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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,001 datasets
A methodological paper proposes models for spatial data on non-Euclidean domains like manifolds and graphs. The 1.4 MB resource includes PDF and MD files authored by Luigi Ippoliti and published under a CC-BY-4.0 license on figshare in May 2026. It demonstrates the framework through four applications with increasing domain complexity.
Six project area records from OptiComm Pty Ltd detailing telecommunications infrastructure deployments. The data includes project identifiers, addresses, geographic coordinates, estimated completion dates, and contract signing dates, with the most recent update on 11 May 2026. It was published by the SIP Register on data.gov.au.
Supplementary images and probe sequences for a neuroscience study investigating fractalkine signaling. The dataset includes in situ hybridization images from the brains of ovariectomized, estradiol-treated rats and a table of probe sequences. It was authored by Yuki Otsuka and last updated on May 31, 2026.
5.5 KB of simulation parameters for a UAV-assisted wireless coverage strategy. The dataset, authored by Huakui Sun and last updated in May 2026, models user distribution as a homogeneous Poisson point process to analyze interference and optimal deployment. It is shared under a CC-BY-4.0 license on figshare.
Corinna Leppin published a dataset on figshare on 2026-05-14 containing results from a study optimizing ecological momentary assessment (EMA) for smoking cessation just-in-time adaptive interventions (JITAIs). The 5.5 KB XLS file presents linear mixed model results evaluating random forest algorithm performance for predicting smoking lapses and cravings based on data from 37 participants. Performance metrics include F1-scores and ROC-AUC values across different EMA prompt frequencies, predictor counts, and training data sources.
Three specific miRNAs—miR-224-5p, miR-339-5p, and miR-1198-5p—were identified as regulators of Neuritin expression in a mouse model of sensorineural hearing loss. Pingping Meng published this 5.5 KB Excel dataset on figshare in May 2026. The data likely contains results from high-throughput sequencing and bioinformatics analysis of cochlear tissues.
A mouse model of sensorineural hearing loss (SNHL) was used to screen miRNAs regulating Neuritin expression. Pingping Meng published this dataset on figshare in May 2026. The data likely contains sequences or identifiers for three miRNA inhibitors (miR-224-5p, miR-339-5p, miR-1198-5p) validated to improve SNHL.
5.5 KB of Excel data from a study screening miRNAs regulating Neuritin in sensorineural hearing loss. The dataset likely contains sequences or identifiers for three miRNA antagomirs (miR-224-5p, miR-339-5p, miR-1198-5p) validated in a mouse model. It was authored by Pingping Meng and last updated on 2026-05-21.
Luciferase reporter gene sequence data from a study screening miRNAs involved in sensorineural hearing loss. Pingping Meng published the 5.5 KB Excel file on figshare in May 2026. The research identified miR-224-5p, miR-339-5p, and miR-1198-5p as key regulators of neurofilament protein expression.
A mouse model of sensorineural hearing loss was used to screen miRNAs regulating neurofilament protein expression. The dataset likely contains candidate miRNA sequences identified through high-throughput sequencing and bioinformatics analysis. Pingping Meng authored the dataset, which was last updated on 2026-05-21.
9.5 KB of primer sequences in an XLS file, uploaded by Pingping Meng on figshare in May 2026. The dataset supports research into miRNAs regulating Neuritin expression in sensorineural hearing loss (SNHL) mouse models. It likely contains sequences for validating miRNAs like miR-224-5p, miR-339-5p, and miR-1198-5p identified in the described study.
Eric Wang's dataset on figshare contains PCR primer information for studying epigenetic regulation in diabetic complications. The data, last updated in May 2026, is a 5.5 KB XLS file. It originates from experiments using human retinal and cardiac microvascular endothelial cells treated with epigenetic inhibitors.
Eric Wang's dataset on figshare contains experimental data related to epigenetic regulation of microRNA-9 in human retinal and cardiac microvascular endothelial cells under hyperglycemic conditions. The data is stored in a 5.5 KB XLS file and was last updated on 2026-05-21. It supports research into the distinct regulatory roles of long non-coding RNAs ZFAS1 and MALAT1 in diabetic complications.
A dataset of red sandstone dynamic compressive strength (DCS) under acidic wetting-drying conditions, used to train ensemble learning models. The data was authored by Bin Du and last updated on May 14, 2026. It includes input features analyzed for correlation and importance via SHAP values.
Metabolomic profiles from myocardial tissues of pentylenetetrazol-induced epileptic rats and control rats, collected for a study on sudden unexpected death in epilepsy (SUDEP). The dataset contains 127 identified differential metabolites and was authored by Yue Hu, last updated on 2026-05-21. Analysis was performed using UHPLC-OE-MS-based non-targeted metabolomics and multivariate statistical methods.
A figshare-hosted dataset by Zhiwei Li, last updated in May 2026, containing 4.5 MB of supplementary files for a study on meningitis. It includes transcriptomic and proteomic data from a mouse model infected with Escherichia coli strain RS218, comparing results to mock conditions. The data comprises differential expression analyses, principal component analyses, and blood parameter measurements at 4 and 12 hours post-infection.
Redmap is a community science project managed by the Australian Ocean Data Network, inviting public sightings of uncommon marine species along Tasmanian coasts. Sightings include species, location, date/time, and optional biological and environmental data, categorized as verified (with photo) or anecdotal. The data is live and mapped to track changes in species distributions over time.
Redmap is a community science platform collecting sightings of uncommon marine invertebrate species along the coast of Western Australia. The dataset includes verified sightings with photos and anecdotal sightings without photos, mapped to track potential changes in species distribution over time. Data collection is managed by the Australian Ocean Data Network and includes species, location, date/time, and optional biological and environmental information.
NSW Government data on apprenticeships and traineeships combining formal study with on-the-job training. The dataset includes students who started or completed a contract since 2015 and those currently in training, with current calendar year data being year-to-date. It is published by the NSW Department of Education and is also used in interactive public dashboards.
Elisabeth A. Shrimpton's 31.4 KB document analyzes governance forms impacting new "green" desalination processes in the Kingdom of Bahrain. The research, last updated in May 2026, uses documentary analysis, qualitative interviews, and focus groups with experts and communities. It identifies policy support and deeper societal norms that influence infrastructure adaptation.