Summary statistics of δ¹³C and δ¹⁵N for end-members and consumer feeding habits. by Nathan D. McTigue (10706460)

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Results from linear regression analysis for δ¹³C or δ¹⁵N and collection date. by Nathan D. McTigue (10706460)

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Decomposition analysis of gastric cancer burden in Taiwan, stratified by gender. (A) Incidence. (B) Prevalence. (C) Mortality. (D) DALYs. Positive values on the X-axis indicate an increase, negative values indicate a decrease and black dots represent the sum of the contributions of the three factors.... by Xiaohuang Yang (10182727)

“…(A) Incidence. (B) Prevalence. (C) Mortality. (D) DALYs. Positive values on the X-axis indicate an increase, negative values indicate a decrease and black dots represent the sum of the contributions of the three factors. …”

All individual numerical values corresponding to the data displayed in Figs 1B, 1C, 2D, 3F, 4B, 4D, 4F, by Gaowei Jin (8466573)

Concentrations of C, N, and P in time change. by Shizhen Xu (4474321)

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Ectopic expression of YebC2 significantly increases fitness of ∆<i>efp</i>∆<i>yfmR</i> cells. by Hye-Rim Hong (21077990)

Flow chart. by Abed al Hadi Krisht (19704098)

“…</p><p>Objective</p><p>The objectives of this study were to measure the prognostic value of the extent of lung parenchymal lesions on computed tomography (CT) and of several coagulation and inflammatory biomarkers, and to explore the characteristics of the patients depending on the extent of lung parenchymal lesions.…”

S1 File - by Abed al Hadi Krisht (19704098)

“…</p><p>Objective</p><p>The objectives of this study were to measure the prognostic value of the extent of lung parenchymal lesions on computed tomography (CT) and of several coagulation and inflammatory biomarkers, and to explore the characteristics of the patients depending on the extent of lung parenchymal lesions.…”

Figure 2C Raw data - <b>Increased </b><b><i>in vivo</i></b><b> transduction of AAV-9 cargo in Alport podocytes</b> by Maryline Fresquet (21018995)

Median and optimal TG/VLDL-C ratios by TG and non–HDL-C strata (28-cell). by Jongseok Lee (384431)

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Temperature change (°C) for three different RCMs under the RCP 4.5 and RCP 8.5 scenarios. by Muse Wldmchel (20642444)

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Missing value percentage for variables. by Xin Liu (43569)

Random walk sampling methodology (in the figure C-R stands for co-reliable authors, C-P stands for co-publication sites and RT stands for relevant titles). by Ge Wang (56838)

<i>δ</i>¹³C and <i>δ</i>¹⁵N isotope values from individuals at Cerro Juan Díaz. by Ashley E. Sharpe (8681484)

Schematic of the C3 structure of T-YOLOv5. by Xiaoli Wang (46677)

Cross-validation plot of different values of K using ADMIXTURE. by Allison L. Coomber (12486781)

Receiver operating characteristic curve analyses for the prediction of hepatitis C. by Lu Han (151620)

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The RC/HDL-C ratio was assessed for its predictive capacity of GDM across all participants using ROC analysis. by Jing Sheng (435260)

Details from photorepair fluence calculations with input and measured values as averages of biological triplicates. by Daniel Ma (12698752)

TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5^th and 95^th percentile change points are determined from 500 bootstrap replicate runs. Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm^-1), total nitrogen (TN; μg L^-1), and total phosphorus (TP; μg L^-1). Tolerant taxa change point derived from increaser sum <i>z</i>+ value. Flow permanence responses are opposite those of other stressors such that increasers are sensitive to decreasing FPI.... by Brent J. Bellinger (21156150)

“…Tolerant taxa change point derived from increaser sum <i>z</i>+ value. Flow permanence responses are opposite those of other stressors such that increasers are sensitive to decreasing FPI. …”