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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
22,530 datasets
656 patients from the DIRECT-MT trial provide data comparing health-related quality of life outcomes between two stroke treatment strategies. The dataset includes EQ-5D-5L index scores at 90 days, analyzed by baseline stroke severity and functional outcome strata. Renjun Gu authored this secondary analysis, with data last updated in May 2026.
A 4948-participant NHANES analysis links insulin resistance to periodontitis risk (Odds Ratio=1.22). This dataset supports a murine model study investigating IL-17A's role in immune cell infiltration and bone loss, published by Chengzhe Wang in 2026. It includes bulk RNA sequencing, flow cytometry, and micro-CT data.
Sequencing data compares fungal communities and soil enzyme activities in the rhizosphere of diseased and healthy Lilium brownii var. viridulum plants. The dataset includes high-throughput sequencing results and measurements of urease, sucrase, and acid phosphatase activities from a field under six years of continuous cultivation. Author wei long uploaded the data to figshare under a CC-BY-4.0 license, with a last update in June 2026.
OpenStreetMap exports provide building footprints across Singapore, including every feature tagged as a building. The Humanitarian OpenStreetMap Team (HOT) maintains this data, which was last updated on 2026-05-14. Data completeness varies by region, with urban areas typically better mapped than remote ones.
EPI_SET contains identifiers for SARS-CoV-2 sequences used in a study linking genetic distance to vaccine effectiveness. Jiye Kwon authored the dataset, which is associated with 10,156 whole genome sequences from Connecticut, USA, collected between April 2021 and July 2024. The dataset was last updated on May 26, 2026.
Building footprints across North Korea exported from OpenStreetMap. The data includes every feature tagged as a building, from residential homes through hospitals, schools, and places of worship. It was contributed by the Humanitarian OpenStreetMap Team and last updated on 2026-05-14.
November 15 to December 20, 2023, the RV Investigator voyage IN2023_V07 collected Acoustic Doppler Current Profiler (ADCP) data south of Tasmania. The data were collected using RDI Ocean Surveyor OS150kHz and WH75kHz instruments, processed with the Common Ocean Data Access System (CODAS), and archived by CSIRO's National Collections and Marine Infrastructure Information and Data Centre.
A retrospective analysis of BRCA1 and BRCA2 mutations in 40 archived prostate tissue samples from the United Arab Emirates and Arab population, collected between 2011 and 2022. The dataset, authored by Zainab M. Al Shareef and shared under a CC-BY-4.0 license, reports mutation prevalence, zygosity, and associations with tumor grade. It was last updated on 2026-05-26.
47.5% of 40 analyzed prostate tissue samples from UAE and Arab patients harbored BRCA1 mutations, while 55% had BRCA2 mutations. This dataset, created by Zainab M. Al Shareef and last updated in 2026, presents a retrospective analysis of archived tissues from 2011 to 2022. It details mutation prevalence, zygosity, and novel variants linked to aggressive, high-grade prostate cancer.
OpenStreetMap exports contain every feature tagged as a building across South Korea, from residential homes to hospitals and schools. Completeness varies by region, with urban areas usually well-mapped and remote areas potentially incomplete. The Humanitarian OpenStreetMap Team (HOT) maintains this export on HDX, last updated in May 2026.
41 Mb of draft nuclear genome assembly for the apicomplexan parasite Margolisiella madlensis, infecting the bay scallop Argopecten irradians. The dataset includes structural annotation for 11,867 protein-coding genes, functional annotation results, and phylogenomic files for evolutionary placement. Denis Grouzdev published this data on figshare in May 2026 to accompany the first genome descriptor for the Marosporida class.
AgrOmicSo software developers provide a comparison of variant call results from three distinct algorithms: GATK, DeepVariant, and VarScan. The dataset is a 5.5 KB XLS file, last updated on June 1, 2026, and shared under a CC-BY-4.0 license by author Dong-Jun Lee. It likely contains results from the software's analysis of large-scale next-generation sequencing data.
AgrOmicSo is a software solution providing a user-friendly graphical interface for executing large-scale next-generation sequencing (NGS) data analysis pipelines on a remote high-performance computing server. The platform integrates tools for quality control, read mapping, and variant calling, supporting three distinct algorithms: GATK, DeepVariant, and VarScan. The dataset, authored by Dong-Jun Lee and last updated in June 2026, is a 9.5 KB Excel file describing this comparison.
DSE-YOLO11, a lightweight object detector, improved recall from 0.744 to 0.811 and mAP50 from 0.810 to 0.856 on the RAD dataset. This 5.5 KB Excel file contains external validation results for the model on the BDD100K dataset, authored by Yange Chen and last updated in June 2026. The data provides preliminary performance metrics for detecting traffic elements in complex road scenes.
Supplementary data from an integrated multi-omics study identifies candidate biomarkers for abdominal aortic aneurysm (AAA). The analysis integrates genetic, transcriptomic, and proteomic evidence from public microarray datasets using Mendelian randomization and machine learning. Four genes—PLAU, CD58, PCYOX1, and THBS4—were prioritized, with PLAU showing strong colocalization and discriminatory accuracy.
A transcriptomic dataset from a study analyzing bulk and single-cell RNA-sequencing data from pediatric asthma patients. The dataset, published by Yuchen Wen under a CC-BY-4.0 license, focuses on identifying HLA-DPA1 and HLA-DPB1 as candidate key genes linked to macrophage immune-metabolic dysregulation. It was last updated on June 3, 2026.
A transcriptomic dataset from figshare, authored by Yuchen Wen and last updated in June 2026. It contains results from a multi-omics analysis of pediatric asthma, integrating bulk RNA-seq, single-cell RNA-seq, and experimental validation. The data identifies HLA-DPA1 and HLA-DPB1 as key downregulated genes linked to macrophage immune-metabolic dysregulation.
19.8 KB of transcriptomic data from airway epithelium and peripheral blood mononuclear cells of pediatric asthma patients. The dataset, authored by Yuchen Wen and last updated in June 2026, was generated by analyzing bulk and single-cell RNA-seq data from public repositories GSE152004, GSE65204, and GSE254127. It focuses on identifying HLA-DPA1 and HLA-DPB1 as candidate key genes linked to macrophage immune-metabolic dysregulation.
A transcriptomic dataset from a 2026 study analyzing airway epithelium and immune cells from pediatric asthma patients. The data was generated by Yuchen Wen and includes results from bulk RNA-seq, single-cell RNA-seq, and machine learning analyses. It focuses on the downregulation of HLA-DPA1 and HLA-DPB1 genes and their link to macrophage immune-metabolic dysregulation.
A 1.6 MB CSV file containing results from a multi-level transcriptomic analysis of pediatric asthma. The dataset, authored by Yuchen Wen and last updated in June 2026, integrates bulk RNA-seq, single-cell RNA-seq, and experimental validation to identify candidate key genes. It was published on figshare under a CC-BY-4.0 license.