Table 1_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.xlsx by Joseph W. P. Nakoa (21796214)

Data Sheet 1_What should we focus on in pregnancy complicated by pheochromocytoma? a bibliometric analysis (1990-2024).pdf by Shiyun Deng (21734750)

Log2 fold change (FC), mean and standard deviation (SD) of each lipid specie from the normal liver (NL) and metabolic dysfunction-associated steatotic liver disease (MASLD) groups,... by Laia Bertran (3685147)

<i>Porphyromonas gingivalis</i> LPS pretreated by ozone ultrafine bubble water induces decreased TLR2 activation. by Mana Endo (22430706)

Clinical data of dogs and comparisons among groups. Values are distributed into 4 groups based on the value of the perfusion index (PI). Groups P1, P2, P3, and P4 included measurem... by Francesca Zanusso (18864843)

Spearman correlations between the age of the sample donor (20–70 years) and estimated proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

IC₅₀ values (mean ±SD in μM) of <i><i>in vitro</i></i> DPPH-radical scavenging properties vs. ascorbic acid and antiinflammation propensities vs. indomethacin of the tes... by MohammedBashar Al-Qazzan (22439236)

No significant differences in the numbers of eggs between Mst1^+/+ and Mst1^ΔM/ΔM mice. by Jianyang Li (461703)

(A-B): Mean intraocular pressure (IOP) (A) and mean number of glaucoma medications (B) with standard deviations are shown for XEN (grey) and PRESERFLO (black) groups at baseline (p... by Cemre Altas (22537656)

Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

“…Spearman correlation analysis between the individuals’ calendar ages and cell type proportions revealed a statistically significant decrease in the proportion of neurons with increasing age. …”

Flowchart outlining the protocol adopted in this systematic review. by Yasmine Makhlouf (17409866)

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Growth assessment parameters before and after biological treatment in the different studies. by Yasmine Makhlouf (17409866)

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Water footprint at regional levels in China. by Jianqin Ma (20328414)

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The distribution of water footprint levels in China. a, 2005. b, 2010. c, 2015. d, 2022. by Jianqin Ma (20328414)

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Synergy and trade-offs of sectoral water use at the provincial level. by Jianqin Ma (20328414)

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Synergy and trade-offs of sectoral water use at the regional level in China. by Jianqin Ma (20328414)

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Decoupling index of water footprint and GDP at the regional level in China. by Jianqin Ma (20328414)

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Supporting information. by Jianqin Ma (20328414)

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Decoupling index of water footprint and GDP at the provincial level. by Jianqin Ma (20328414)

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