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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,872 datasets
MAUI-seq is a multiplexed high-throughput amplicon sequencing method developed by Bryden Fields at the University of York. It uses unique molecular identifiers (UMIs) to improve error correction by exploiting variation among sequences associated with a single UMI. The method is designed for sensitive and flexible profiling of genetic diversity, applicable to microbial 16S rRNA profiling and environmental DNA metabarcoding.
AGSO's 1998 marine survey collected 4,788 line kilometers of water column geochemical 'sniffer' data to detect natural hydrocarbon seepage. The program, conducted from the vessel TSMV Pacific Conquest, covered the Northern Carnarvon Basin, Yampi Shelf, and Southern Bonaparte Basin. It recorded concentrations of methane and ethane, identifying areas of weak to strong seepage.
65 longitudinal transcriptomic samples from traumatic brain injury patients and 24 samples from healthy controls, collected at Day 1, Day 7, and Month 6 post-injury. The dataset was created by Abderrahmane Sadek and last updated in March 2026. It includes results from weighted gene co-expression network analysis, metabolomic inference, and epigenomic profiling.
Transcriptomic profiles of peripheral blood mononuclear cells (PBMCs) from 65 traumatic brain injury patient samples collected at Day 1, Day 7, and Month 6 post-injury, alongside 24 healthy controls. The dataset was created by Abderrahmane Sadek and last updated on March 19, 2026. It includes results from gene co-expression network analysis, metabolomic flux analysis, and epigenomic profiling.
65 longitudinal transcriptomic profiles of PBMCs from traumatic brain injury patients, collected at Day 1, Day 7, and Month 6 post-injury, alongside 24 healthy controls. The dataset includes gene co-expression network analysis, metabolomic inference, and epigenomic profiling, authored by Abderrahmane Sadek and published in 2026. It identifies a conserved monocyte activation program linked to clinical outcomes.
3,081 participants from the Diabetes Prevention Program cohorts were used to externally validate a machine learning model for diabetes progression. The model achieved an area under the ROC curve of 0.74 for predicting 3-year progression to type 2 diabetes. High-risk individuals had a 67% increased risk of microvascular complications.
A 3.0 GB genomic dataset published on figshare under a CC-BY-4.0 license. The resource was authored by Chongqing Wang and last updated on May 5, 2026. It is intended to enable precision breeding in global aquaculture and advance foundational teleost evolutionary studies.
Mitchell Shire in Australia provides a spatial dataset showing the location of buildings maintained by the local council. The dataset is published by the Mitchell Shire Council and was last updated on 26 April 2026. It is available in multiple geospatial formats including GeoJSON, SHP, WMS, and WFS.
Laying out a genomic analysis of Streptomyces melanosporofaciens strain STM-2, isolated from Chiayi County, Taiwan. The study includes a whole-genome sequence revealing 52 predicted biosynthetic gene clusters (BGCs) and identifies genes for antifungal enzymes like chitinases and proteases.
This dataset details the genomic analysis of Streptomyces melanosporofaciens strain STM-2, isolated from Chiayi County, Taiwan. It includes predictions of 52 biosynthetic gene clusters (BGCs) and identifies genes for antifungal enzymes like chitinases and proteases.
Genomic analysis results for Streptomyces melanosporofaciens STM-2, a strain isolated from Chiayi County, Taiwan. The analysis identified 52 biosynthetic gene clusters (BGCs) and specific genes for antifungal enzymes. It was generated by Muhammed Opoku Gyamfi using genome mining and comparative genomics.
Surfacing genomic analysis results for Streptomyces melanosporofaciens STM-2, a strain isolated from Chiayi County, Taiwan. The analysis identified 52 biosynthetic gene clusters (BGCs) and specific genes for antifungal enzymes like chitinases and proteases. It includes results from physiological characterization, genome mining, and comparative pangenomic analysis.
Genomic analysis results for Streptomyces melanosporofaciens STM-2, a strain isolated from Chiayi County, Taiwan. The analysis identified 52 biosynthetic gene clusters (BGCs) and specific genes for antifungal enzymes. It was created by Muhammed Opoku Gyamfi and last updated in March 2026.
A 1.9 MB Excel dataset published by Jiao Xiang on figshare in April 2026. It contains supplementary tables from a multi-omics integrated analysis exploring the molecular mechanisms of traditional Chinese medicine formulas in treating gastric intestinal metaplasia in rat models.
Dataenv is a dataset for trading forecasting, uploaded to Hugging Face by Jitendra12421. The dataset was last updated on May 22, 2026. Its specific contents and structure are described on its Hugging Face dataset page.
Replication Data for 'Motivated Reasoning or Cooperative Internationalism?' includes variables from a web-based survey conducted in Japan. The dataset was uploaded by author Masaki Hata to Harvard Dataverse on May 11, 2026. It is accompanied by analysis code, replication output, and a codebook.
Ramsar sites are wetland areas designated to meet the United Kingdom's commitments under the international Ramsar Convention. The dataset likely contains boundaries and attributes for these globally important sites in Scotland, which may extend into the marine environment. It is provided by the Government Digital Service via the eu_open_data platform.
A resource from the Government of Yukon addressing key factors for starting a placer mining operation. It covers capital costs, equipment types, government regulations, gold location, access methods, and water effluent standards. Row and column counts are unknown.
Ontario, Canada provides a dataset of buildings and structures represented as permanent landmark symbols. The Government of Ontario maintains this data, which requires GIS software for use and was last updated in March 2026. Symbolized features include buildings with no side exceeding 50 meters at 1:20,000 scale or 30 meters at 1:10,000 scale.
2026-03-25 updated data from the Ontario Ministry of Natural Resources, integrating records from the Waste Management Information System (WMIS) with spatial data for Waste Disposal Sites. The dataset tracks multiple site types including Compost Disposal, Hazardous Waste Disposal, Household Waste Disposal, and Industrial Waste Disposal.