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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
2024
1970 2024
15 results
  • 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
  • Dataset for "Projection-TAGs Enable Multiplex Projection Tracing and Multi-modal Profiling of Projection Neurons"
    Projection-TAGs is a retrograde AAV platform that allows multiplex tagging of projection neurons using RNA barcodes. The dataset contains the sequencing data and analysis meta data that are required to reproduce the snRNA-seq analysis and combinatorial snRNA-seq and snATAC-seq analysis related to Fig 2 ("a multi-modal single-cell atlas of mouse cortex") of the manuscript.
    • Dataset
  • Tumor-derived Interleukin-1α and Leukemia Inhibitory Factor promote extramedullary hematopoiesis
    This dataset contains raw data supporting all figures and supplemental figures, except for single cell RNA sequencing data and serum cytokine profiling data, used in PLOS Biology paper, Tumor-derived interleukin-1α and leukemia inhibitory factor promote extramedullary hematopoiesis (DOI: https://doi.org/10.1371/journal.pbio.3001746). This dataset includes 31 folders organized by Figure number and description of data type (flow cytometry, RT qPCR, ELISA, Immunofluorescence) and each folder contains a data dictionary file to describe variables.
    • Dataset
  • A randomized, open-label study of the tolerability and efficacy of one or three daily doses of ivermectin plus diethylcarbamazine and albendazole (IDA) versus one dose of ivermectin plus albendazole (IA) for treatment of onchocerciasis
    Data collected from participants at during a clinical trial in Hohoe, Ghana where participants are identified by a unique participant ID. There are two datasets. The Safety dataset includes demographics, skin snip results, adverse event results, and ophthalmological data from baseline, day of treatment, Day 1-7, Month 3, Month 12, and Month 18. The Nodulectomy data set contains data pertaining to sectioned nodules read by scientists at 18 months which indicate embryogenesis in female worms, number of male and female worms, and worm calcification.
    • Dataset
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