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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,009 datasets
PREPWELL programme data from a field test of the Obaatanpa mHealth intervention for mothers in Kintampo, Ghana. The dataset, 9.5 KB in size, was authored by Benedict Weobong and last updated on 2026-05-19. It contains findings on the feasibility and acceptability of an 8-session intervention delivered via mobile phones.
Participant data from the PREPWELL program's field test of the Obaatanpa mHealth intervention for maternal psychosocial well-being in Kintampo, Ghana. The dataset is 5.5 KB in size, authored by Benedict Weobong, and was last updated on May 19, 2026. It is shared under a CC-BY-4.0 license on figshare.
Australian geoscience research articles from the AGSO Journal, published by the Australian Ocean Data Network. The volume includes seven papers covering topics such as foraminiferal biostratigraphy, regional tectonics, earthquake magnitude scales, and geochemical surveys. The dataset was last updated on June 5, 2026.
Antarctic Adélie penguin colonies experienced a mass mortality event in the austral summer of 2023/2024. This dataset contains 52.6 MB of FASTA-formatted genomic sequences for the Pasteurella multocida strain identified as the cause, collected from 49 carcasses in the Danger Islands archipelago. The data was authored by Matteo Iervolino and shared under a CC-BY-4.0 license on figshare in May 2026.
2018-2019 phytoplankton data collected from SmartBuoy moorings at Dowsing, WestGabbard2, Warp, and Liverpool Bay in UK waters. The Marine Environmental Data & Information Network produced this dataset by analyzing water samples using the Utermohl method on high-power inverted microscopes. Cell counts are reported as abundance values in Cells per Litre.
The Epithelial Systems Biology Laboratory (ESBL) at the NHLBI/NIH archives nine previously published transcriptomic datasets focused on kidney biology. The 52.2 MB ZIP file contains web architecture for accessing data from studies including RNA-seq of renal inner medullas, circadian variation in mouse proximal tubules, and transcriptomes of all 14 rat renal tubule segments. The archive was last updated on May 12, 2026, by the Knepper Lab.
23 files totalling 11.1 GB of raw multibeam echosounder data collected during the RV Investigator voyage IN2018_V04 from September 11 to October 8, 2018. The Kongsberg EM710 MKII system acquired seafloor bathymetry, backscatter, and watercolumn backscatter data, which are stored in raw and processed formats by CSIRO. Processed data includes motion-corrected bathymetry grids and backscatter information.
Supplementary file 8 from a research paper published on figshare by Yirong Ma in May 2026. The dataset likely contains integrated multi-omics data, including proteomic and transcriptomic results, used to identify lactylation-linked biomarkers for atherosclerosis. The analysis involved 472 differentially expressed proteins, 2,544 DEGs, and machine-learning validation.
472 differentially expressed proteins and 2,544 differentially expressed genes were integrated to identify lactylation-linked biomarkers for atherosclerosis. The dataset, authored by Yirong Ma and last updated in May 2026, supports a machine-learning ensemble that achieved a mean AUC of 0.979. It includes results from proteomics, transcriptomics, and network analyses validated in an Apoe−/− mouse model.
A 1.2 MB PDF file published on figshare in May 2026 by Yirong Ma. This supplementary file contains multi-omics data from a study integrating proteomics, transcriptomics, and network analysis to identify lactylation-linked biomarkers for atherosclerosis. The research involved experimental validation in a mouse model and computational screening for potential therapeutics.
A research article from figshare, authored by Yirong Ma and last updated in May 2026, describes a multi-omics study of atherosclerosis. The work integrates proteomic and transcriptomic data, identifies lactylation-related genes, and validates candidate biomarkers using machine learning and experimental models. The dataset is a 1.4 MB PDF file.
A supplementary file from a study integrating proteomic and transcriptomic data to investigate lactylation-linked biomarkers for atherosclerosis. The research involved data-independent proteomics on HUVECs, integration of public transcriptomes, and validation in Apoe−/− mice. The file was authored by Yirong Ma and last updated on 2026-05-08.
Yirong Ma published this dataset on figshare in May 2026. It contains multi-omics data from a study investigating lactylation in atherosclerosis, integrating proteomic and transcriptomic analyses. The data underpins the identification of four hub genes (UAP1, NRP1, QPRT, NDST1) validated through machine learning and experimental models.
A research dataset from figshare, authored by Yirong Ma and last updated in May 2026. It integrates proteomic and transcriptomic data to identify lactylation-related biomarkers for atherosclerosis, validated through machine learning and experimental models.
25 candidate biomarkers were prioritized from proteomic and transcriptomic analyses of atherosclerosis. This 10.6 KB Excel file, authored by Yirong Ma and last updated in May 2026, contains results from a study integrating data-independent proteomics, public transcriptomes, and machine learning. The research validated four hub genes linked to lactylation and suggested a potential therapeutic interaction.
A dataset containing quantified levels of free nucleosides 2′-deoxyguanosine and 8-hydroxy-2′-deoxyguanosine in ovine seminal plasma, used as biomarkers for oxidative DNA damage. The data was generated by author Manuel Alfaro-Gómez using a validated solid-phase extraction and LC-MS/MS method, with results from a pooled healthy sample and one ram with low sperm quality. The dataset was last updated on May 8, 2026.
Gene expression data from sepsis and ARDS patients analyzed by Lizhou Song. The dataset, last updated in 2026, identifies 10 ferroptosis-pyroptosis crosstalk genes, including GPX4, GSDMD, SLC7A11, and CASP1, with differential expression validated by PCR and ELISA assays.
10 ferroptosis-pyroptosis crosstalk genes identified as potential prognostic biomarkers for sepsis-induced acute respiratory distress syndrome. Author Lizhou Song published this gene signature analysis on figshare under a CC-BY-4.0 license, last updated in May 2026. The dataset likely contains gene expression data validated by quantitative PCR and ELISA assays.
A multi-omics integration study identifies a potential pathogenic monocyte subset in myasthenia gravis. The dataset includes single-cell RNA sequencing data from peripheral blood of MG patients and healthy controls, integrated with GWAS summary data and expression quantitative trait loci. Shuang Li authored this work, which was last updated on 2026-05-01.
Shuang Li published a dataset on figshare in 2026 containing results from a multi-omics integration study of myasthenia gravis. The data includes six signature genes identified by machine learning as associated with a potentially pathogenic monocyte subset. The dataset is 10.8 KB in size and is available under a CC-BY-4.0 license.