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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
27,749 datasets
Supplementary material for the academic article 'Blockade by Fire: China’s Potential to Blockade Taiwan Using Missile Attacks on Ports' published in International Security in Spring 2026. The data likely contains model inputs, outputs, or supporting calculations for the military strategy simulation described in the paper. The material was deposited by the journal's dataverse on May 8, 2026.
Replication data for a study reporting a cascade of even-denominator fractional quantum Hall states at fillings ν = -5/2, -7/2, -9/2, -11/2, and -13/2 in mixed-stacked pentalayer graphene. The dataset, authored by Kai Liu and hosted on Harvard Dataverse, was last updated on 2026-04-20. It supports the identification of quantum phase transitions and possible Moore–Read-type pairing.
Supplementary Material 1 from a study comparing inflammatory signaling effects on the Parkinson's disease-associated kinase LRRK2 between human and mouse models. The dataset, published on figshare by Alexandra Beilina under a CC-BY-4.0 license, is a 25.4 MB ZIP file. Its specific contents, likely tabular data, require verification after download.
Supplementary material from a 2026 study investigating plant stress response mechanisms. The dataset, published by Xiaoqian Sun on figshare, likely contains transcriptomic data related to the photosynthetic system of Cycas panzhihuaensis under combined high-temperature and drought conditions. It is a 63.5 KB Excel file released under a CC-BY-4.0 license.
Supplementary material for a comparative genomic analysis of venom genes in two closely related cone snail species. The dataset is a 2.3 MB ZIP file published on figshare by Ana Herráez-Pérez under a CC-BY-4.0 license and last updated on 2026-04-27. Its specific contents, such as row count and column definitions, are not detailed in the available metadata.
A UKCCSRC Call 2 project collected combustion and heat transfer data from a 250 kW oxy-coal furnace in Sheffield and a 35 MW oxy-coal furnace in China. The project, led by the British Geological Survey, aimed to validate computational fluid dynamics (CFD) models for future oxy-fuel power plant technology. The data was presented at a poster reception in London on June 27, 2016.
A project poster from the UKCCSRC Call 2 presents preliminary findings on developing validated shelter and escape models for CO2 releases from CCS infrastructure. The work describes analytical and Computational Fluid Dynamic models to calculate CO2 concentration changes within buildings engulfed by a dispersing cloud. The poster was presented at a CSLF reception in London on 27.06.16 by the British Geological Survey.
2026 research data integrates metabolomic and transcriptomic profiling of five alfalfa flower types, from white to four shades of purple. The dataset identifies 580 common significant differentially expressed genes (CSDEGs) and quantifies key anthocyanin pigments like delphinidin-3,5-O-diglucoside. It was created by Hongqi Du to investigate the regulatory mechanisms underlying quantitative flower color variation.
Integrated metabolomic and transcriptomic data profiles five alfalfa flower types (white and four purple shades). The analysis identified 580 common significant differentially expressed genes (CSDEGs) and quantified key anthocyanin pigments like delphinidin-3,5-O-diglucoside. The dataset, authored by Hongqi Du and shared in 2026, supports research into the genetic and biochemical mechanisms of flower color variation.
25.0 MB of integrated metabolomic and transcriptomic data investigates the purple color gradient in alfalfa flowers. The study quantifies two key anthocyanins, delphinidin-3,5-O-diglucoside and malvidin-3,5-O-diglucoside, across five flower types from white to dark purple. It identifies 580 common significant differentially expressed genes, including 24 transcription factors, linking gene expression to pigment accumulation.
Integrated metabolomic and transcriptomic data profiles five alfalfa flower types, from white to four shades of purple. The analysis identified 580 common significant differentially expressed genes (CSDEGs) and quantified key anthocyanin pigments like delphinidin-3,5-O-diglucoside. The dataset was created by Hongqi Du and published on figshare in March 2026.
Integrated metabolomic and transcriptomic data profiles five alfalfa flower types, from white to four shades of purple. The analysis identified 580 common significant differentially expressed genes and quantified key anthocyanin pigments like delphinidin-3,5-O-diglucoside. The dataset supports investigation into the molecular mechanisms underlying quantitative flower color variation.
Integrated metabolomic and transcriptomic profiling data investigates the purple color gradient in alfalfa flowers. The analysis compares five flower types, from white to four shades of purple, identifying 108 regularly expressed genes and quantifying key anthocyanin pigments. The dataset was created by Hongqi Du and published on figshare in March 2026.
580 common significant differentially expressed genes (CSDEGs) were identified across five alfalfa flower types, from white to four shades of purple. The metabolomic data quantifies key anthocyanins like delphinidin-3,5-O-diglucoside and malvidin-3,5-O-diglucoside across the color gradient. The dataset, authored by Hongqi Du and shared in 2026, integrates these transcriptomic and metabolomic analyses to explore purple color formation mechanisms.
Integrated metabolomic and transcriptomic data profiles five alfalfa flower types, from white to four shades of purple. The study quantifies anthocyanin and carotenoid contents via LC-ESI-MS/MS and identifies 580 common significant differentially expressed genes (CSDEGs) from RNA-seq analysis. It was authored by Hongqi Du and published on figshare in 2026.
Integrated metabolomic and transcriptomic data profiles five alfalfa flower types, from white to four shades of purple. The analysis identified 580 common significant differentially expressed genes and quantified key anthocyanin pigments like delphinidin-3,5-O-diglucoside. The dataset supports research into the molecular mechanisms underlying quantitative flower color variation.
580 common significant differentially expressed genes (CSDEGs) were identified across five alfalfa flower types, from white to four shades of purple. The metabolomics data quantifies two key anthocyanins, delphinidin-3,5-O-diglucoside and malvidin-3,5-O-diglucoside, whose content increases with flower darkness. This dataset from Hongqi Du, published in 2026, integrates transcriptomic and metabolomic analyses to investigate the regulatory mechanisms of purple color variation.
Integrated transcriptomic and metabolomic data profiles five alfalfa flower types (white and four purple shades) to investigate color formation. The analysis identified 580 common significant differentially expressed genes (CSDEGs) and quantified key anthocyanin pigments like delphinidin-3,5-O-diglucoside. The dataset was created by Hongqi Du and published on figshare in March 2026.
Integrated transcriptomic and metabolomic data profiles five alfalfa flower types (white and four purple shades) to investigate color formation. The analysis identified 580 common significant differentially expressed genes (CSDEGs) and quantified key anthocyanin pigments like delphinidin-3,5-O-diglucoside. The dataset, created by Hongqi Du and shared in 2026, supports research on the genetic and biochemical basis of quantitative flower color variation.
Integrated metabolomic and transcriptomic profiling analyzes five alfalfa flower types, from white to four shades of purple. The study quantifies anthocyanin and carotenoid contents and identifies 580 common significant differentially expressed genes. It was authored by Hongqi Du and published in 2026.