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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,826 datasets
Bathymetry survey data acquired by Deakin University Marine over two days in December 2015. The survey was conducted onboard the Motor Vessel Yolla using a Kongsberg EM2040c instrument. The data is hosted by the Australian Ocean Data Network.
Results from a systematic multi-omics Mendelian randomization analysis linking proteomic and transcriptomic quantitative trait loci to genome-wide association studies of four glomerulonephritis subtypes. The dataset was authored by Guoqiang Li and last updated on April 16, 2026. It likely contains statistical results from Bayesian colocalization, replication, and meta-analysis.
1.6 MB of Excel data containing results from a multi-omics Mendelian randomization analysis of glomerulonephritis subtypes. The dataset, authored by Guoqiang Li and last updated in April 2026, includes proteomic and transcriptomic quantitative trait loci (pQTL/eQTL) applied to GWAS for acute, chronic, IgA nephropathy, and membranous nephropathy. Bayesian colocalization, replication in the FinnGen cohort, and translational annotations were used to identify potential therapeutic targets.
Results from a systematic multi-omics Mendelian randomization analysis of four glomerulonephritis subtypes. The dataset includes proteomic and transcriptomic quantitative trait loci applied to GWAS data, with replication in the FinnGen cohort. It was authored by Guoqiang Li and last updated on April 16, 2026.
558.2 KB of proteomic and transcriptomic quantitative trait loci results from a Mendelian randomization analysis of glomerulonephritis subtypes. The dataset, created by Guoqiang Li and last updated April 16, 2026, likely contains statistical evidence for causal genes like HCK and IL6R. Bayesian colocalization and replication in the FinnGen cohort were used to strengthen causal inference.
A multi-omics Mendelian randomization analysis dataset linking proteomic and transcriptomic quantitative trait loci to genome-wide association studies for four glomerulonephritis subtypes. The dataset includes results from Bayesian colocalization, replication in the FinnGen cohort, and translational annotations for potential therapeutic targets. Author Guoqiang Li published the 161.8 KB Excel file on figshare in April 2026.
A 1.0 MB Excel file uploaded on April 16, 2026 by Guoqiang Li contains results from a systematic multi-omics Mendelian randomization analysis. The study used proteomic and transcriptomic quantitative trait loci resources applied to genome-wide association studies of four glomerulonephritis subtypes: acute, chronic, IgA nephropathy, and membranous nephropathy. It includes replication and meta-analysis results from the FinnGen cohort and translational annotations.
Guoqiang Li published a dataset on figshare in April 2026. The dataset likely contains a list of SNPs (Single Nucleotide Polymorphisms) excluded during a Mendelian randomization analysis of glomerulonephritis subtypes. The file is 11.5 KB in size.
A systematic multi-omics Mendelian randomization analysis by Guoqiang Li, published on figshare in April 2026. It integrates proteomic and transcriptomic quantitative trait loci with genome-wide association studies for four glomerulonephritis subtypes. The study identifies potential therapeutic targets and includes replication analysis using the FinnGen cohort.
Polygons defining Ramsar wetland areas in Victoria, updated to improve accuracy. The layer has been realigned and updated to match current VICMAP parcel, road, hydro, and water area data, and uses high-resolution digital aerial photography to achieve a precision of 1:25,000. It is provided by the Department of Energy, Environment and Climate Action under a CC-BY-4.0 license.
London Borough of Barnet's dataset provides the monthly staff establishment headcount and full-time equivalent (FTE) figures for the 2017/18 financial year. It is intended for comparison purposes and includes an Excel version with visualizations alongside the raw data. The dataset is hosted on multiple open data platforms, indicating its public availability.
All highway-rail crossings in the United States are reported to the Federal Railroad Administration on Form FRA F 6180.71. Each crossing location has a unique U.S. DOT Grade Crossing Identification Number. The dataset is provided by the Department of Transportation and was last updated on March 26, 2026.
U.S. highway-rail crossing locations are reported by railroads and state DOTs to the Federal Railroad Administration. Each crossing has an assigned U.S. DOT Grade Crossing Identification Number. The dataset is the raw source data, replacing a legacy download system.
Source data for a study on T7 RNA polymerase regulatory tools for cell-free systems. The dataset is 16.5 MB in size, authored by Pao-Wan Lee, and was last updated on May 11, 2026. It is available under a CC-BY-4.0 license on the figshare platform.
A high-quality single-cell RNA sequencing dataset characterizing cellular diversity in healthy equine skin. Amanda Raine generated this foundational resource from skin biopsies of two clinically healthy horses, processed using the Singleron GEXSCOPE platform and aligned to the EquCab3.0 genome. The dataset, updated in April 2026, supports studies of equine skin biology, disease comparisons, and investigations of immune responses and tissue homeostasis.
Jiabin Wang's research data from 2026 defines LACES, a conserved cellular pathway that accelerates membrane protein delivery in response to microbial cues. The dataset includes video and document files illustrating the pathway's function in Caenorhabditis elegans and mammalian epithelia. It demonstrates how phenazine-1-carboxamide triggers a VPS-34-dependent route to improve host survival during infection.
Complete mitochondrial DNA sequences for two species of tufted-tailed rats endemic to Madagascar. The dataset includes 7 assemblies for Eliurus webbi and 3 for Eliurus minor, with genome lengths ranging from 16,296 to 16,313 nucleotides. Assembled by Elise N. Paietta and published on figshare in April 2026, these are the first mitogenomes reported for the rodent subfamily Nesomyinae.
Automatic Identification System (AIS) data records vessel location and characteristics in U.S. and international waters in real-time. The National Oceanic and Atmospheric Administration and the Bureau of Ocean Energy Management provide this 2018 dataset, filtered to a one-minute frequency and subset to the U.S. Exclusive Economic Zone. The data originates from the U.S. Coast Guard's national network of AIS receivers.
Automatic Identification System (AIS) data records the location and characteristics of vessels in U.S. and international waters in real-time. The dataset is a filtered subset from the U.S. Coast Guard's national network, processed to a one-minute frequency and covering the U.S. Exclusive Economic Zone. It is made available by NOAA and BOEM for coastal management purposes.
Automatic Identification System (AIS) data from the U.S. Coast Guard's national network, filtered to a one-minute frequency and subset to the U.S. Exclusive Economic Zone. The dataset, made available by NOAA and BOEM, contains real-time location and descriptive broadcasts from vessels for navigation safety and coastal management. The records are from 2016.