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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
24,882 datasets
552 metagenome-assembled genomes (MAGs) were generated from recirculating aquaculture systems as part of the MikroRAS project. The genomes were co-assembled with MetaWRAP v1.3.2 by timepoint and isolation source, then dereplicated to 98% identity. The dataset was authored by Simen Fredriksen and last updated on April 16, 2026.
Supplementary material for a study developing a prognostic model for head and neck squamous cell carcinoma (HNSCC). The 18.6 MB CSV file, published on figshare by Yang Zhang under a CC-BY-4.0 license, likely contains long non-coding RNA (lncRNA) data associated with phospholipid metabolism. Its specific content and scale require verification after download.
Western Australian Museum's Maritime Archaeology database documents over 1650 shipwrecks, including notable vessels like the Batavia and Zuytdorp. The beta dataset is maintained by Jeremy Green and was last updated in March 2026, testing a live sync from the museum's internal systems.
A dataset for the FIFA World Cup 2026 containing player statistics and match data. The description suggests it includes external factors for machine learning and analytics. The dataset is hosted on Kaggle, but details about its creator, size, and license are unknown.
Eight acral melanoma patients provided peripheral blood mononuclear cells for single-cell RNA sequencing. The dataset contains profiles of 54,793 high-quality cells, analyzing immune signatures associated with adverse events from anti-PD-1 therapy. Author Qi Bao published the data on figshare in March 2026 under a CC-BY-4.0 license.
54,793 high-quality single cells from peripheral blood mononuclear cells (PBMCs) of eight acral melanoma patients, sequenced by Qi Bao and published on figshare in March 2026. The data compares patients who developed immune-related adverse events (irAEs) on anti-PD-1 therapy, treated patients without irAEs, and untreated controls. Analysis revealed reconfiguration of the CD8+ T cell compartment, including expansion of cytotoxic cells and contraction of a transitional population.
A curated set of 160 lactylation-related genes was analyzed using a multi-step machine learning framework. The dataset, created by Mingyang Zou and last updated in March 2026, identifies AARS2 as a key biomarker. It integrates bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomic data from public repositories like TCGA and GEO.
Mingyang Zou's research dataset, last updated March 2026, contains results from a multi-omics analysis of 160 lactylation-related genes in colon adenocarcinoma and pan-cancer cohorts. The study integrates bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomic data from public repositories like TCGA and GEO, identifying AARS2 as a key biomarker. In vitro validation was performed using the HCT116 cell line.
A 22.5 KB dataset by Mingyang Zou, last updated March 18, 2026, containing results from a multi-omics analysis of lactylation-related genes in colon adenocarcinoma and pan-cancer cohorts. It includes findings from bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomic data from sources like TCGA and GEO, identifying AARS2 as a key biomarker. The analysis involved a curated set of 160 lactylation-related genes and was validated with clinical specimens and in vitro studies.
A 25.8 KB dataset from figshare, last updated March 18, 2026, by author Mingyang Zou. It contains results from an integrative multi-omics analysis of lactylation-related genes in colon adenocarcinoma and pan-cancer cohorts, identifying AARS2 as a key biomarker. The analysis leveraged data from public repositories including TCGA and GEO.
Blasia genome paper Github scripts is a collection of scripts related to the genome of the plant Blasia pusilla, published on figshare by Yuling Yue. The dataset is a 57.2 KB ZIP file last updated on April 30, 2026. The license is CC-BY-4.0.
Supplementary files for a scoping review article titled 'Chronic Stroke Rehabilitation Interventions in Primary Health Care Settings'. The 2.3 MB PDF was authored by Liezel Naudé and last updated on April 20, 2026. Its content likely supports the review's methodology and findings.
A dataset supporting a study that identified the deubiquitinase USP54 as a prognostic factor in pancreatic ductal adenocarcinoma. The data likely contains results from bulk transcriptomics, single-cell RNA sequencing, spatial transcriptomics, and experimental validation assays. The dataset was authored by Zibo Yuan and last updated on March 18, 2026.
A multi-omics dataset from a study identifying the deubiquitinase USP54 as a prognostic factor in pancreatic ductal adenocarcinoma (PDAC). The data includes bulk transcriptomics, single-cell RNA sequencing, and spatial transcriptomic profiling, analyzed with machine learning methods like Coxnet and Fuzzy SVM. The dataset was authored by Zibo Yuan and last updated on March 18, 2026.
Saraga is a dataset of Carnatic music recordings. The description indicates it includes pitch, tonic, phrase, and section annotations for the audio content. The dataset is hosted on Kaggle, but specific details about its creator, size, and license are not provided.
RNA-seq data from placental tissues of newborns with congenital Chagas disease, exposed but uninfected, and unexposed controls. The dataset includes differential gene expression and co-expression network analysis results, identifying genes like CEMIP, PRRX1, and CGB5. It was uploaded by Sofia Apodaca on March 18, 2026.
Transcriptomic analysis of placental tissues from deliveries of congenitally infected, exposed but uninfected, and unexposed/uninfected newborns. The dataset is 139.1 KB and was authored by Sofia Apodaca, last updated on 2026-03-18. It includes findings on differential gene expression, gene set enrichment, and co-expression network analysis related to Trypanosoma cruzi transmission.
Transcriptomic analysis of placental tissues from deliveries of congenitally infected, exposed but uninfected, and unexposed/uninfected newborns. The dataset, authored by Sofia Apodaca and last updated in March 2026, identifies differential gene expression and altered pathways associated with Trypanosoma cruzi transmission. It includes findings on genes like CEMIP, PRRX1, and CGB5, and results from gene set and cell type enrichment analyses.
Transcriptomic analysis of placental tissues from deliveries of congenitally infected, exposed but uninfected, and unexposed/uninfected newborns. The dataset, last updated in March 2026, was created by Sofia Apodaca and shared under a CC-BY-4.0 license. It includes results from differential gene expression, gene set enrichment, and co-expression network analysis to identify factors associated with vertical transmission of Trypanosoma cruzi.
RNA-seq data from placental tissues of newborns with congenital Chagas disease, exposed but uninfected, and unexposed controls. The dataset includes differential gene expression results for genes like CEMIP, PRRX1, and CGB5, as well as gene set and cell type enrichment analyses. Sofia Apodaca published the data on figshare under a CC-BY-4.0 license, with a last update in March 2026.