Data Sheet 1_Genome-wide association analysis of grain iron and zinc in rice grown under agroclimatic sites with contrasting soil iron status.pdf by Sonu (17999809)

“…Additionally, the response of these lines to Fe toxicity was assessed at one location.</p>Results<p>Significant phenotypic variation for both traits was observed. …”

Proteomic and Functional Analysis on Endothelial Cell Heterogeneity Identifies Key Regulators in Hyperglycemia-Induced Dysfunction-Supplemental Materials by Morgan Minjares (21143203)

“…EC functions vary significantly depending on their anatomic locations, especially for ECs forming macrovascular versus microvascular vessels. …”

<b>Seasonal Hydrology and Projected Landscape Changes Jointly Shape Future Water Quality in a Typical Watershed of the Three Gorges Reservoir Area</b> by Xiaojun Zhao (22390147)

“…Under future scenarios of aggravated landscape fragmentation, TN concentrations decreased while TOC and COD_Mn concentrations significantly increased compared to the 2024 dry season. …”

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

“…Characterising seasonal variations and spatial distribution of PM10 and PM2.5 concentrations based on the Swiss NABEL network. …”

Data Sheet 1_Development of subjective well-being in adolescents before and during the COVID-19 pandemic.pdf by Helene Eckert (20639243)

“…However, during the COVID-19 pandemic, only satisfaction with family decreased significantly. Among the moderators, especially the socioeconomic status indicated interindividual differences in the variation of different SWB facets.…”

Raw Data from Bioassays and R Code for Statistical Analyses in Manuscript Submitted to the <i>Journal of Chemical Ecology</i> by Masayuki Hayashi (12339841)

“…However, when minor variations in chemical structure do not significantly impact the organisms, a generalized response to similar chemicals without discrimination might be more adaptive. …”

Presentation1_Leaf nutrient traits exhibit greater environmental plasticity compared to resource utilization traits along an elevational gradient.zip by Xing Zhang (11943)

“…Generally, as elevation increased, SLA decreased, while LDMC significantly increased (P < 0.001), and LN first increase and then decreased (P < 0.001). …”

Table1_Leaf nutrient traits exhibit greater environmental plasticity compared to resource utilization traits along an elevational gradient.xlsx by Xing Zhang (11943)

“…Generally, as elevation increased, SLA decreased, while LDMC significantly increased (P < 0.001), and LN first increase and then decreased (P < 0.001). …”

Data Sheet 1_Diversity, functionality, and stability: shaping ecosystem multifunctionality in the successional sequences of alpine meadows and alpine steppes on the Qinghai-Tibet P... by Xin Jin (108988)

“…Surprisingly, community stability also significantly influences ecosystem multifunctionality—a factor rarely highlighted in previous studies. …”

Table 5_Effects of dietary NDF/NFC ratios on in vitro rumen fermentation, methane emission, and microbial community composition.docx by Jichao Li (1973251)

“…Principal coordinate analysis further indicated that composition of bacterial (R² = 0.298, p = 0.001) and archaeal (R² = 0.470, p = 0.001) communities differed significantly among groups. Differences in bacterial communities were primarily driven by Firmicutes (e.g., Ruminococcus, Pseudobutyrivibrio) and Proteobacteria (e.g., Succinivibrio, Ruminobacter), whereas variations in archaeal communities were associated with Methanobacteriales and Methanomicrobiales. …”

Table 1_Effects of dietary NDF/NFC ratios on in vitro rumen fermentation, methane emission, and microbial community composition.docx by Jichao Li (1973251)

“…Principal coordinate analysis further indicated that composition of bacterial (R² = 0.298, p = 0.001) and archaeal (R² = 0.470, p = 0.001) communities differed significantly among groups. Differences in bacterial communities were primarily driven by Firmicutes (e.g., Ruminococcus, Pseudobutyrivibrio) and Proteobacteria (e.g., Succinivibrio, Ruminobacter), whereas variations in archaeal communities were associated with Methanobacteriales and Methanomicrobiales. …”

Table 4_Effects of dietary NDF/NFC ratios on in vitro rumen fermentation, methane emission, and microbial community composition.docx by Jichao Li (1973251)

