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Digital Commons Data@Becker

Washington University School of Medicine in St. Louis Showcase

Digital Commons Data@Becker is an institutional data repository for faculty, staff, students and trainees at Washington University School of Medicine to share their data and supporting files in compliance with funder and publisher policies. Refer to our FAQs document and submit the Data Management and Sharing Consultation Request form when you are ready to start the data sharing process. Digital Commons Data@Becker complies with the Desirable Characteristics of Data Repositories recommended by the NIH as described in this table. For more information about our services in this area please visit Becker Library's Data Management and Sharing site or contact BeckerDMS@wustl.edu.

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1970
2025
1970 2025
22 results
  • Genetics of Early Neurological InStability after Ischemic Stroke (GENISIS) - USA
    The Genetics of Early Neurological InStability after Ischemic Stroke (GENISIS) project is a multi-center, prospective cohort study aimed at identifying genetic contributors to neurological changes occurring within the first 24 hours after acute ischemic stroke. For each enrolled participant, NIH Stroke Scale (NIHSS) scores were recorded both within six hours of symptom onset and again at the 24-hour mark to capture early neurological dynamics. This dataset represents the GENISIS-USA cohort, consisting of 871 participants enrolled at U.S. sites as part of a larger international effort spanning seven countries. Prior to release, all data were thoroughly de-identified in accordance with best practices. Measures included application of the mri_reface tool to obscure facial features in imaging, removal of direct identifiers, recoding of sensitive clinical variables, and date shifting of scan timestamps to preserve participant privacy. The shared imaging dataset includes 1,821 CT scans and 57 MR scans, available in both DICOM and NIfTI file formats. The complete dataset occupies approximately 142.6 GB. This dataset is hosted on the Imaging Cerebrovascular Disease Knowledge Portal (iCDKP), which is supported in part by the National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), under Grant No. 1U24NS132940-01. Users are required to acknowledge both iCDKP and its federal funding source in any presentations or publications that utilize the dataset, following the citation guidelines provided on the dataset’s iCDKP page. To request access, users must register for an account and complete a Data Request License Agreement available via the iCDKP request portal: https://sites.wustl.edu/icdkp/request_data/.
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  • Dataset for 'Barcoded SARS-CoV-2 viruses define the impact of duration and route of exposure on the transmission bottleneck in a hamster model'
    SARS-CoV-2’s transmission bottleneck remains poorly characterized, in part due to a lack of quantitative measurement tools. To address this, we adapted a SARS-CoV-2 reverse genetics system to generate a pool of >200 isogenic SARS-CoV-2 viruses harboring specific 6-nucleotide barcodes inserted in ORF10, a non-translated ORF. We directly inoculated donor Syrian hamsters intranasally with this barcoded virus pool and exposed a paired naïve contact hamster to each donor. Following exposure, the nasal turbinates, trachea, and lungs were collected, viral titers were measured, and the number of barcodes in each tissue were enumerated to quantify the transmission bottleneck. The duration and route (airborne, direct contact, and fomite) of exposure were varied to assess their impact on the transmission bottleneck. Primarily, the dataset contains (1) fastq files from next-generation sequencing of a small amplicon that contains the barcode of our barcoded viruses and (2) associated count matrices showing how many of each barcode are present in each sample. Secondarily, RT-qPCR results measuring viral titers in various respiratory tissues are also included.
    • Dataset
  • Astrovirus VA1 infection of mice
    Astroviruses commonly cause of gastrointestinal disease in humans and have been linked to fatal cases of encephalitis. A major barrier to the study of human-infecting astroviruses is the lack of an in vivo model, as previous attempts failed to identify a host that supports viral replication. We describe a novel murine model of infection using astrovirus VA1/HMO-C (VA1), an astrovirus with high seroprevalence in humans. VA1 is cardiotropic and viral RNA levels peak in heart tissue seven days post-inoculation in multiple different murine genetic backgrounds. Infectious VA1 particles could be recovered from heart tissue three- and five-days post-inoculation. Intracellular viral capsid was present in heart tissue by immunostaining and viral RNA was detected in cardiac myocytes, endocardium, and endothelial cells based on fluorescent in situ hybridization and confocal microscopy. Histologically, we identified inflammatory infiltrates consistent with myocarditis in some mice, with viral RNA co-localizing with the infiltrates. These foci contained CD3+ T cells and CD68+ macrophages. Viral RNA levels increased by >10-fold in heart tissue or serum samples from Rag1 or Stat1 knockout mice, demonstrating the role of both adaptive and innate immunity in the response to VA1 infection. Based on the in vivo tropisms, we tested cardiac-derived primary cells and determined that VA1 can replicate in primary human cardiac endothelial cells, suggesting a novel cardiovascular tropism in human cells. This novel in vivo model of a human-infecting astrovirus enables further characterization of the host immune response and reveals a new cardiovascular tropism of astroviruses. Experimental data from astrovirus VA1 infection in mice for the manuscript "Novel murine model of human astrovirus infection reveals a cardiovascular tropism: murine model of astrovirus infection". A total of 199 files containing data including mouse weights, tissue weights, qPCR data, focus forming unit measurement, and imaging files are available.
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  • Dataset for the manuscript titled 'Serosurveillance identifies Bourbon virus neutralizing antibodies in bobcats, coyotes, and red foxes in Missouri'
