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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
24,878 datasets
One mooring with 5 current meters collected data in the Southern Ocean near Heard Island from May 1990 to January 1991. The data, which likely contains velocity components, temperature, pressure, and salinity, were processed and are archived by the CMR Data Centre in Hobart. The dataset is provided by the Australian Ocean Data Network.
Figshare hosts a 597.9 KB DOCX file containing clinical and experimental data on RDM1's role in hepatocellular carcinoma chemosensitivity. The research by Xiaoni Cai analyzes RDM1 prognostic value, post-transcriptional regulation by 5-azacytidine, and the efficacy of a transferrin-modified liposome co-delivery system for doxorubicin. The dataset includes results from DNA damage repair assays, apoptosis assays, and in vitro and in vivo antitumor efficacy evaluations.
A 14.8 MB FAISS vector database transforms structured diabetes patient records into semantic embeddings using the all-MiniLM-L6-v2 model. This resource is specifically designed to support Retrieval-Augmented Generation (RAG) pipelines and agent-based reasoning systems in healthcare. It enables efficient similarity search and retrieval for prototyping and benchmarking AI-driven clinical decision support.
May 2024 data from a national probabilistic pre-election survey conducted in Mexico. The study aimed to assess the effect of the first six-year government term of Morena, or the so-called 'fourth transformation,' on political attitudes, public perceptions of government management, the popularity of President López Obrador, voting intentions, and policy preferences. The survey was designed and funded by FLACSO Mexico and applied by ISA.
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.
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 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.
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.
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.