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This dataset contains the raw data supporting main Figures 1-5 and Supplementary Figures 1, 2, 3, 4, 6 used in the manuscript "Fc-engineered antibodies enhance protection against SARS-CoV-2 lung infection and inflammation" submitted to mBio. The dataset includes viral RNA and infectious virus titers of mice treated with control antibodies or S309 monoclonal antibodies given either before or after SARS-CoV-2 infections. The dataset also includes flow cytometry analysis, lung ventilation analysis, lung pathology, RNA sequencing analysis, weight loss measurement, and antibody titers of treated mice. Some in vitro characterization of antibodies was generated using Jurkat cells.

In the accompanying publication, we reported on the production and characterization of the broadest K. pneumoniae capsule bioconjugate vaccine to date. We tested this vaccine for its immunogenicity, functionality, efficacy, and antibody durability against a variety of K. pneumoniae isolates in a murine bacteremia model. We also established an immunocompromised murine model of bacteremia to better recapitulate human infection and tested our vaccine’s efficacy in this background. The data included in the metadata set includes ELISAs, serum bactericidal assay, opsonophagocytosis assay, and survival curves. All data was generated in mice. GraphPad Prism is needed to open the data files. To view the data, use the free viewer mode of the software.

This is version 2 which is available now

This dataset contains the underlying search results, screening outputs, classification data, and derived analytical files used in the article Perspectives on Venture Capital: A practitioner-oriented bibliometric and systematic review. The dataset was generated with the survey-results / article-analysis-public NLP toolkit, which supports a PRISMA-based literature review workflow by querying multiple digital libraries, removing duplicate records, screening articles against inclusion and exclusion criteria, and automatically tagging records based on predefined thematic properties. In this study, the search covers publications from 2010 to 2022 and focuses on venture capital related literature identified through keyword-based queries such as venture capital, private equity, angel investor, and business angel. The dataset documents the full article selection pipeline, from the initial retrieval of records to the final analytical corpus used in the manuscript. It includes raw or intermediate search outputs, deduplicated records, filtered article tables, search configuration files, bibliometric summaries, and derived visualizations and tabulations used to support the review. Records are classified using title and abstract text into the main thematic areas examined in the article, namely ESG and sustainability, innovation, and exit strategy. Depending on the file, variables may include article title, authors, year, source database, URL or DOI, abstract, matched search keyword, assigned topic tags, relevance indicators, duplicate status, and inclusion or exclusion decisions. This dataset is intended to support transparency and reproducibility of the review process, allowing readers to trace how the final corpus was constructed and how the descriptive and bibliometric outputs were produced. In addition to the data files, the associated code repositories provide the software used to generate the screening, tagging, aggregation, and visualization outputs reported in the article.

This dataset contains information about cybersecurity vulnerabilities affecting healthcare systems. The data is structured according to the Common Vulnerabilities and Exposures (CVE) standard and includes details such as vulnerability identifiers, descriptions, severity levels, CVSS scores, and publication dates. The dataset is designed to support cybersecurity research, vulnerability assessment, and risk analysis in healthcare infrastructure. The dataset focuses on identifying high-severity vulnerabilities that may potentially be exploited as zero-day attacks, enabling researchers to study threat patterns and develop defensive mechanisms. Each entry represents a vulnerability instance that may impact healthcare software, medical devices, or healthcare information systems. The vulnerability severity is measured using the Common Vulnerability Scoring System (CVSS), which provides a standardized way to assess the potential impact of security vulnerabilities. The dataset can be used for tasks such as vulnerability prioritization, risk assessment, anomaly detection research, and security model development.

Hg and OC data of R11 core sediment

This study examines the interfacial properties of transformer oils. Their wetting behavior was evaluated using static contact angle (CA) measurements and by assessing the influence of external high-voltage electric fields on droplet deformation. Two categories of high-voltage experiments were performed: (i) gradual voltage increase up to 7 kV to observe quasi-static deformation, and (ii) step-voltage excitation at 3.5 kV, 5.5 kV, and 6.5 kV to investigate dynamic droplet response. The results indicate a consistent decrease in contact angle with increasing electric field strength. Ester-based oils exhibited higher stability under electric stress, while mineral oils showed more pronounced droplet deformation. The findings contribute to understanding the interfacial behaviour of insulating liquids under electric field stress and provide insight into their suitability for advanced diagnostic evaluation of transformer insulation systems. The directories contain time records of parameters during contact angle measurements on insulating liquids used in the power industry. The time record is in a text file. The data set has six columns, separated by spaces. The first line represents the header. Individual columns represent the following quantities: 1st column: time (s), 2nd column: CA from the left (°), 3rd column: CA from the right (°), 4th column: average of CAs (°), 5th column: drop volume (μl), 6th column: baseline (mm). In the main directory, the data are measured in a static electric field generated by voltages ranging from 0 to 7 kV, with a step of 500 V. The corresponding subdirectory contains data measured during a step change in the electric field, generated by the voltage, from 0 V to 3.5 kV, 5.5 kV, and 6.5 kV, and vice versa. The names of the data files in the main directories are in the following structure: oil name_value of the applied voltage_series of measurements, e.g., Midel7131_0V_1. The names of the data files in the subdirectories are in the following structure: oil name_value of the initial applied voltage_value of the final applied voltage, e.g., Midel7131_0V_3500V. Directory designation and meaning of abbreviations: Midel7131: Midel 7131 (synth. ester) MideleN1204: Midel eN 1204 (nat. ester) Mogul_trafoCZ-A: Mogul trafo CZ-A (inhibited mineral oil) MOL_TO40A: MOL TO 40A (inhibited mineral oil) ShellDialaS5: Shell Diala S5 (biodegradable insulating oil) There are two text files in the Scripts directory: The first file, ca_prof2.py, is a Python 3 script that reads data from the data files. By default, it draws a violin plot from the read data. The user can change the plot to an error bar, and the mean of means can be calculated and drawn. The graphical output can be saved to PDF and SVG. The second file, named ca_time.py, is a Python 3 script used to plot data from subdirectories that store a ten-second record of stepwise application (or removal) of voltage to the electrodes.

Research data

This dataset contains the final and editable figures, tables, spreadsheet datasets, and raw image data used in the final publication and supplementary information of 'Microbial oxidation and carbonate cementation led to three-dimensional preservation of ichthyosaur bones' by Jian et al. (2026) in Communications Earth & Environment. CT Models contains .tif files of the 3D CT-segmented bones within concretion used in Figure 1. The raw CT scan files and 3D model files cannot be shared due to privacy concerns. Figures SVG Versions contains .svg format of main Figures 1 to 4 and Supplementary Information Figures 1 to 8. Main Figures and Supplementary Figures - Final Versions contains .pdf and .tif versions of main Figures 1 to 5 and .pdf and .png versions of and Supplementary Information Figures 1 to 8. Rock Eval and Stable Isotopes Data contains Excel spreadsheets of the Tables used in the main manuscript and the spreadsheets 'Rock Eval and Isotopes Dataset.xlsx' used to generate scatter chart figures. SEM Images and EDS Data contains .tif images of SEM micrographs used in the main manuscript and EDS reports of each respective site in .docx format. Specimen Photos contains the .png and .jpg images of the fossil specimen and each sampled component. Thin Section Micrographs contains .jpg format images of petrographic micrographs of bone and concretion sample thin sections.

soil properties