Flow chart illustrating systematic review process. by Alemneh Mekuriaw Liyew (9216921)

Microscopic morphology of different asphalts (200 × , 1000 × , and 1500×). by Yi Wang (32470)

Climatic and geographic factors associated with TB incidence. by Alemneh Mekuriaw Liyew (9216921)

Liver ferroptosis caused by <i>C. sinensis</i> infection in mice by Haoyang Zhang (1706815)

The characteristics of 52 studies included in the systematic review and meta-analysis. by Alemneh Mekuriaw Liyew (9216921)

Tukey box plots of photo score by age group and color vision status. by Richard C. Trevino (22676460)

FTIR test results of asphalt. by Yi Wang (32470)

Quality assessment scores for 42 studies across each item of the three domains. by Alemneh Mekuriaw Liyew (9216921)

Forest plot of pooled effects of ecological factors associated with TB incidence. by Alemneh Mekuriaw Liyew (9216921)

Cardiovascular diseases ranked by DALYs in 1990 and 2021 for females (above) and males (below) in Chile. by Camilo Briones-Valdivieso (21567535)

Fig 5 - by Maryann S. Watson (16879881)

Identification of tryptophan metabolism-related gene CYP1B1 in sepsis. by Li-Hong Chen (610826)

<i>Schistosoma haematobium</i> and microhematuria prevalence. by Lydia Trippler (10136316)

Diversity of the fecal microbiome in normal and thin cows according to 16S rRNA gene sequencing data. by Bhuripit Saraphol (20855573)

Overall cardiovascular disease DALYs age-standardised rate over time 1990-2021 in Chile. by Camilo Briones-Valdivieso (21567535)

Knockdown of CYP1B1 inhibited monocytes activation and tryptophan metabolism. by Li-Hong Chen (610826)

Stacked bar plots illustrating the relative abundance distribution of fecal microbial communities in thin and normal cows. by Bhuripit Saraphol (20855573)

This is the data set that we used to reach the conclusions drawn in the manuscript with related metadata and methods. by Farayi Kaseke (19560197)

Boxplots of morphological parameters between racial groups. by Zoë Dinkel (21402766)

“…<p>(a) Area increased in AA samples, (b) Lacunarity decreased in AA samples, (c) Total length increased in AA samples, (d) Endpoints increased in AA samples, (e) Branchpoints increased in AA samples, (f) Box-counting fractal dimension increased in AA samples, (g) Fiber thickness increased in AA samples, with *: significant at FDR = 0.05, **: significant at FDR = 0.01.…”

Multivariate and clustering analysis of metabolomic data. by Bhuripit Saraphol (20855573)