Supplementary dataset. by Mohd Hafiidz Baharudin (21410499)

Significant age, sex, and smoking iQTLs by Silva Kasela (17303299)

Correlations of cytokines that significantly change between the pre-infusion and post-infusion blood draws pearson’s correlation between cytokine pairs is indicated by color and si... by Jordan K. Abbott (8934239)

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Significant coefficients in VECM analysis. by Shazelin Alipitchay (21101174)

Water level changes in the foresight scenarios. by Zihao Duan (17403792)

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Water level changes in the Caspian Sea. by Zihao Duan (17403792)

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Methods used to extract shoreline changes. by Zihao Duan (17403792)

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Data_Sheet_1_Tobacco Root Microbial Community Composition Significantly Associated With Root-Knot Nematode Infections: Dynamic Changes in Microbiota and Growth Stage.docx by Yi Cao (229829)

“…The abundance of Sphingomonas decreased significantly from 18% to less than 3%, while the abundance of Rhizobiaceae increased from 4 to 15% at the early growth stage during the first planting year, and it promoted the proliferation of Chryseobacterium at the late growth stage in rhizosphere microorganisms with the highest abundance of 17%. …”

Increased or reduced ATGL-1 activity does not significantly change <i>N. parisii</i> growth. by Hala Tamim El Jarkass (16625309)

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Mean (95% CI) and standard deviation of Lumbar Lordosis angle(˚) between two groups pre and post 60 minutes of standing. by Saeedeh Abbasi (9423189)

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Mean (95% CI) and standard deviation of Co-Contraction index of right and left gluteus medius (MVC%) during 60 minutes standing between two groups. by Saeedeh Abbasi (9423189)

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Growth on stiff substrate results in mild lifespan extension but a decrease in organismal health. by Maria Oorloff (19658113)

Raw data. by Saeedeh Abbasi (9423189)

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Data. by Saeedeh Abbasi (9423189)

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Transcript-based computation of changes in free energy of amino acids of rare nsSNPs of PTB-related genes. by Muhammad Bilal Azmi (14519913)

Self-reported affect change during CFI for participants who attended multiple sessions (N = 22). by Iona Naismith (14581268)

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Prevalence of hyperemic coronary flow decrease. by Eisuke Usui (12111855)

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Prediction of hyperemic coronary flow decrease. by Eisuke Usui (12111855)

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Dataset composition. by Sara Joubbi (22421629)

The significant difference between DGNN-DDI and other models in terms of predicted scores. by Mei Ma (2271595)

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