    Bourbon virus (BRBV) is an emerging pathogen that can cause severe and fatal disease in humans. BRBV is vectored by Amblyomma americanum (lone star ticks), which are widely distributed across the central, southern, and eastern United States. This dataset describes wild animal species captured in two locations close to St. Louis Metro area and their corresponding BRBV neutralizing activity in serum illustrated by IC50 and IC90 values and their capture sites.
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  • Dataset for 'The Impact of a Western Diet High in Phosphate on the CKD-MBD in an Alport Syndrome Model'
    This dataset contains the raw data supporting all figures used in the manuscript "The Impact of a Western Diet High in Phosphate on the CKD-MBD in an Alport Syndrome Model". A mouse model of Alport CKD and wild type littermates are fed either a Western-type high-phosphate diet or a standard vegetable-based diet. Data includes serum biochemistries, plasma protein levels, kidney histology quantifications, kidney mRNA and protein expression levels, and aorta mRNA expression levels.
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  • Dataset for "Perceived Impact and Feasibility of Health Equity Policy Actions among Obesity Practitioners, Researchers, and Policymakers"
    This is a survey dataset from a research survey of U.S. public health practitioners, local policymakers, and researchers active in obesity policy or health equity. They were surveyed to identify local policy actions most salient for addressing health equity. The survey was conducted August through November 2020. It asked respondents to select the most important health equity policy actions and rate them for potential impact for reducing health disparities and feasibility to put in place in the next five years. The Institutional Review Board of Washington University in St. Louis approved this study (IRB ID Number: 202006056). There are two files provided: survey dataset (csv file), and the data dictionary (xlsx file). The survey dataset includes responses from 195 respondents who completed the minimum number of questions necessary for analysis (i.e., selecting the top 10 most important policy actions).
    • Dataset
  • Supporting materials for "Perceived Impact and Feasibility of Health Equity Policy Actions among Obesity Practitioners, Researchers, and Policymakers"
    This is supplementary materials from a research survey of U.S. public health practitioners, local policymakers, and researchers active in obesity policy or health equity. They were surveyed to identify local policy actions most salient for addressing health equity. The survey was conducted August through November 2020. It asked respondents to select the most important health equity policy actions and rate them for potential impact for reducing health disparities and feasibility to put in place in the next five years. The Institutional Review Board of Washington University in St. Louis approved this study (IRB ID Number: 202006056). Supplementary materials include the survey questionnaire, additional research methods and policy action definitions and results summaries from analysis that were not included in the publication.
    • Dataset
  • Qualitative Interviews About Antibiotics Decisions in Older Adults
    Datasets for the manuscript title: Older adults’ and caregivers’ perceptions about urinary tract infection and asymptomatic bacteriuria guidelines: a qualitative exploration. It includes 30 interview transcripts and associated files.
    • Dataset
  • Dataset for 'Immunogenicity and efficacy of XBB.1.5 rS vaccine against EG.5.1 variant of SARS-CoV-2 in Syrian hamsters'
    This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "Immunogenicity and efficacy of XBB.1.5 rS vaccine against EG.5.1 variant of SARS-CoV-2 in Syrian hamsters," published in Journal of Virology (JVI). The data includes measurements of humoral and cellular immune responses in Syrian hamsters following immunization with the nanoparticle recombinant Spike (S) protein-based COVID-19 vaccine (Novavax, Inc.) from different variants. It also includes data comparing the efficacy of the updated monovalent XBB.1.5 variant vaccine to previous COVID-19 vaccines in inducing XBB.1.5 and EG.5.1 neutralizing antibodies and in protecting against a challenge with the EG.5.1 variant of SARS-CoV-2.
    • Dataset
  • Geometry and Function of Dysplastic and Healthy Hips
    This dataset comprises a total of 26,990 magnetic resonance image files capturing the lower spine, pelvis, and femur. The images are sourced from individuals diagnosed with developmental dysplasia of the hip (DDH) as well as control subjects who share similar demographic characteristics. The dataset is organized into 35 folders: 15 folders contain data from control subjects, while 20 folders contain data from patients with DDH. All subjects were female between the ages of 16 and 40 years old at the time of scan. All identifying information has been removed from the images, and they are saved in DICOM format. Each folder has been labeled with a code that begins with "DDH" and is accompanied by either _ctl (indicating a non-dysplastic control) or _pt (indicating a patient with DDH). Within the folder for each participant, there is a 'MRI_TagEdit' folder that contains the DICOM files. The number of files in each folder ranges from 688 to 934. Additionally, a README.txt file is included in each folder, providing details on the number of DICOM files and the file naming convention. To help interpret the data, MASTER-README.txt as well as codesheet.csv are included in this dataset. To facilitate data interpretation, this dataset includes a 'MASTER-README.txt' file which outlines the methodology employed for data collection and generation, data processing methods, and the de-identification procedure used for data sharing. Additionally, a 'codesheet.csv' is provided, containing subject IDs, sex, age, height, weight, and information on whether the subjects were controls or patients with developmental dysplasia of the hip. The collection of this data was conducted with the approval of the Washington University in St. Louis Institutional Review Board (ID# 201612053). Participants provided informed consent for the sharing of de-identified data.
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