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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
24,878 datasets
13.2 KB of supplementary data defining protein abbreviations used in a scientific figure. The dataset was authored by Linda Beckett and last updated on April 10, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A figshare-hosted dataset containing genetic diversity indices for the sea cucumber species Holothuria atra. The data, authored by Jinjin Wang and last updated in April 2026, is provided in a 5.5 KB Excel file under a CC-BY-4.0 license. Its specific geographic origin is not detailed in the provided metadata.
Jinjin Wang published a dataset on figshare in 2026 detailing gene characteristics of the Holothuria atra mitochondrial genome. The dataset is 9.5 KB in size and is available in XLS format under a CC-BY-4.0 license. Column-level details and row count are not specified in the provided metadata.
Melting temperatures (°C) of mixed genotypes in the MAMAs targeting SNPs in the parC and gyrA genes. The dataset is a 5.5 KB Excel file authored by Dominika Buni and last updated on 2026-04-17.
29.7 KB dataset from figshare by Dominika Buni, last updated April 2026. It contains non-synonymous single nucleotide polymorphisms in potential efflux pump genes and the initial Minimum Inhibitory Concentration values for six antibiotics, measured both in the absence and presence of sodium orthovanadate.
A 5.5 KB Excel file uploaded by Gregory P. Sprenger on April 10, 2026. The dataset appears to be a meta-analysis overview, likely summarizing study outcomes, scale types, and analytical methods from a referenced research article.
A 5.5 KB Excel file containing GWAS summary statistic information used for an analysis. The dataset was authored by Taegun Kim and last updated on April 17, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Ali Alqazzaz's 5.5 KB Excel file compares the explainability performance of the MedDefender-MHAN model against other external XAI methods. The dataset was last updated on April 17, 2026. Its small size suggests it likely contains a focused set of evaluation metrics or scores.
A tabular dataset comparing the explainability performance of the MedDefender-MHAN model against other external Explainable AI (XAI) methods. The dataset is 5.5 KB in size, authored by Ali Alqazzaz, and was last updated on April 17, 2026. It is available in XLS format under a CC-BY-4.0 license.
Share of technology job listings requiring AI skills, tracked over time. The dataset likely contains time-series data on skill demand. It was sourced from Kaggle, but the author, organization, and specific time range are unknown.
Hui Yu published a dataset on 2026-03-18 containing a four-gene risk signature for bladder cancer prognosis. The data is derived from the analysis of 359 bladder cancer samples and includes molecular subtypes, risk scores, and gene expression patterns related to fatty acid metabolism. The dataset is stored in a 138.3 KB CSV file under a CC-BY-4.0 license.
A 2026 study by Hui Yu analyzed 359 bladder cancer samples to develop a fatty acid metabolism-related prognostic signature. The dataset includes a four-gene FAM-RiskScore (FAMR) model comprising PATZ1, TTC6, AEBP1, and MAOA, validated with internal and external cohorts. It supports molecular subtyping and correlates with patient survival, immune infiltration, and in vitro functional assays.
Data Sheet 4_FAM-related prognostic molecular subtype screening identified epithelial-derived MAOA-inhibiting bladder cancer.csv contains data from a study analyzing 359 bladder cancer samples to develop a four-gene prognostic risk signature. The signature, based on PATZ1, TTC6, AEBP1, and MAOA expression, was validated in internal and external cohorts and linked to molecular subtypes, immune infiltration, and patient survival. The dataset was authored by Hui Yu and published on figshare under a CC-BY-4.0 license.
A study by Hui Yu, published on figshare in March 2026, developed a prognostic model for bladder cancer based on fatty acid metabolism. The analysis used 359 bladder cancer samples to construct a four-gene risk signature (PATZ1, TTC6, AEBP1, MAOA) and classify molecular subtypes. The model was validated with internal and external cohorts and investigated through functional enrichment, immune infiltration, and single-cell RNA sequencing analyses.
359 bladder cancer samples were analyzed to construct a four-gene prognostic signature related to fatty acid metabolism. The signature, comprising PATZ1, TTC6, AEBP1, and MAOA, classifies patients into subtypes with distinct survival outcomes and immune profiles. Hui Yu published this research data on figshare under a CC-BY-4.0 license in March 2026.
RNA sequencing data from a mouse study investigating the effects of an 8-week moderate-intensity continuous training intervention on high-fat diet-induced muscle wasting. The dataset was published by Weihao Hong on figshare in March 2026. It contains transcriptomic profiles from gastrocnemius muscle tissue.
RNA sequencing data from a study investigating the effects of an 8-week moderate-intensity continuous training intervention on high-fat diet-induced muscle wasting in mice. The dataset, 29.4 KB in size, was published by Weihao Hong on figshare in March 2026. It captures transcriptomic adaptations in the gastrocnemius muscle, comparing diet and exercise conditions.
Data Sheet 1 contains transcriptomic data from a study investigating the effects of moderate-intensity continuous training on high-fat diet-induced muscle wasting in mice. The dataset, shared by Weihao Hong on figshare, includes RNA sequencing results from mouse gastrocnemius muscle tissue. The data was last updated on March 18, 2026.
Immunogenicity data from a study evaluating a novel VZV mRNA vaccine candidate (KH014) in BALB/c mice. The dataset contains results from ELISA, microneutralization, ELISpot, and flow cytometry assays comparing single-dose, two-dose, and heterologous prime-boost regimens against a licensed vaccine. It documents humoral and cellular immune responses, including T-cell persistence for at least 10 weeks.
A collection of trained neural architectures for surrogate-assisted neural ensemble search (NES). The dataset includes structural definitions, model weights, validation predictions, and validation accuracy for models trained on CIFAR10, CIFAR100, and FashionMNIST. It was authored by Demoren and last updated on May 1, 2026.