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- Soranno, Patricia A., et al.
(författare)
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LAGOS-NE : A multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. lakes
- 2017
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Ingår i: GigaScience. - : Oxford University Press (OUP). - 2047-217X. ; 6:12, s. 1-22
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Tidskriftsartikel (refereegranskat)abstract
- Understanding the factors that affect water quality and the ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how water quality will respond to global changes not only requires water quality data, but also information about the ecological context of individual water bodies across broad spatial extents. Because lake water quality is usually sampled in limited geographic regions, often for limited time periods, assessing the environmental controls of water quality requires compilation of many data sets across broad regions and across time into an integrated database. LAGOS-NE accomplishes this goal for lakes in the northeastern-most 17 US states. LAGOS-NE contains data for 51101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 datamodules for: lake location and physical characteristics for all lakes; ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes; and in situmeasurements of lake water quality for a subset of the lakes fromthe past 3 decades for approximately 2600–12 000 lakes depending on the variable. The database contains approximately 150000 measures of total phosphorus, 200 000 measures of chlorophyll, and 900 000 measures of Secchi depth. The water quality data were compiled from87 lake water quality data sets fromfederal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This database is one of the largest andmost comprehensive databases of its type because it includes both in situmeasurements and ecological context data. Because ecological context can be used to study a variety of other questions about lakes, streams, and wetlands, this database can also be used as the foundation for other studies of freshwaters at broad spatial and ecological scales
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| 2. |
- Zhang, Lei, et al.
(författare)
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Distinct ethnic differences in lipid profiles across glucose categories
- 2010
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Ingår i: Journal of Clinical Endocrinology and Metabolism. - : The Endocrine Society. - 0021-972X .- 1945-7197. ; 95:4, s. 1793-1801
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Tidskriftsartikel (refereegranskat)abstract
- Context: Dyslipidemia coexists with hyperglycemia. However, little is known about the ethnic differences in lipid profiles at comparable glucose tolerance status. Objective: The aim was to study ethnic differences in lipid profiles stratified by glucose levels. Design and Setting: Data from 31 study cohorts of 12 countries, consisting of 24,760 men and 27,595 women aged 25–74 yr, were compared. The odds ratio for having dyslipidemia was estimated for each ethnic group stratified by glucose categories. Results: Compared with central and northern Europeans, multivariable adjusted odds ratios (95% confidence intervals) for having lower high-density lipoprotein-cholesterol were 4.74 (4.19–5.37), 5.05 (3.88–6.56), 3.07 (2.15–4.40), and 2.37 (1.67–3.35) in Asian Indian men, but 0.12 (0.09–0.16), 0.07 (0.04–0.13), 0.11 (0.07–0.20), and 0.16 (0.08–0.32) in Chinese men who had normoglycemia, prediabetes, and undiagnosed and diagnosed diabetes, respectively. Similar results were obtained for women. The prevalence of low high-density lipoprotein-cholesterol remained higher in Asian Indians (62.8% of the nondiabetic and 67.4% of the diabetic) than in central and northern Europeans (20.3 and 37.3%), Japanese (25.7 and 34.1%), or Qingdao Chinese (15.7 and 17.0%), even in individuals with low-density lipoprotein-cholesterol of less than 3 mmol/liter. Conclusion: There are distinct patterns of lipid profiles associated with ethnicity regardless of the glucose levels, suggesting that ethnic-specific strategies and guidelines on risk assessment and prevention of cardiovascular disease are required.
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