 2000 to 2023
Published 2025-04-01Subjects: Get full text
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Spatiotemporal evolution of ecological vulnerability on the Loess Plateau
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Land use/cover change simulation research: A system literature review based on bibliometric analyses
Published 2025-01-01Subjects: Get full text
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Monitoring of Land Subsidence and Analysis of Impact Factors in the Tianshan North Slope Urban Agglomeration
Published 2025-01-01Subjects: Get full text
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Network-wide effects of pallidal deep brain stimulation normalised abnormal cerebellar cortical activity in the dystonic animal model
Published 2025-02-01“…This study explores how pallidal DBS alters spatiotemporal pattern formation of neuronal dynamics within the cerebellar cortex in a dystonic animal model, the dtsz hamster. …”
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Investigation of the Soan River Water Quality Using Multivariate Statistical Approach
Published 2020-01-01“…The sampling stations were grouped into specific clusters on the basis of the spatiotemporal pattern of water quality data. The parameters dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), turbidity, and total suspended solids (TSS) are among the prominent contributing variations in water quality, indicating that the water quality of the Soan River deteriorates gradually as it passes through the urban areas, receiving domestic and industrial wastewater from the outfalls. …”
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