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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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2026
1970 2026
52 results
  • BPTF is essential for vaccine-induced germinal center B cell responses [dataset]
    This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "BPTF is essential for vaccine-induced germinal center B cell responses," published in Journal of Immunology. The data includes measurements of cellular immune responses in wild-type and transgenic mice following immunization with the mRNA-lipid nanoparticle-based SARS-CoV-2 spike vaccine. It also includes data analyzing the transcriptomic profile of mouse and human B cells responding to vaccination with mRNA-lipid nanoparticle-based SARS-CoV-2 spike vaccine.
  • ADRC Data Freeze Ending 2025-09-30
    The Knight Alzheimer Disease Research Center (ADRC) Data Freeze Ending 2025-09-30 is a longitudinal compilation of harmonized, processed research data collected from August 1, 1979 through September 30, 2025. This Data Freeze represents a fixed, versioned snapshot of curated datasets maintained by the ADRC and is intended to support reproducible secondary analyses under approved data use agreements. The Data Freeze includes data contributed by multiple ADRC Cores, including clinical assessments, cognitive testing, neuropsychological measures, neuroimaging data summaries, fluid biomarker data, neuropathology variables, and related research measures. Modules are compiled, quality controlled, and integrated according to ADRC Data Management and Sharing procedures prior to freeze finalization. This dataset reflects the full longitudinal structure of ADRC participant data available as of the official cutoff date (September 30, 2025). No data collected after this date are included in this release. Each subsequent Data Freeze constitutes a new versioned dataset with its own DOI. The purpose of this Data Freeze is to: 1. Provide a stable, citable dataset snapshot for approved secondary analyses 2. Support NIH Data Management and Sharing (DMS) policy compliance 3. Enable transparency, reproducibility, and longitudinal tracking of dataset versions This repository record provides metadata describing the Data Freeze and assigns a persistent DOI to this version. The underlying human subject data are stored in a secure Research Infrastructure Services (RIS) environment and are not publicly downloadable. Access to this dataset is controlled and requires submission of a formal data request through the Knight ADRC Request Center. Approved investigators must complete the appropriate Data Use Agreement prior to receiving access. Upon approval, access to the static dataset corresponding to this DOI will be granted through ADRC-managed secure infrastructure. Investigators using this Data Freeze must cite this dataset DOI in all resulting publications and acknowledge Knight ADRC funding as specified in the Data Use Agreement. This dataset was generated and curated by the Knight ADRC Data Management and Statistics Core in collaboration with contributing ADRC Cores. For information about submitting a data request, please visit: https://knightadrc.wustl.edu/professionals-clinicians/request-center-resources/submit-a-request/
  • ADRC Data Freeze Ending 2026-03-31
    The Knight Alzheimer Disease Research Center (ADRC) Data Freeze Ending 2026-03-31 is a longitudinal compilation of harmonized, processed research data collected from August 1, 1979 through March 31, 2026. This Data Freeze represents a fixed, versioned snapshot of curated datasets maintained by the ADRC and is intended to support reproducible secondary analyses under approved data use agreements. The Data Freeze includes data contributed by multiple ADRC Cores, including clinical assessments, cognitive testing, neuropsychological measures, neuroimaging data summaries, fluid biomarker data, neuropathology variables, and related research measures. Modules are compiled, quality controlled, and integrated according to ADRC Data Management and Sharing procedures prior to freeze finalization. This dataset reflects the full longitudinal structure of ADRC participant data available as of the official cutoff date (March 31, 2026). No data collected after this date are included in this release. Each subsequent Data Freeze constitutes a new versioned dataset with its own DOI. The purpose of this Data Freeze is to: 1. Provide a stable, citable dataset snapshot