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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
24,878 datasets
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.
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, 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.
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 was created by Hongqi Du and published on figshare in March 2026.
Integrated metabolomics and transcriptomics data from five alfalfa flower types (white and four purple shades) reveals the molecular basis of purple color variation. The analysis identified 580 common significant differentially expressed genes (CSDEGs), including 24 transcription factors, and quantified key anthocyanin pigments like delphinidin-3,5-O-diglucoside. Data was generated by Hongqi Du and published in 2026 under a CC BY 4.0 license.
A controlled experiment on peanut seedlings (Arachis hypogaea L.) exposed to cadmium stress and treated with inorganic calcium or sorbitol-chelated calcium. The dataset includes integrated physiological, biochemical, and transcriptomic analyses, such as measurements of growth parameters, photosynthetic activity, reactive oxygen species (ROS), superoxide dismutase (SOD) activity, malondialdehyde (MDA) levels, and gene expression for AUX/IAA, GH3, SAUR, and JAZ. The study provides a basis for understanding how calcium treatments mitigate heavy metal toxicity.
A controlled experiment analyzes peanut seedlings exposed to cadmium stress with different calcium treatments. The study integrates physiological, biochemical, and transcriptomic data to assess mitigation effects. Specific row and column counts are not provided in the input.
Mouse model data integrates 16S rRNA sequencing and fecal metabolomics to compare mango pulp, peel, and kernel effects. It reveals distinct metabolic regulatory mechanisms, including gut microbiota remodeling by pulp and peel versus direct systemic action by kernel. The dataset is 10.8 MB in size and was last updated in March 2026.
A study by Alejandra R. Chavez, last updated March 2026, examines how filtered wastewater effluent affects Escherichia coli. The data includes growth assay results and RNA sequencing transcriptomics from experiments with simultaneous exposure to effluent and tetracycline antibiotic. The findings indicate the effluent promotes antibiotic tolerance by altering growth dynamics without changing genetic resistance.
Alejandra R. Chavez's research dataset examines how filtered wastewater effluent affects Escherichia coli growth and antibiotic tolerance under tetracycline stress. It contains results from growth assays and RNA sequencing, with data presented in an XLSX file. The study found wastewater-exposed E. coli had shortened lag phases and required fewer gene expression changes to adapt to tetracycline stress.
437.9 KB of experimental data examines how filtered wastewater effluent affects Escherichia coli growth and antibiotic tolerance under tetracycline stress. The dataset contains results from growth assays and RNA sequencing, characterizing physiological and transcriptomic responses. No differences in minimum inhibitory concentration values were observed, indicating tolerance rather than heritable resistance.
Fulton County detention facility bookings since January 2014 include delivery agency and release reasons. Each record contains BookingDate, ReleaseDate, and DaysinCustody, enabling temporal analysis. The data is published by sharefulton.fultoncountyga.gov and was last updated in April 2026.
A curated dataset of high-evidence academic studies on smart home security, privacy, and access control in IoT ecosystems. It compiles influential peer-reviewed works from major security venues, summarizing each study's core contribution and key takeaway. The dataset supports systematic reviews and meta-analysis in IoT security research.
Psychiatric Genomics Consortium summary statistics for Anxiety Disorder phenotypes from genome-wide association studies. The dataset, published by OpenMed, is structured as multiple subsets corresponding to different publications, such as 'anx2016'. The last recorded update was on 2026-04-06.
A prognostic model for Lung Adenocarcinoma (LUAD) was constructed using four exosome-related genes (CLIC6, ANLN, FAM83A, RHOV) identified from TCGA and GEO data. The model stratifies patients into risk subgroups with distinct immune characteristics and immunotherapy response potential. The dataset includes analysis of immune cell infiltration differences and single-cell RNA sequencing validation.
A 2026 research paper presents a prognostic model for Lung Adenocarcinoma (LUAD) based on four identified exosome-related genes (CLIC6, ANLN, FAM83A, RHOV). The study analyzes data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), using differential expression, clustering, and LASSO regression. It links the gene signature to immune infiltration differences and immunotherapy response, validated with in vitro assays on LUAD cell lines.
Address information for corporations and other business entities filed with the state of New York. Each record contains an address collected from a filed document, with columns for street address, entity name, filing date, and location identifiers. The data is provided by data.ny.gov and was last updated on March 31, 2026.
Murine melanoma cell line data identifies long non-coding RNAs involved in cellular plasticity. The dataset focuses on the lncRNA Dlx4os, demonstrating its role in promoting a mesenchymal-like state and regulating markers like Sox10 and Mitf. Findings suggest Dlx4os as a potential biomarker and therapeutic target for influencing treatment response and metastasis.
Lobbyists are required to register and file regular statements with the San Francisco Ethics Commission. This directory contains metadata for all filings received, updated nightly via a sync script. An individual filing can be amended by a lobbyist, superseding the content of the original filing.