This figure shows the forest plot for the multivariable logistic regression found in Table 1. by Scott J. Halperin (17835402)

Multilevel logistic regression analysis of individual and community level factors. by Mulugeta Wassie (10803155)

Subjects:

Socio- demographic characteristics of study participants. by Mulugeta Wassie (10803155)

Subjects:

Model comparison and random effect. by Mulugeta Wassie (10803155)

Subjects:

Manuscript data. by Khalid A. Al-Gaadi (2826632)

“…Moreover, the total tomato fruit yield also decreased significantly at salinity-3 compared to salinity-1.…”

Relative abundance of bacteria phyla (a) and classes (b) in root zone soil of different tea varieties. by Jun Sun (48981)

Supplementary Material for: Adjunctive active vitamin D (AVD) decreases kidney function during treatment of secondary hyperparathyroidism (SHPT) with extended-release calcifediol (... by figshare admin karger (2628495)

Differences in total Tau and p-Tau Thr231 following maternal Pg-OMV exposure. by Adrienne J. Bradley (20861948)

“…Data show mean + /- SEM.</p>…”

A comparison of Paraquat concentrations ^a in various types of plants. by Vivat Keawdounglek (9710710)

Gene profiles of leaf and root endophytic bacterial communities of <i>Synsepalum dulcificum</i> predicted using Tax4Fun 2. by Rabiath F. R. Adigoun (14189090)

Relative abundance (%) of the major endophytic bacterial phyla/classes identified in the leaves (A) and roots (B) of 29 accessions of <i>Synsepalum dulcificum</i> sampled in Benin. by Rabiath F. R. Adigoun (14189090)

<b>Data for s</b><b>easonal variations in coral lipids and their significance for energy maintenance in the </b><b>South China Sea</b> by Hongyan Mo (19721569)

“…<p dir="ltr">In recent years, the intensification of global warming and extreme climate have led to an increase in the frequency and severity of coral bleaching. Coral bleaching means a decrease in symbiotic zooxanthellae density (ZD). …”

Boxplots display the median (as the central tendency) and the interquartile range (25th to 75th percentiles) as the bottom and top edges of the box. by Manal Ali Ahmad (16868808)

RT-qPCR evaluation of MYD88, NLRP3, and NFκβ in GA 18.5 pup brains. by Adrienne J. Bradley (20861948)

Data cleaning and preparation algorithm. by Ayana Ablayeva (22103708)

“…<div><p>Background</p><p>Liver cancer is the third-deadliest cancer globally, significantly affecting the Asian population, which accounts for 70% of cases. …”

Participant characteristics by village. by Tyler M. Barrett (20846174)

“…Nearly all participants reported perceiving increases in temperature (94%) and decreases in rainfall (91%) in the previous five years, and most reported that they expect to have much less (57%) or somewhat less (35%) food to feed their families in the future due to changes in temperature and rainfall. …”

Renal outcomes of both treatment groups. by Marwan El-Deyarbi (21688492)

“…Participants in the multifactorial group achieved a significant mean difference in low-density lipoprotein cholesterol levels (mean difference = −0.14, 95% CI: −0.27–0.001, P < 0.03), and significant adjusted mean difference of eGFR levels difference (3.93 mL/min/1.73 m², 95% CI: 1.27–6.58, P < 0.01) at study completion compared to those in the control group. …”

Data_GDP/ Ndvi. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Flow chart of the study. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Example of manual identification. by Qianhong Mao (22305184)

“…The findings include the following: (1) from 2010 to 2022, the spatial structure of urban-fringe-rural areas in Suzhou changed considerably, with 69.04% rural areas transformed into fringe areas, and 50.83% fringe areas developed into urban areas; (2) based on transition process, the region was further divided into urban maintenance, urban expansion, fringe maintenance, fringe expansion, and rural retention areas. Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”