for approved secondary analyses 2. Support NIH Data Management and Sharing (DMS) policy compliance 3. Enable transparency, reproducibility, and longitudinal tracking of dataset versions This repository record provides metadata describing the Data Freeze and assigns a persistent DOI to this version. The underlying human subject data are stored in a secure Research Infrastructure Services (RIS) environment and are not publicly downloadable. Access to this dataset is controlled and requires submission of a formal data request through the Knight ADRC Request Center. Approved investigators must complete the appropriate Data Use Agreement prior to receiving access. Upon approval, access to the static dataset corresponding to this DOI will be granted through ADRC-managed secure infrastructure. Investigators using this Data Freeze must cite this dataset DOI in all resulting publications and acknowledge Knight ADRC funding as specified in the Data Use Agreement. This dataset was generated and curated by the Knight ADRC Data Management and Statistics Core in collaboration with contributing ADRC Cores. For information about submitting a data request, please visit: https://knightadrc.wustl.edu/professionals-clinicians/request-center-resources/submit-a-request/
  • Acute Slow Oscillation Power After Photothrombotic Stroke Wide-Field Calcium Imaging, Behavioral, and Histological Dataset
    This dataset contains multimodal neuroscience data collected from 25 adult Thy1-GCaMP transgenic mice (~8–12 months of age) undergoing photothrombotic (PT) stroke, generated to assess functional and behavioral changes at acute and chronic timepoints following ischemic injury. Data were acquired from a single biological source — live mice — with tissue samples subsequently processed for post-mortem histological analysis. Three data modalities are included: widefield calcium imaging (WFCI) capturing cortex-wide neural activity via the genetically encoded calcium indicator GCaMP; behavioral data from the cylinder rearing test, which quantifies forelimb asymmetry as a measure of sensorimotor deficit; and histological data comprising both Cresyl Violet (Nissl) staining for lesion visualization and immunohistochemistry (IHC) for protein-specific labeling. Each mouse was assessed at three experimental timepoints: baseline (pre-stroke), acute (24 hours post-PT stroke), and chronic (one week post-PT stroke), with histology collected only at the post-chronic endpoint. The dataset is hierarchically organized under a top-level /data directory containing three primary modality folders: /behavior, /WFCI, and /histology. The /behavior folder is organized by mouse ID (e.g., /M01) and then by timepoint (/bsl, /acute, /weekone), containing raw video recordings, Excel-format scoring sheets, and aggregated GraphPad Prism files summarizing results across all animals. The /WFCI folder is subdivided into three processing tiers — /Raw (unprocessed imaging files), /Tier1_Derived (intermediate processed data), and /Tier2_SourceData (analysis-ready outputs organized by mouse and timepoint) — supporting reproducibility from raw acquisition through final analysis. The /histology folder contains two subfolders, /cresyl_violet and /IHC, holding stained tissue section images. File formats include TIFF images for histology, CSV and XLSX for behavioral scoring, and standard video formats for raw behavior recordings. The organizational rationale — mouse ID → modality → timepoint — enables straightforward longitudinal comparisons within subjects and cross-sectional comparisons across the cohort. Data were generated by Jake Lee and Arnav Ajay Jadav in the Landsness Lab, Department of Neurology, Washington University in St. Louis (contact: jake.l@wustl.edu), and are suitable for analyses of stroke-induced changes in cortical dynamics, motor behavior, and structural pathology.
  • CBD for CLN2 disease [dataset]
    This dataset provides supporting data for the manuscript titled "Chronic oral cannabidiol delays or prevents seizures in a mouse model of CLN2 disease" and is deposited to comply with PLOS One data availability requirements. The data shows that chronic treatment with cannabidiol confers significant anti-seizure benefit to the mouse model of CLN2 disease, and that it does not appear to do so by altering the inflammatory and neuroimmune markers traditionally used to track CLN2 disease progression. There are four files corresponding to Figures 1 to 3 and Table S1.
