This data was obtained from an assessment using an academic procrastination scale towards 586 students in the XIII semester at Makassar, Indonesia. Students respond to statements with a Likert-scale of 5,4,3,2,1, which represents strongly agree, agree, doubt, disagree, and strongly disagree, respectively.
The autocalibration tool coupling SWMM with the Genetic Optimization Algorithm is used to constantly change the parameter combination of the model, and choose the best parameter group by comparing the performance of the model. The validated SWMM model is used to simulated hydrological processes with different rainfalls. the climate projection data for three periods in four return periods are used to analyze the flooding process under different scenarios. The simulation result data including the total waterlogging volume and waterlogging duration is showed as the attribute data of the manholes
Reports of major limb defects after prenatal cannabis exposure (PCE) in animals and of human populations in Hawaii, Europe and Australia raise the question of whether the increasing use of cannabis in USA might be spatiotemporally associated with limb reduction rates (LRR) across USA. Geotemporospatial analysis conducted in R. LRR was significantly associated with cannabis use and THC potency and demonstrated prominent cannabis-use quintile effects. In final lagged geospatial models interactive terms including cannabinoids were highly significant and robust to adjustment. States in which cannabis was not legalized had a lower LRR (4.28 v 5.01 /10,000 live births, relative risk reduction = -0.15, (95%C.I. -0.25, -0.02), P=0.021). 37-63% of cases are estimated to not be born alive; their inclusion strengthened these associations. Causal inference studies using inverse probabilty-weighted robust regression and e-values supported causal epidemiological pathways. Findings apply to several cannabinoids, are consistent with pathophysiological and causal mechanisms, are exacerbated by cannabis legalization and demonstrate dose-related intergenerational sequaelae.
Contributors:Hou Jinjin, Zhang Yongyong, Xia Jun, Pan Xingyao, Yang Moyuan, Leng Guoyong, Dou Ming
The geographic data sources were the digital elevation model (DEM) with the resolution of 10 m, land use with the resolution of 10 m, catchment boundary and drainage network, which were gathered for subcatchment subdivision for urban stormwater model development.
The present dataset includes data and figures related to the submitted paper " Modeling and pseudo-inversion of transient multicomponent electromagnetic logging while drilling measurements " currently under review in Journal of Petroleum Science & Engineering.
The National Wet Waste Inventory is a point spatial dataset containing >56,000 modeled sources of municipal wastewater sludge; confined animal manure; industrial, institutional, and commercial (IIC) food waste; and fats, oils, and greases (FOG). These wastes are considered priority organic feedstocks for waste-to-energy conversion. While the dataset is spatially explicit to enable geospatial analysis, the point locations and the
associated waste magnitudes are considered representative and are intended to be used for national scale resource assessment modeling and may not reflect current on the ground conditions at a given location.