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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
18 results
  • 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.
    • Dataset
  • 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.
    • Dataset
  • Dataset for 'Mucosal immunization with ChAd-SARS-CoV-2-S prevents sequential transmission of SARS-CoV-2 to unvaccinated hamsters'
    This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "Mucosal immunization with ChAd-SARS-CoV-2-S prevents sequential transmission of SARS-CoV-2 to unvaccinated hamsters" published in Science Advances. The data contains viral and antibody titers from hamsters not-vaccinated, mucosally vaccinated, or systemically vaccinated and then exposed to SARS-CoV-2 positive hamsters.
    • Dataset
  • Patient Performance and Outcomes after Unilateral Peripheral Nerve Injury
    Data collected from 48 adult human participants with unilateral upper extremity peripheral nerve injury. The data include 89 variables for each participant, including measures of performance, hand usage, life-relevant outcomes, and injury and demographic factors. Data for each participant were collected in a single visit, and participants were recruited based on referral from one nerve surgery clinic or one hand therapy clinic in St. Louis MO USA. The collection of this data was conducted with the approval of the Washington University in St. Louis Institutional Review Board (ID# 201701125). Participants provided informed consent for the sharing of de-identified data.
    • Dataset
  • Dataset for "Adolescent girls with type 1 diabetes develop changes in bone prior to evidence of clinical neuropathy"
    This dataset contains deidentified information from 33 adolescent girls with (n=21) and without (n=12) type 1 diabetes from 12 to 18 years of age. Parameters in the dataset include general demographics and fracture history, general health information, body composition bone mineral density by DXA, bone microarchitecture and strength by HR-pQCT, blood labs, circulating bone turnover biomarkers, and presence of peripheral neuropathy based on the Michigan Neuropathy Screening Instrument. Full details can be found in the associated files. The collection of this data was conducted with the approval of the Washington University in St. Louis Institutional Review Board (ID# 201908120). Participants provided informed consent for the sharing of de-identified data.
    • Dataset
  • Dataset for "Single-nucleus transcriptome analysis reveals a largely conserved ventral pallidal neural landscape across mammals”
    While contemporary work has begun to appreciate the functional diversity of ventral pallidum (VP), the molecular heterogeneity underlying its functional diversity remains incompletely understood. Here, we used snRNA-seq to define the transcriptional taxonomy of distinct cell types in the VP in mice (Mus musculus), macaques (Macaca mulatta) and baboons (Papio anubis). The dataset contains the snRNA-seq data and analysis meta data that are required to reproduce the independent snRNA-seq analysis for each species and integrated analysis, related to Fig 1,3 and 4 of the manuscript.
    • Dataset
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