Loading...
Loading...
DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,852 datasets
9,095 Chinese participants aged ≥40 years were recruited from five regional communities of Luzhou city between May and December 2011. This dataset likely contains results from the REACTION study analyzing the association between the cholesterol, high-density lipoprotein, and glucose (CHG) index and chronic kidney disease risk. The author is Xue Bai, and the data was last updated on 2026-05-11.
189 sorghum recombinant inbred lines were analyzed using LC-MS untargeted metabolomics to investigate antimicrobial activity against Clostridium perfringens. The study identified 13 metabolites most relevant for separating high and low antimicrobial activity lines and mapped five metabolites to a major-effect QTL on chromosome 1. This dataset, authored by María Antonella Conti and last updated in 2026, provides insight into the metabolic basis of antimicrobial activity in sorghum for poultry feed development.
Jinwoo Ahn published a dataset on figshare in 2026 describing the novel bacterial species Neobacillus nitrireducens sp. nov. The dataset includes a DOCX file detailing the isolation of strain OS1-33T from apple orchard soil in Iksan-si, Republic of Korea, and its genomic and physiological characterization. The file size is 377.4 KB.
A 24.1 MB dataset by Weiling Huang from 2026 contains summary statistics from a bidirectional two-sample Mendelian randomization study. It examines the causal relationship between genetically predicted kidney function traits and speech reception threshold using data from the CKDGen Consortium and UK Biobank. The study found no robust genetic evidence supporting a causal link, suggesting observed epidemiological associations may stem from shared systemic or environmental factors.
A bibliometric analysis of 1,240 publications on targeted therapy for bladder cancer, comprising 912 English and 328 Chinese articles from 1994 to 2024. The dataset was compiled by Yijin Pan using searches in Web of Science, PubMed, Wanfang, and CNKI, and includes visualizations of publication trends, country/institution contributions, and keyword clusters.
Yijin Pan compiled bibliometric data on 1,240 publications (912 English, 328 Chinese) related to targeted therapy for bladder cancer from 1994 to 2024. The dataset includes analyses of publication trends, productive countries, institutions, authors, journals, and keyword clusters. It was published on figshare under a CC-BY-4.0 license.
Caroline J. Beatty's dataset contains Fitbit-derived sleep metrics for 28 participants newly diagnosed with obstructive sleep apnea (OSA). The data was collected over a 12-month period, including a 6-month weight-loss intervention in a step-wedge design. It includes variables such as sleep duration, sleep regularity, and sleep efficiency, analyzed against weight and weight change.
Research data supporting a study on gut–immune signaling in sepsis, identifying specific microbial species and metabolites linked to inflammatory pathways. The dataset includes results from network pharmacology, single-cell transcriptomics, and molecular simulations. It was authored by Chao Li and last updated on 2026-05-31.
The Roebuck Basin on Australia's North West Shelf contains Paleozoic to recent sedimentary rocks. This dataset provides U-Pb detrital zircon dating analyses from offshore petroleum well cuttings, aiming to clarify sediment origins and reservoir quality for the Triassic Keraudren deltas. The data was published via the Australian Ocean Data Network and was last updated on 2026-06-04.
1,523 Klebsiella pneumoniae isolates from 27 neonatal units in 13 countries across Africa and South Asia, collected between 2013 and 2023. The dataset, authored by Erkison Ewomazino Odih and shared via figshare, was used to estimate the proportion of neonatal sepsis attributable to nosocomial transmission. It includes inferred transmission clusters and antimicrobial resistance gene data.
1,523 Klebsiella pneumoniae isolates from neonatal sepsis cases across 27 units in 13 African and South Asian countries between 2013 and 2023. The dataset includes whole-genome sequence data used to estimate nosocomial transmission clusters and antimicrobial resistance gene profiles. It was created by Erkison Ewomazino Odih and shared under a CC-BY-4.0 license.
1,523 Klebsiella pneumoniae isolates from 27 neonatal units in 13 African and South Asian countries collected between 2013 and 2023. The dataset, created by Erkison Ewomazino Odih, identifies 156 nosocomial transmission clusters, estimating that 68.0% of neonatal infections were part of these clusters. It includes data on multi-locus sequence types and antimicrobial resistance gene carriage.
Shotgun metagenomic sequencing and amino acid-targeted metabolomics data from fecal samples of 19 children with comorbid allergic rhinitis and functional constipation (ARFC) and 16 healthy controls. The dataset was created by Hui Wu and last updated in May 2026. It includes results from integrative analysis, correlation networks, and a machine learning model.
35 fecal samples from 19 children with comorbid allergic rhinitis and functional constipation (ARFC) and 16 healthy controls, analyzed via shotgun metagenomic sequencing and amino acid-targeted metabolomics. The dataset was created by Hui Wu and last updated on 2026-05-26. It includes results of integrative analysis, correlation networks, and a machine learning model.
Shotgun metagenomic sequencing and amino acid-targeted metabolomics data from fecal samples of 35 children. The dataset compares 19 children with comorbid allergic rhinitis and functional constipation (ARFC) against 16 age-matched healthy controls. It was created by Hui Wu and last updated on 2026-05-26.
Hui Wu's dataset contains shotgun metagenomic sequencing and amino acid-targeted metabolomics data from fecal samples of 19 children with comorbid allergic rhinitis and functional constipation (ARFC) and 16 healthy controls. The data was last updated on 2026-05-26. It includes microbial community structure, differentially abundant taxa, metabolic profiles, and integrative analyses linking microbiota and metabolites to clinical allergy markers like serum IgE.
Lingmin Jiang published a 460.3 KB PDF on figshare in May 2026 detailing research on pancreatic ductal adenocarcinoma (PDAC). The study explores the tumor immune microenvironment following low-intensity electric stimulation (LIES) and evaluates synergistic antitumor effects with anti-PD-1 blockade. Methods include orthotopic mouse models, in vitro assays, flow cytometry, immunofluorescence, and single-cell RNA sequencing.
Mouse orthotopic pancreatic ductal adenocarcinoma models were used to evaluate immune modulation and macrophage polarization effects of low-intensity electric stimulation. The dataset includes results from flow cytometry, multicolor immunofluorescence, and single-cell RNA sequencing, generated by Lingmin Jiang and last updated on 2026-05-19. Anti-PD-1 blockade was found to reverse tumor growth and amplify CD8+ T cell activation in this context.
A 2026 study by Lingmin Jiang investigates the synergistic effects of low-intensity electric stimulation (LIES) and anti-PD-1 blockade on pancreatic ductal adenocarcinoma (PDAC) in mouse models. The dataset likely contains results from orthotopic PDAC models, in vitro assays, and immune profiling via flow cytometry, immunofluorescence, and single-cell RNA sequencing. It is published under a CC-BY-4.0 license on figshare.
A research data sheet from a study investigating the effects of low-intensity electric stimulation (LIES) and anti-PD-1 blockade on pancreatic ductal adenocarcinoma (PDAC) in mouse models. The study utilized orthotopic PDAC models, in vitro assays, and profiling techniques including flow cytometry, immunofluorescence, and single-cell RNA sequencing. The dataset was authored by Lingman Jiang and last updated on 2026-05-19.