The proportion of lake area which exhibited decreases (blue bars) versus increases (green bars) in chl-a for the largest 18 lakes in the world. by Benjamin M. Kraemer (7526225)

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Innovation and night light in large and small cities. by Saul Estrin (8629173)

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Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

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Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Large prairie patches. by Megan P. Vhay (18707751)

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

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Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

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Large-scale filtration system data. by Haedi E. DeAngelis (10652168)

Large play kit. by Calli Naish (17125111)

Large direct shear test system. by Changbo Du (14014481)

Schematic of Large-Scale Filtration System (LSFS). by Haedi E. DeAngelis (10652168)

Large Hyperfine Coupling Arising from Pseudo‑²S Ground States in a Series of Lutetium(II) Metallocene Complexes by Danh X. Ngo (6110606)

“…Notably, these values are the largest yet observed for any lanthanide complex. Moreover, EPR and computational analysis show that the large values of <i>A</i>_iso stem from large s-orbital characterup to 41.2%in the corresponding singly occupied molecular orbitals. …”

An osprey nest with a large chick and an unhatched egg (photo P. Saurola). by Matti Viluksela (321291)

Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

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Entropy analysis for the large data set including the GST dataset. by Aleksi Sutinen (10039145)

Measures of access and affordability by income level, age 57 to 73 years. by Rahul Aggarwal (4428457)

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Percentage of US adults with health insurance coverage by income-level, age 60 to 70 years. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment with healthcare access by income level¹. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment with prescription medications by income level¹. by Rahul Aggarwal (4428457)

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Baseline characteristics of the US population ages 64 and 66 years by income level¹. by Rahul Aggarwal (4428457)

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