Datasheet1_Global, regional, and national time trends in ischaemic heart disease incidence over three decades (1990–2019): an age-period-cohort analysis of the global burden of dis... by Juan Tang (437969)

“…</p>Methods<p>From 1990 to 2019, we employed the Global Burden of Disease Study (GBD) Results Tool in conjunction with an age-period-cohort model. …”

Evening Micro-Sprinkler Pavement Cooling / Riego Microaspersor Vespertino para Pavimentos by Ricardo Riveros (22484566)

“…<p dir="ltr"><b>Abstract:</b><br>We propose a scalable, low-cost intervention to reduce urban heat on major roads and highways by applying a controlled micro-sprinkling of water during late-evening hours, when solar radiation is low and vehicle traffic has decreased. …”

Replication package for "Measuring trade costs and analyzing the determinants of trade growth between Cambodia and major trading partners: 1993-2019" by Borin Keo (20919743)

“…</p><p dir="ltr"><b>Key findings: </b>We find that Cambodia's average trade costs decreased by 35.43% between 1993 and 2019. …”

Evolutionarily conserved and functionally important amino acids in Artemis. by Ziwen Huang (17562948)

“…All flow cytometry data represented the mean ±  SD of three biological replicates. <i>P</i> values were analyzed with Student <i>t</i> test. ns, not significant.…”

Data Sheet 1_Real-time evaluation of antibacterial efficacy using bioluminescent assays for Pseudomonas aeruginosa and Staphylococcus aureus.pdf by Manali Patil (22142128)

“…Treatment with cefotaxime resulted in a significant reduction of the bioluminescent signal in P. aeruginosa compared to untreated controls, while doxycycline induced a delayed growth curve. …”

Species removal dampens the scale dependency of ecological determinism and stochasticity in rocky intertidal communities [dataset and codes] by Nelson Valdivia (600515)

“…However, the responses of both processes to the loss of foundation species, which strongly influence community dynamics across spatial scales, are unclear. We experimentally examined how spatial extent and foundation species removal affect rocky-intertidal community dynamics over three years in eight field sites spanning ~1000 km along the southeastern Pacific. …”

Table 1_Organic and inorganic fertilizers modulate the response of the soil microbiome to salinity stress.docx by Halima Malal (21570602)

“…Furthermore, NPK fertilization increased bacterial network complexity but decreased its stability. This study underscores the significance of employing vermicompost to improve the health of saline soils. …”

The role of Cathepsin inhibitors in RGC damage in hypoxic retina. by Emi Nakajima (21703141)

“…Treatment with neither Odanacatib nor SID26681509 reduced the percentage of PI-positive RGCs, whereas the positive control SNJ-1945 significantly decreased the percentage. Data are means ± SD (n = 3). …”

Excel raw data. by Michael Getie (12400923)

“…The age range of the patients included in this study was 1–96 years, and the mean age of the patients was 33.44 ± 17.36 years. …”

Gene diversity of lancelet <i>Artemis.</i> by Ziwen Huang (17562948)

“…All flow cytometry data represented the mean ±  SD of three biological replicates. <i>P</i>-values were analyzed with Student <i>t</i> tes<i>t</i>. ns, not significant.…”

Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”

Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Methods<p>This study employed bioinformatics analysis in conjunction with MR methods using publicly available databases to identify hub genes. We employed complementary MR methods, including inverse-variance weighted (IVW), to determine the causal relationship between the hub genes and PCOS. …”