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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,291 datasets
3.7 MB of experimental data from a study comparing interferon and interferon-stimulated gene expression in human and canine keratinocytes. The dataset, authored by Sarah Quinlan and last updated in May 2026, includes results from CRISPR-Cas9 knockout and shRNA knockdown experiments on IRF1, IRF3, and IRF7. It is shared under a CC-BY-4.0 license on figshare.
15 paired bladder cancer and adjacent normal tissue samples form the Soochow-BLCA cohort. The dataset integrates transcriptomic data from The Cancer Genome Atlas and Gene Expression Omnibus to identify prognostic succinylation-related genes. Author Jiajian Yang published the dataset under a CC-BY-4.0 license on figshare in May 2026.
122 stations on Australia's Carnarvon Shelf were surveyed between August and September 2008, collecting underwater video and still images from depths of 13-125 meters. The survey was a collaboration between Geoscience Australia and the Australian Institute of Marine Science under the CERF Marine Biodiversity Hub's Surrogates Program. Its objective was to gather co-located data to test physical parameters as surrogates for benthic biodiversity patterns.
Huizi Sun's dataset documents genetic analysis of five phenotypically normal female carriers of Hemophilia A. The data includes identified pathogenic variants in the F8 gene, such as intron inversions and small deletions, validated through high-throughput sequencing and Sanger sequencing. The dataset was last updated on 2026-05-15 and is shared under a CC-BY-4.0 license.
South Australia's Redmap project collects community-submitted sightings of uncommon marine species, primarily sharks and rays. The data includes verified photo sightings and anecdotal community reports, with information on species, location, date, activity, and optional biological and environmental details. This live dataset is managed by the Australian Ocean Data Network and is subject to a three-year embargo on recent records.
The Environment Agency's AIMS Asset Bundle is the only comprehensive and up-to-date dataset in England showing flood defences owned, managed, or inspected by the agency. It includes man-made and natural assets like earth banks, walls, and sheet-piling used to prevent or control flooding. The data is updated daily and covers the entire national dataset.
A 2026 supplementary PDF document from figshare, authored by figshare admin karger, details two pediatric case reports. It describes the use of methylation-based episignature analysis to aid in the reclassification of Variants of Uncertain Significance (VUS) in Rubinstein-Taybi and Cornelia de Lange syndromes. The document introduces the METRIC scoring component of the EpiSignTM assay.
A seven-gene prognostic signature (IGJ, CXCL14, PTGER3, RTN1, EGOT, TLR10, PANX2) for breast cancer developed by Yuan Yao. The model was constructed using data from TCGA-BRCA, AURORA US Network, SCAN-B, and GEO databases and validated via multiple analyses. The dataset was last updated on 2026-05-10.
A prognostic risk model based on seven metastasis-associated genes (IGJ, CXCL14, PTGER3, RTN1, EGOT, TLR10, PANX2) developed and validated for breast cancer. The model was constructed using data from TCGA-BRCA, AURORA US Network, SCAN-B, and GEO databases via univariate Cox and LASSO regression analyses. It was authored by Yuan Yao and last updated on 2026-05-10.
A prognostic risk model based on seven metastasis- and cancer-associated genes (IGJ, CXCL14, PTGER3, RTN1, EGOT, TLR10, PANX2) for breast cancer. The model was developed and validated using data from TCGA-BRCA, AURORA US Network, SCAN-B, and GEO databases. It was authored by Yuan Yao and last updated on May 10, 2026.
LINDA SAMUELSON published bulk RNA sequencing data on gastric corpus and antral organoid cultures in 2026. The dataset contains differential gene expression analysis results for organoids 24 hours after Wnt inhibition via XAV939 treatment and ligand withdrawal. RNAseq reads and counts data are publicly available in the NIH NCBI Gene Expression Omnibus accession GSE314919.
May 2026 data from Peking Union Medical College Hospital includes transcriptomic profiles from intestinal biopsies of 11 patients treated with immune checkpoint inhibitors. The dataset contains gene expression matrices for 18,676 genes, generated using the GeoMx DSP platform and Illumina NovaSeq sequencing. It was published by Qingyang Zhou on figshare under a CC-BY-4.0 license.
2026-03-24 updated dataset contains two polygon layers delineating floodway and flood fringe areas for a 1 in 100 (1%) annual exceedance probability flood event across 15 Western Australian river systems and townsites. The Department of Water and Environmental Regulation produced this data to guide floodplain development, with the floodway prohibiting obstructive construction and the flood fringe permitting development under specific building conditions. The dataset is part of a 12-layer floodplain mapping series required for full scope analysis.
Synchronized 3D motion-capture and force-plate recordings from 44 adults (25 females, 19 males) during postural-control tasks. The dataset includes raw and processed biomechanical files, such as marker trajectories and joint moments, collected by Guohao Lin. Data were last updated on 2026-05-26.
High Throughput Sequencing (HTS) revealed thousands of potential fungal pathogens in reciprocal sentinel tree plantings across three continents, with many found in asymptomatic leaves. The dataset, authored by Isabel Alvarez Munck and last updated in May 2026, underscores the limitations of symptom-based inspections for plant biosecurity. Geographic location and tree species were the strongest predictors of fungal community structure, while seasonality also significantly shaped pathogen assemblages.
High Throughput Sequencing revealed thousands of potential fungal pathogens in asymptomatic sentinel plants, challenging symptom-based detection methods. The dataset likely contains results from reciprocal ex patria sentinel plantings across three continents, examining foliar fungal communities. It was authored by Isabel Alvarez Munck and last updated in May 2026.
High Throughput Sequencing (HTS) revealed thousands of potential fungal pathogens in asymptomatic sentinel plants, challenging symptom-based detection methods. The dataset compares foliar fungal communities across tree species and geographic locations on three continents, with samples collected in multiple seasons. It was created by Isabel Alvarez Munck and last updated in May 2026.
Reciprocal sentinel tree plantings across three continents were examined for foliar fungal pathogens using High Throughput Sequencing. The dataset, authored by Isabel Alvarez Munck and last updated in May 2026, reveals high frequencies of cryptic pathogens in asymptomatic plants. Geographic location, tree species, and seasonality were key predictors of community structure.
Foliar fungal pathogen communities were examined in reciprocal ex patria sentinel tree plantings across three continents. The dataset, created by Isabel Alvarez Munck and last updated in May 2026, reveals geographic location and tree species as the strongest predictors of community structure. High Throughput Sequencing (HTS) greatly expanded pathogen detection compared to classical methods, revealing numerous unculturable fungi and potential host-pathogen associations.
A dataset examining foliar fungal pathogen communities in reciprocal sentinel tree plantings across three continents. The data, collected by Isabel Alvarez Munck and last updated in May 2026, reveals that geographic location and tree species were the strongest predictors of fungal community structure. High Throughput Sequencing (HTS) greatly expanded pathogen detection compared to classical methods, revealing numerous unculturable fungi and previously unknown potential host-pathogen associations.