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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,533 datasets
Shotgun metagenomic sequencing data from fecal samples of 1,651 commercial boars from three breeds (Duroc, Landrace, Large White) raised on three pig farms. The dataset, authored by Zikang Hu and last updated in May 2026, reveals differences in microbial composition associated with breed and age stage. It includes results from PERMANOVA and MaAsLin2 analyses identifying enriched bacterial taxa.
Forty families of North American Atlantic salmon were experimentally challenged with Infectious Salmon Anemia Virus (ISAV) to assess family-level survival and resistance. The dataset includes viral load measurements via RT-qPCR and host gene expression data from kidney, spleen, heart, and gill tissues, collected during early-onset, peak mortality, and resolution phases of disease. It was authored by Amber E. Johnston and last updated in May 2026.
760 nasopharyngeal swab samples collected from commercial beef feedlots in western Canada were used to evaluate diagnostic tests for bovine respiratory disease pathogens and antimicrobial resistance. The study, authored by Simon J. G. Otto, compares traditional culture, long-read metagenomic sequencing, and recombinase polymerase amplification. It provides estimates of clinical diagnostic performance, including sensitivity and specificity for detecting key bacteria and resistance genes.
760 nasopharyngeal swab samples from commercial feedlot calves in western Canada were analyzed using three diagnostic methods. This large-scale field evaluation, conducted as part of Canadian surveillance, provides the first performance estimates for long-read metagenomic sequencing in a commercial lab setting. The work by Simon J. G. Otto, published in 2026, compares culture, metagenomics, and recombinase polymerase amplification for detecting key pathogens and resistance genes.
Western Canadian beef feedlots provided 760 nasopharyngeal swabs collected by private veterinarians. The dataset compares detection of key bacterial pathogens and antimicrobial resistance genes using culture, long-read metagenomic sequencing, and recombinase polymerase amplification. The work was authored by Simon J. G. Otto and last updated in May 2026.
Data Sheet 3 contains results from a study evaluating diagnostic tests for bovine respiratory disease (BRD) pathogens and antimicrobial resistance (AMR) in commercial feedlot cattle. The dataset, authored by Simon J. G. Otto and last updated in May 2026, includes results from 760 nasopharyngeal swabs analyzed via culture, long-read metagenomic sequencing, and recombinase polymerase amplification (RPA). This work provides performance estimates for these laboratory tests to support antimicrobial stewardship in beef production.
Western Canadian beef feedlots provided 760 nasopharyngeal swabs for a field evaluation of diagnostic tests. The study compares traditional culture, long-read metagenomic sequencing, and recombinase polymerase amplification for detecting key bacterial pathogens and antimicrobial resistance genes. Simon J. G. Otto authored the work, which was last updated in May 2026.
A 2026 study by Erxing Tao investigating common molecular mechanisms in neurofibromatosis tumorigenesis. The dataset likely contains results from mutational analyses of NF1 and NF2 genes in 15 patients and proteomic comparisons identifying 159 and 180 differentially expressed proteins in NF1 and NF2 tumors, respectively. It was published under a CC-BY-4.0 license on figshare.
27.4 MB of data supporting a phylogenetic study of eight beetle genera. The dataset includes specimen metadata, assembled mitochondrial genome sequences, phylogenetic trees, and morphological images. It was authored by Xiumin Li and last updated on June 4, 2026.
Laboratory experimental data on temperate crustose coralline algae assemblages exposed to combined ocean warming and acidification under low, medium, and high emissions scenarios. The dataset includes measurements of net calcification, net photosynthesis, relative growth rates, and percentage bleaching. It was published by the Australian Ocean Data Network and last updated on 2026-06-04.
212 lactylation-associated differentially expressed genes were identified from three transcriptomic cohorts totaling 53 HNSCC patients and 53 controls. A Mendelian randomization analysis established CD44 and APP as genetic causal risk factors for head and neck squamous cell carcinoma. The dataset, authored by Xi Zhang and last updated in May 2026, presents results from this integrated lactylation-proteomics and genomics study.
Xi Zhang's dataset presents results from an integrated lactylation proteomics, transcriptomics, and Mendelian randomization analysis of head and neck squamous cell carcinoma. The data likely contains causal risk genes identified from three public transcriptomic cohorts totaling 53 HNSCC and 53 control samples, overlapped with a compiled set of 2,124 lactylation-related genes. The dataset was last updated on 2026-05-28.
212 lactylation-associated differentially expressed genes were analyzed from three public transcriptomic cohorts totaling 53 HNSCC patients and 53 controls. The dataset, authored by Xi Zhang and last updated in May 2026, presents results from an integrated lactylation proteomics, transcriptomics, and Mendelian randomization analysis. It identifies CD44 and APP as causal genetic risk factors for head and neck squamous cell carcinoma.
Xi Zhang published a dataset on figshare in May 2026 supporting a study on head and neck squamous cell carcinoma (HNSCC). The data underpins an integrated lactylation proteomics, transcriptomics, and Mendelian randomization analysis. It likely contains results identifying CD44 and APP as causal therapeutic targets.
Xi Zhang published a dataset on figshare in May 2026 containing results from an integrated lactylation-Mendelian randomization analysis of head and neck squamous cell carcinoma (HNSCC). The 5.8 MB Excel file likely contains statistical results identifying CD44 and APP as causal risk genes, derived from three public transcriptomic cohorts (53 HNSCC vs. 53 controls) and a set of 2,124 lactylation-related genes. The analysis framework merged lactylation proteomics, transcriptomics, and Mendelian randomization with validation in The Cancer Genome Atlas and cell lines.
Xi Zhang's dataset presents results from an integrated lactylation proteomics, transcriptomics, and Mendelian randomization analysis of head and neck squamous cell carcinoma. The data likely contains findings from differential expression analysis across three public transcriptomic cohorts (53 HNSCC vs. 53 controls) and Mendelian randomization results identifying CD44 and APP as causal risk genes. The dataset was last updated on 2026-05-28.
A multi-omics analysis identifies CD44 and APP as causal risk factors for head and neck squamous cell carcinoma. The dataset results from integrating lactylation proteomics, transcriptomics from three public cohorts (53 HNSCC vs. 53 controls), and Mendelian randomization analysis. It was authored by Xi Zhang and shared on figshare under a CC-BY-4.0 license in May 2026.
A 2026 export of building footprints across Taiwan from OpenStreetMap. It includes every feature tagged as a building, from residential homes to hospitals, schools, and places of worship. The data is provided by the Humanitarian OpenStreetMap Team (HOT) and is useful for population estimation, damage assessment, and urban planning.
OpenStreetMap exports provide building footprints across South Sudan, including features tagged as residential, hospitals, schools, and places of worship. The Humanitarian OpenStreetMap Team (HOT) maintains this export, last updated on 2026-05-15. Completeness varies by region, with urban areas typically better mapped than remote ones.
OpenStreetMap exports provide building footprints across Denmark, including features tagged as residential homes, hospitals, schools, and places of worship. The Humanitarian OpenStreetMap Team (HOT) maintains this export, last updated on 2026-05-15. Completeness varies by region, with urban areas typically well-mapped and remote areas potentially incomplete.