  • Real-Time Photothrombosis (RT-PT) Enables Spatially Versatile Focal Ischemia and Continuous Electrophysiological Monitoring in Freely Behaving Mice [dataset]
    Poststroke sleep disruption is a major determinant of recovery, yet how lesion location shapes hyper-acute and acute changes in sleep architecture remains poorly understood. To address this gap, we developed real-time photothrombosis (RT-PT) in a mouse model that enables spatially targeted focal ischemia with continuous EEG/EMG monitoring from the moment of stroke induction without the confounding effects of anesthesia. This dataset provides real-time electrophysiological recordings (EEG/EMG) from 18 mice undergoing focal ischemia via RT-PT. By delivering laser light through implanted optical fibers, we induced titratable ischemic strokes in the forelimb somatosensory cortex (SSC), intralaminar thalamus (IT), or CA1 region of the hippocampus (CA1) while animals remained awake and freely behaving. The dataset captures neural dynamics across the hyper-acute (0–24 hr) and acute (1–4 days) phases of stroke, comprising 18 raw EDF recordings and 270 manually corrected AccuSleep scoring files. The shared dataset is organized into a hierarchical structure indexed by target infarct region and Mouse ID. Root Directory: RT-PT Dataset (AccuSleep Files: Divided into target region subfolders (SSC, IT, and CA1). Each folder contains the raw, continuous 5-day EDF recording for each mouse, alongside 15 AccuSleep files (signal, label, and calibration) split into 24-hour intervals.; Codes: Contains 13 scripts and notebooks organized into three functional subfolders: Vigilance State\, \Fragmentation\, and \Spectra\, with each subfolder housing the respective code files for that analysis.; Analysis (Master Directory): Contains the consolidated "Sleep Macrostructure Analysis.csv" master spreadsheet, which aggregates all vigilance and fragmentation values from the individual AccuSleep labels. This directory also includes individual infarct images and composite PDF figures for histological validation.; GraphPad Prism Files: Contains four files that directly visualize the data from the master CSV, illustrating both raw and normalized longitudinal trends.; Additional Information: Supplemental materials, including the conference poster (.pptx and .pdf) detailing the RT-PT methodology and the guideline for AccuSleep scoring and EDF analysis with the codes provided. Additional information is in the Manuscript.docx file.
  • Embargoed - 25 June 2026
    Prevalence of Criminal Legal Involvement Among Emergency Department Patients: Insights from the National Survey on Drug Use and Health 2021-2023 [dataset]
  • Dataset for 'Intranasal boosting induces variant-specific responses in SARS-CoV-2 vaccine-imprinted mice'
    This dataset contains the raw data supporting main Figures 1-5 and Extended Data Figures 1-10 used in the manuscript "Intranasal boosting induces variant-specific responses in SARS-CoV-2 vaccine-imprinted mice" submitted to Nature Communications. The dataset includes antibody titers in the serum and bronchoalveolar lavage fluid of mice immunized with SARS-CoV-2 mRNA or chimpanzee adenoviral-vectored vaccines at various regimens. The dataset also includes pseudovirus neutralization results and flow cytometry analysis of vaccinated mice. Vaccinations were conducted in wild-type C57BL/6J mice or animals expressing human ACE2 (K18-hACE2 mice). Neutralization assays were performed using Vero cells overexpressing TMPRSS2.
  • Restricted Access
    The Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) Study
    The Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) study is a large, prospective, multi-center case-control study focused on identifying genetic and epidemiological risk factors for intracerebral hemorrhage (ICH), with an emphasis on enrolling participants from underrepresented racial and ethnic groups. The study was designed to address known disparities in ICH incidence, location, and outcomes among non-Hispanic white, Black, and Hispanic populations. The published dataset includes DICOM and NIFTI images from 2,942 subjects. Cases were identified through a rapid “hot-pursuit” enrollment strategy at clinical sites, while controls were selected through random digit dialing and matched to cases by age, sex, race/ethnicity, and geographic region. The imaging component of the dataset includes 7,988 CT sessions and 1,472 MR sessions, collected using standardized protocols across participating centers. This dataset provides a valuable resource for studying the radiographic features of ICH and supports analyses of hemorrhage patterns, severity, and outcomes in a racially and ethnically diverse population. 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. Imaging data has been de-identified and refaced. 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/.
  • Restricted Access
    Data from the STEP-HI Randomized Clinical Trial
    This phase 3 double-blind, placebo-controlled randomized clinical trial, Starting a Testosterone and Exercise Program After Hip Injury (STEP-HI), was conducted at 8 US sites between December 2018 and August 2023. Participants were women aged 65 years or older with a recent surgical repair of a nonpathologic femur fracture, met objective criteria for mobility impairment, and were community dwelling after discharge from rehabilitation. During the first 14 months of the trial, participants were randomly assigned to 1 of 3 treatment groups: exercise plus topical testosterone gel, exercise plus placebo gel, or enhanced usual care. Statistical analysis, using a modified intention-to-treat approach, was performed from November 2023 to November 2024.