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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
24,823 datasets
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 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.
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.
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.
SML_IACP_NOAA_HRPT_MAIN_DATA contains satellite imagery from NOAA polar-orbiting satellites for the Far Eastern Region of Russia and adjacent areas. The dataset includes over 6000 files as of April 2002, with data acquisition beginning August 25, 1993. It was compiled by the Satellite Monitoring Laboratory of the Institute of Automation and Control Processes (IACP).
Monika Wisniewska provides a dataset supporting phylogenomics, virulence factor analysis, mitochondrial metabolism, and likelihood ratio tests for Cryptomonas proliferans. The dataset includes a full genome assembly, predicted proteins and CDS, functional annotations, a 178-gene phylogenomic alignment, and synteny analysis files. It is structured into directories for assembly, phylogenomics, mitochondrial metabolism, likelihood ratio tests, and synteny.
INTERMAGNET provides minute-by-minute and definitive measurements of the Earth's magnetic field from a global network of observatories. Data is collected by participating Geomagnetic Information Nodes (GINs) and made available as preliminary 'reported' data and later as processed 'definitive' data. The network supports both near-real-time data dissemination and annual CD-ROM publications.
A study by Lauren M. Kerwien, published on figshare in March 2026, establishes a framework for studying amino acid metabolic pathways in Arabidopsis. The research precisely determines the toxicity levels of individual amino acids on plant growth in solid and liquid media, with concentrations tested up to 20 mmol.l⁻¹. It investigates the alleviation of this toxicity by glutamine and the potential role of the Target of Rapamycin (TOR) signaling pathway.
43 consistently dysregulated genes and 10 hub genes were identified by integrating peripheral blood single-cell RNA sequencing and bulk sequencing data from UC and CD patients. Linghui Song published this analysis on figshare in March 2026. An 18-gene machine learning model achieved an AUC of 0.73 in independent validation.
A Web Feature Service (WFS) replicates datasets from Bristol City Council listed on data.gov.uk. The service includes some Ordnance Survey data released under a presumption to publish. Users must include the acknowledgement 'Contains OS data © Crown copyright and [database rights] [year of issue]'.
The United States Environmental Protection Agency collects and maintains data on facilities subject to environmental regulation or of environmental interest. This specific dataset includes NAICS code classifications for these facilities. The data is considered mission-sensitive and critical infrastructure information.
The U.S. Environmental Protection Agency (USEPA) collects and maintains data on facilities handling chemicals subject to environmental regulation. This dataset is part of the Facility Registry Service and is classified as Mission Sensitive and Critical Infrastructure. Data access is restricted to the EPA intranet.
United States Environmental Protection Agency data on facilities handling chemicals subject to environmental regulation. The dataset is designated as Mission Sensitive and Critical Infrastructure, restricting access to internal EPA intranet use only. It was last updated in April 2026.