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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,526 datasets
Geoscience Australia Data provides an interpretation of U-Pb detrital zircon dating from offshore petroleum well cuttings. The analysis offers new information on sediment origin and changes in provenance for the Triassic Upper and Lower Keraudren deltas. This work aims to provide further insight into the origin of reservoir units in the Roebuck Basin.
251 sonobuoy deployments during the 2021 RV Investigator voyage collected approximately 460 hours of underwater acoustic recordings. The data includes Antarctic krill 3D coordinates and marine mammal vocalizations, such as those from blue and sperm whales. The voyage, part of the TEMPO survey, was conducted by the Marine National Facility between 29 January and 24 March 2021.
Lokeswara Rao Sajja published a dataset on figshare in May 2026 detailing the coagulation profile of Platelet-Rich Plasma (PRP) in contact with a control valve. The 5.5 KB Excel file contains values for various parameters measured at initial contact (t=0) and 30 minutes later, including percentage changes relative to a reference sample. The reference sample's platelet response to agonists ADP and collagen was recorded as 50% and 61%, respectively, on the testing day.
A 1.4 GB transcriptomic resource for the bamboo species Gigantochloa levis, generated by MOHAMMAD RAHMAT DERISE and last updated in May 2026. High-quality RNA was extracted from leaf, shoot, and stem tissues using a modified protocol and sequenced on an Illumina NovaSeq 6000 platform. The de novo assembly was performed with Trinity and refined with CD-HIT-EST, with BUSCO analysis indicating high transcriptome completeness.
230 differentially expressed genes and 70 differentially abundant proteins were identified from peripheral white blood cells of fertile and subfertile beef heifers. The dataset, created by T. Cody Brown and last updated in April 2026, integrates transcriptomic and proteomic data to investigate regulatory networks associated with pregnancy outcomes. It is a small dataset of 31.8 KB, shared under a CC-BY-4.0 license on figshare.
230 differentially expressed genes and 70 differentially abundant proteins were identified from peripheral white blood cells of fertile and subfertile beef heifers. The data, published by T. Cody Brown on figshare under CC-BY-4.0, integrates transcriptomic and proteomic profiles to reveal pathways like chemokine and JAK-STAT signaling. Network analyses suggest distinct regulatory patterns between groups, highlighting potential non-invasive biomarkers for fertility.
230 differentially expressed genes and 70 differentially abundant proteins were identified from peripheral white blood cells of 12 beef heifers. The data, authored by T. Cody Brown and last updated in April 2026, integrates transcriptomic and proteomic profiles to investigate molecular differences between fertile and subfertile animals. This work provides insights into regulatory networks associated with pregnancy outcomes.
230 differentially expressed genes and 70 differentially abundant proteins were identified from peripheral white blood cells of 12 beef heifers to study fertility. The dataset, created by T. Cody Brown and last updated in April 2026, integrates transcriptomic and proteomic data to reveal regulatory networks. It highlights pathways like chemokine signaling and JAK-STAT signaling associated with reproductive outcomes.
A multi-omics dataset integrates transcriptomic and proteomic data from peripheral white blood cells of fertile and subfertile beef heifers. It contains results from RNA-Sequencing and untargeted proteomics, including 230 differentially expressed genes and 70 differentially abundant proteins. The dataset was created by T. Cody Brown and last updated on 2026-04-19.
Data Sheet 2 contains multi-omics data from a study by T. Cody Brown investigating molecular signatures of fertility in beef heifers. The dataset integrates transcriptomic and proteomic data from peripheral white blood cells of 12 heifers, collected before artificial insemination. It was last updated on 2026-04 19.
Data Sheet 1_Network-based multi-omics approaches to identify molecular signatures associated with pregnancy status in beef heifers.pdf is a research dataset published on figshare by T. Cody Brown in April 2026. It contains integrated transcriptomic and proteomic data from peripheral white blood cells of 12 beef heifers, identifying 230 differentially expressed genes and 70 differentially abundant proteins. The data is used to investigate molecular networks and potential biomarkers associated with fertility outcomes.
230 differentially expressed genes and 70 differentially abundant proteins were identified between fertile and subfertile beef heifers. The data integrates transcriptomic and proteomic profiles from peripheral white blood cells collected before artificial insemination. Author T. Cody Brown published this 29.2 KB Excel file on figshare in April 2026.
A 2026 study by T. Cody Brown integrates transcriptomic and proteomic data from peripheral white blood cells of 12 beef heifers (6 fertile, 6 subfertile). The dataset includes 230 differentially expressed genes and 70 differentially abundant proteins identified between groups, linked to pathways like cell cycle, metabolism, and immune signaling. Data integration and network analysis reveal regulatory patterns and potential biomarkers for fertility.
Table 9_Network-based multi-omics approaches to identify molecular signatures associated with pregnancy status in beef heifers.xlsx contains integrated transcriptomic and proteomic data from peripheral white blood cells of fertile and subfertile beef heifers. The dataset, authored by T. Cody Brown and shared on figshare, includes results from RNA-Sequencing and untargeted proteomics, identifying 230 differentially expressed genes and 70 differentially abundant proteins. It was last updated on 2026-04-19.
230 differentially expressed genes and 70 differentially abundant proteins were identified from peripheral white blood cells of fertile and subfertile beef heifers. The dataset, created by T. Cody Brown and last updated in April 2026, integrates transcriptomic and proteomic data to explore regulatory networks associated with pregnancy outcomes. It is a small, 14.9 KB Excel file containing results from network-based analyses of six animals per group.
230 differentially expressed genes and 70 differentially abundant proteins were identified from RNA-Seq and proteomic analysis of peripheral white blood cells from 12 beef heifers. The dataset, created by T. Cody Brown and last updated in April 2026, integrates transcriptomic and proteomic data to investigate molecular signatures associated with pregnancy outcomes. It includes results from over-representation and network analyses, highlighting pathways like chemokine signaling and JAK-STAT signaling.
A 2026 study by T. Cody Brown integrates transcriptomic and proteomic data from peripheral white blood cells of 12 beef heifers (6 fertile, 6 subfertile). The dataset, shared via figshare, includes results from RNA-Sequencing and untargeted proteomics, identifying 230 differentially expressed genes and 70 differentially abundant proteins. Network analyses reveal regulatory patterns and potential biomarkers associated with pregnancy outcomes.
Replication data from a 2026 study published in Perspectives on Politics examines how populist parties blur their policy positions. The dataset, created by author Nicolás de la Cerda, compares party strategies across European and Latin American political systems. It supports the argument that multidimensional party systems and exclusionary ideologies drive populists to blur economic positions.
Preclinical evaluation data for a multi-epitope mRNA vaccine candidate, CoV2-BMEPu, designed for broad SARS-CoV-2 protection. The dataset includes results from in vitro expression, innate immune activation, and immunogenicity and protective efficacy studies in mouse models. Authored by Laura Marcos-Villar and published on figshare under a CC-BY-4.0 license in May 2026.
Supplementary file 1 from a study investigating the role of sex hormones in modulating CD4+ T cell responses in rheumatoid arthritis. The document, authored by Rohila Jha and shared under a CC-BY-4.0 license, details experiments measuring inflammatory markers, antibodies, hormone receptors, and cytokine expression in patient samples. The file was last updated on May 5, 2026.