Data for: Soil microplastics pollution can reduce viral abundance and have less consistent impacts on bacteria by Wen-Wen Huang (22122439)

“…A number of environmental factors may affect viruses and their microbial hosts differentiate. …”

Atorvastatin neuronal morphology data_CP.xlsxData set: neuronal morphology by Carolyn Pytte (20641508)

“…Our findings indicate that atorvastatin may affect neural cytoarchitecture in both newly formed and mature neurons, perhaps as a consequence of decreased cholesterol availability in the brain.…”

Table 1_The impact of climate change on medicinal plants and natural products: A scoping review.pdf by Marce Inggritha Takubessi (22671905)

“…</p>Results<p>A total of 219 studies were included, showing a significant increase in publication after 2021. Most studies were conducted in Asia, especially in China and India, whereas Europe, Africa, and South America remain underrepresented. …”

Data_Sheet_1_Liver cirrhosis is a risk-factor for Pneumocystis jirovecii associated mortality.pdf by Georg Peschel (14005905)

“…There was a significant correlation of Meld score and mortality (r = 0.612, p < 0.001).…”

Table 1_Effect of pain-relief nursing on activities of daily living in patients following hip arthroplasty: a systematic review and meta-analysis.docx by Jun Xie (53987)

“…Background<p>Discomfort and reduced physical function can often be significant after hip arthroplasty procedures, especially in older adults. …”

Data Sheet 1_Potential geographical distribution of Cordyceps cicadae and its two hosts in China under climate change.docx by Junyi Chen (776323)

“…C. cicadae thrived on steep slopes. and some of which also significantly affect the distribution of its two hosts. …”

The effect of HA digestion and HA replenishment alone or with CS on barrier function measured by TEER. by Charlotte J. van Ginkel (20790466)

“…PS decreased TEER. (C) Different treatments (treatment groups n = 8)with HA and/or CS did not affect TEER recovery after PS treatment, full recovery was seen in all groups after 24 hours. …”

Data Sheet 1_“University stress” exploring the potential impact of an immersive art experience on a college campus.pdf by Lyn Godley (22603955)

“…Results showed statistically significant decreases in 12 negative affect scores and increases in 9 positive affect scores. …”

Data_Sheet_1_MakC and MakD are two proteins associated with a tripartite toxin of Vibrio cholerae.pdf by Nandita Bodra (19793703)

“…Through deletion mutant analysis, we found that individual deletions of makC or makD do not significantly affect MakA expression or secretion. However, the deletion of both makC and makD impairs the expression of MakB, which is directly downstream, and decreases the expression of MakE, which is separated from makCD by two genes. …”

Data Sheet 1_The differential effect of optogenetic serotonergic manipulation on sustained motor actions and waiting for future rewards in mice.docx by Masakazu Taira (19736398)

“…While optogenetic inhibition decreased waiting, it did not affect lever pressing time or numbers. …”

Data Sheet 1_Bryostatin-1 enhances the proliferation and functionality of exhausted CD8+ T cells by upregulating MAP Kinase 11.docx by Ling Li (38566)

“…RNA-seq revealed that mitogen-activated protein kinases (MAPK) 11 was significantly downregulated in exhausted CD8+ T cells, however, it greatly upregulated after bryostatin-1 treatment. …”

Descriptive statistics. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Changes in body composition, PSC, PSCP, MVPA. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Image 1_The gut microbiota in liver transplantation recipients during the perioperative and postoperative recovery period.png by Zhongyuan Bai (8859077)

“…Metagenomic sequencing, analyzed using the LEfSe method, identified a total of 50 genera that played significant roles in this process. The changes in microbiota exhibited the same trend as the 16S rRNA results. …”

Causal paths for FFM. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Recruitment and screening flowchart. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Image 2_The gut microbiota in liver transplantation recipients during the perioperative and postoperative recovery period.jpeg by Zhongyuan Bai (8859077)

“…Metagenomic sequencing, analyzed using the LEfSe method, identified a total of 50 genera that played significant roles in this process. The changes in microbiota exhibited the same trend as the 16S rRNA results. …”

Factors influencing body fat percentage at Q2. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

Factors influencing body fat percentage at Q1. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”

STROBE flowchart. by Xiang Pan (5774024)

“…Data were collected at three time points (mid-semester (T0), end of semester (T1), and end of the winter holidays (T2)), and explorations were conducted using multivariate linear regression and Granger causality tests to investigate how changes in moderate-to-vigorous physical activity(MVPA), snacking habits (proportion of snack calorie, PSC; proportion of snack calories from protein, PSCP) in multiple stages and how their changes affect body composition. The results showed that during the semester phase, increases in ΔMVPA and ΔPSCP and decreases in ΔPSC were associated with decreases in ΔBFP (Δ = post-timepoint value − pre-timepoint value). …”