GTWR results of factors affecting the health level of older adults in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Interaction hotspot maps of influencing factors on older adults’ health level in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Overview of the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Temporal changes of older adults’ health level in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Spatiotemporal pattern evolution of the health level of older adults in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

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Spatiotemporal changes in factors influencing the health level of older adults in the Yangtze River Economic Belt, 2010–2020. by Mengmeng Yang (475288)

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Indicators and data sources for the health level and influencing factors of older adults. by Mengmeng Yang (475288)

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Median ± IQR <i>M. plutonius</i> bacterial load (CFU/bee) of newly emerged summer worker bees inoculated with 1 × 10⁷ CFU/bee <i>M. plutonius</i> 2019BC1 and/or treated... by Midhun Sebastian Jose (19336846)

Metabolome data of the discovery cohort. by Feng Gao (3548)

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The orthogonal projection to latent structure discriminant analysis (OPLS-DA) analysis of the three groups (OC vs HC, OC vs RC and RC vs HC) of the discovery cohort. by Feng Gao (3548)

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S9 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S3 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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Clinical characteristics of COVID-19 cases and healthy controls in the discovery cohort. by Feng Gao (3548)

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S7 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S2 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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Relative intensities of differential metabolites that may serve as potential metabolic biomarkers in Omicron variant cases. by Feng Gao (3548)

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S4 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S6 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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S5 Data - Alterations in the serum metabolome in patients with the COVID-19 Omicron variant and in recovered cases by Feng Gao (3548)

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ROC curve analysis for the predictive power of biomarkers for distinguishing between patients with Omicron variant and healthy controls. by Feng Gao (3548)

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