“…Principal coordinate analysis further indicated that composition of bacterial (R² = 0.298, p = 0.001) and archaeal (R² = 0.470, p = 0.001) communities differed significantly among groups. Differences in bacterial communities were primarily driven by Firmicutes (e.g., Ruminococcus, Pseudobutyrivibrio) and Proteobacteria (e.g., Succinivibrio, Ruminobacter), whereas variations in archaeal communities were associated with Methanobacteriales and Methanomicrobiales. …”

Table 6_Effects of dietary NDF/NFC ratios on in vitro rumen fermentation, methane emission, and microbial community composition.docx by Jichao Li (1973251)

“…Principal coordinate analysis further indicated that composition of bacterial (R² = 0.298, p = 0.001) and archaeal (R² = 0.470, p = 0.001) communities differed significantly among groups. Differences in bacterial communities were primarily driven by Firmicutes (e.g., Ruminococcus, Pseudobutyrivibrio) and Proteobacteria (e.g., Succinivibrio, Ruminobacter), whereas variations in archaeal communities were associated with Methanobacteriales and Methanomicrobiales. …”

Table 3_Effects of dietary NDF/NFC ratios on in vitro rumen fermentation, methane emission, and microbial community composition.docx by Jichao Li (1973251)

“…Principal coordinate analysis further indicated that composition of bacterial (R² = 0.298, p = 0.001) and archaeal (R² = 0.470, p = 0.001) communities differed significantly among groups. Differences in bacterial communities were primarily driven by Firmicutes (e.g., Ruminococcus, Pseudobutyrivibrio) and Proteobacteria (e.g., Succinivibrio, Ruminobacter), whereas variations in archaeal communities were associated with Methanobacteriales and Methanomicrobiales. …”

Table 2_Effects of dietary NDF/NFC ratios on in vitro rumen fermentation, methane emission, and microbial community composition.docx by Jichao Li (1973251)

“…Principal coordinate analysis further indicated that composition of bacterial (R² = 0.298, p = 0.001) and archaeal (R² = 0.470, p = 0.001) communities differed significantly among groups. Differences in bacterial communities were primarily driven by Firmicutes (e.g., Ruminococcus, Pseudobutyrivibrio) and Proteobacteria (e.g., Succinivibrio, Ruminobacter), whereas variations in archaeal communities were associated with Methanobacteriales and Methanomicrobiales. …”

Data_Sheet_1_Analysis of the global burden of cardiovascular diseases linked to exposure to ambient particulate matter pollution from 1990 to 2019.docx by Binbin Zou (11358315)

“…</p>Conclusion<p>The burden of CVDs linked to PM pollution has grown significantly from 1990 to 2019, with variations across regions and countries, highlighting the need for targeted prevention and pollution management strategies.…”

Image 3_The effect of Torreya grandis inter-cropping with Polygonatum sibiricum on soil microbial community.jpeg by Quanchao Wang (6760376)

“…Inter-cropping increased the abundance of Micrococcaceae, Xanthobacteraceae, Saitozyma, while decreased Bacillus, Burkholderia, Streptomyces, Cladosporium, and Gibberella significantly of the rhizosphere soil of T. grandis. …”

Table 2_The effect of Torreya grandis inter-cropping with Polygonatum sibiricum on soil microbial community.docx by Quanchao Wang (6760376)

“…Inter-cropping increased the abundance of Micrococcaceae, Xanthobacteraceae, Saitozyma, while decreased Bacillus, Burkholderia, Streptomyces, Cladosporium, and Gibberella significantly of the rhizosphere soil of T. grandis. …”

Image 4_The effect of Torreya grandis inter-cropping with Polygonatum sibiricum on soil microbial community.jpeg by Quanchao Wang (6760376)

“…Inter-cropping increased the abundance of Micrococcaceae, Xanthobacteraceae, Saitozyma, while decreased Bacillus, Burkholderia, Streptomyces, Cladosporium, and Gibberella significantly of the rhizosphere soil of T. grandis. …”

Table 6_The effect of Torreya grandis inter-cropping with Polygonatum sibiricum on soil microbial community.xlsx by Quanchao Wang (6760376)

“…Inter-cropping increased the abundance of Micrococcaceae, Xanthobacteraceae, Saitozyma, while decreased Bacillus, Burkholderia, Streptomyces, Cladosporium, and Gibberella significantly of the rhizosphere soil of T. grandis. …”