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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,808 datasets
Geoscience Australia provides seamless greyscale topographic mapping for the entire continent, including Cocos (Keeling) Islands, Christmas Island, Norfolk Island, and Lord Howe Island. The service combines Geoscience Australia data at smaller scales with OpenStreetMap data at larger scales. This map service is produced for the National Map project and contains layer scale dependencies.
Matanuska Glacier mudflats in Alaska were sampled in June 2023 to investigate microbial communities involved in pyrite sun formation. The dataset contains 16S rRNA amplicon sequencing data, likely identifying bacteria involved in sulfur, iron, and carbon cycling. It was authored by Heather Fair and is shared under a CC-BY-4.0 license.
A research paper analyzing the immune landscape of occult breast cancer (OBC) using multi-omics approaches. The study integrates survival data from the SEER database (n=12,162), quantitative proteomics, bulk transcriptomics, and single-cell RNA sequencing. It was authored by Junjie Liu and last updated on 2026-04-17.
A multi-omics dataset from figshare, last updated April 17, 2026, by author Junjie Liu. It integrates survival data from the SEER database (n=12,162) with molecular profiles from proteomics, bulk transcriptomics, and single-cell RNA sequencing to investigate immune mechanisms in occult breast cancer. The study characterizes the tumor microenvironment, focusing on B cell-mediated immune surveillance linked to patient prognosis.
A 27.2 KB research document by Zhe Zhang, last updated April 17, 2026, details a study on melatonin's effect on type 2 asthma. The work uses an ovalbumin-induced mouse model and cultured airway epithelial cells to investigate the MT1-Sirt1 signaling pathway and circadian clock genes. Results indicate melatonin treatment reduced inflammation, mucus production, and epithelial-mesenchymal transition.
Three clinical macrolide-susceptible Bordetella pertussis isolates were subjected to stepwise erythromycin induction. The dataset includes phenotypic readouts such as antimicrobial susceptibility testing, growth and biofilm assays, and ELISA measurements of virulence factors. It was authored by Kaichong Jiang and last updated on 2026-04 17.
Figshare hosts a dataset tracking macrolide resistance evolution in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. The data includes phenotypic readouts like antimicrobial susceptibility, growth, biofilm assays, and ELISA measurements of virulence factors. Author Kaichong Jiang published the dataset under a CC-BY-4.0 license, with a last update in April 2026.
Experimental data tracks the evolution of macrolide resistance in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. The dataset includes phenotypic readouts such as antimicrobial susceptibility testing, growth and biofilm assays, and ELISA-based measurements of virulence- and metabolism-associated factors. It was authored by Kaichong Jiang and last updated on 2026-04-17.
Experimental data tracks macrolide resistance evolution in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. The dataset includes genomic and phenotypic measurements such as minimum inhibitory concentration (MIC), growth, biofilm formation, and ELISA readouts for virulence factors. It was authored by Kaichong Jiang and uploaded to figshare on 2026-04-17.
Table 3_Macrolide resistance trajectories across three Bordetella pertussis genetic backgrounds under stepwise erythromycin exposure.xlsx is a dataset by Kaichong Jiang, last updated on 2026-04-17. It contains data from an in vitro study tracking resistance evolution in three clinical isolates of Bordetella pertussis. The dataset includes phenotypic and genomic measurements from stepwise antibiotic exposure experiments.
A dataset from figshare, last updated on 2026-04-17, containing results from a stepwise erythromycin induction experiment on three clinical Bordetella pertussis isolates. It was created by Kaichong Jiang and includes phenotypic and genomic data tracking resistance evolution. The data is provided under a CC-BY-4.0 license in an 8.9 KB XLSX file.
Experimental data tracking the evolution of macrolide resistance in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. The dataset includes genomic and phenotypic measurements, such as minimum inhibitory concentration (MIC), whole-genome sequencing variants, growth, biofilm formation, and ELISA readouts for virulence factors. It was created by Kaichong Jiang and last updated on 2026-04-17.
Kaichong Jiang published this dataset on 2026-04-17. It contains experimental results tracking the evolution of macrolide resistance in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. The data includes genomic and phenotypic measurements such as minimum inhibitory concentrations, growth assays, and ELISA readouts for virulence factors.
Three clinical macrolide-susceptible Bordetella pertussis isolates were subjected to stepwise erythromycin exposure. The dataset includes phenotypic readouts such as antimicrobial susceptibility testing, growth and biofilm assays, and ELISA measurements of virulence factors. It was authored by Kaichong Jiang and last updated on 2026-04-17.
Kaichong Jiang's dataset tracks macrolide resistance evolution in three clinical Bordetella pertussis isolates under stepwise erythromycin exposure. It includes phenotypic readouts like antimicrobial susceptibility testing, growth and biofilm assays, and ELISA-based measurements of virulence- and metabolism-associated factors. The dataset was last updated on 2026-04-17 and is available under a CC-BY-4.0 license.
Three clinical Bordetella pertussis isolates were subjected to stepwise erythromycin induction to track resistance evolution. Whole-genome sequencing and phenotypic assays measured genomic alterations, MIC trajectories, growth, biofilm formation, and virulence factors. Kaichong Jiang published this 12.4 KB dataset on figshare in April 2026 under a CC-BY-4.0 license.
A 9.7 KB Excel dataset from figshare, last updated on 2026-04-17, authored by Kaichong Jiang. It contains results from a laboratory study tracking the evolution of erythromycin resistance in three clinical Bordetella pertussis isolates. The data includes phenotypic and genomic measurements from stepwise antibiotic exposure experiments.
Brimbank City Council provides point locations for Maternal Child Health Service centres within its jurisdiction. The dataset includes attributes such as facility name, address, and primary category, and is available in multiple geospatial file formats. The data was last updated on April 23, 2026.
A 35-gene R-loop prognostic index (RLPI) was constructed using Elastic Net from 9 benchmarked machine learning algorithms. The index predicts clinical outcomes for 1556 patients across 6 independent lower-grade glioma cohorts, linking to immune microenvironment and metabolic features. Author Ronghua Huang published this data on figshare in April 2026 under a CC-BY-4.0 license.
A prognostic index (RLPI) for lower-grade glioma (LGG) constructed using 9 machine-learning algorithms and validated across 11 bulk transcriptomic, 2 single-cell RNA-sequencing, and 1 spatial transcriptomic cohort. The RLPI comprises 35 R-loop regulators and is associated with clinical outcomes, immune microenvironment, and metabolic features in 1556 patients. The dataset was created by Ronghua Huang and last updated on 2026-04-17.