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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,014 datasets
Yi Lu's research dataset contains transcriptomic data from two cohorts (GSE58150 and GSE211752) used to identify metabolic reprogramming features and biomarkers for coronary artery calcification. The discovery cohort included 8 CAC and 8 control samples, while the validation cohort comprised 6 CAC and 6 control samples. The study identified 138 upregulated and 104 downregulated genes, with PXDN highlighted as a promising circulating biomarker.
A clinical study dataset comparing the diagnostic performance of specific IgE to house dust mite extracts versus two molecular allergen combinations for asthma diagnosis. The data includes results from 201 adults with asthma and matched controls, with analysis of receiver operator characteristics and associations with type 2 inflammation biomarkers. The dataset was authored by Victoria Marrugo and last updated in April 2026.
A scoping review of 72 studies mapping the integration of artificial intelligence and precision nursing in operating room settings. The dataset was created by Li Gong and last updated in April 2026. It synthesizes evidence on clinical applications, outcomes, and implementation challenges from studies published between January 2010 and March 2025.
10.8 KB Excel table details demographic and clinical characteristics of patients with juvenile localized scleroderma. The data includes disease duration, initial clinical activity and damage scores, and concomitant therapy details. Author Yajun Wang published it on figshare under a CC-BY-4.0 license in April 2026.
A 671.6 KB document authored by Tanmoy Mondal and last updated on April 10, 2026. This review critically examines shrimp allergy, focusing on diagnostic challenges and potential environmental drivers within African American populations in the United States.
A Digital Terrain Model (DTM) from the Ordnance Survey of Northern Ireland (OSNI) provides a grid of regularly spaced points of known height for creating 3D land surface images. This download contains data for OSNI 10k sheet numbers 1 through 50. The dataset is published by the Government Digital Service under an Open Government Licence.
Queensland Health performance reporting on the Queensland Government On-Time Payment policy. The dataset is published by Queensland Health and was last updated on May 12, 2026. It is available in CSV and XLSX formats under a Creative Commons Attribution 4.0 license.
A single case report details the presentation and management of a giant mid-esophageal leiomyoma in a 22-year-old male Syrian patient. The report, authored by figshare admin karger and last updated in April 2026, describes the patient's symptoms, diagnostic imaging, surgical procedure, and histopathological findings. It is a 1.2 MB PDF file.
107 rectal cancer patient cases provide Computed Tomography (CT) imaging data for medical image analysis. The dataset originates from Problem B of the 2019 Teddy Cup Data Mining Challenge and has been filtered to exclude negative samples. Author Yuyan Bin uploaded this 48.8 MB ZIP file under a CC-BY-4.0 license.
OSNI Open Data provides a Digital Terrain Model (DTM) consisting of a grid of regularly spaced points of known height for Northern Ireland. The dataset covers Ordnance Survey Northern Ireland (OSNI) 10k sheet numbers 251-293 and can be used to create a 3D image of the land surface when combined with other data like maps or orthophotographs. The Government Digital Service publishes this dataset under the LPS Open Government Data Licence.
Northern Ireland's Ordnance Survey provides a Digital Terrain Model (DTM) consisting of a grid of regularly spaced points of known height. This download covers 10k sheet numbers 151-200, offering data that can be used to create a 3D image of the land surface. The dataset is published by the Government Digital Service under an Open Government Licence.
A Digital Terrain Model (DTM) provides a 3D image of the land surface through a grid of regularly spaced points of known height. This 50-meter resolution DTM is published by the Ordnance Survey of Northern Ireland (OSNI) as open data. The dataset is large and may take significant time to download.
A Digital Terrain Model (DTM) from the Ordnance Survey of Northern Ireland (OSNI) covering sheet numbers 51-100. The dataset consists of a grid of regularly spaced points of known height, providing a 3D representation of the land surface. It is published by the Government Digital Service under an Open Government Licence.
A Digital Terrain Model (DTM) is a grid of regularly spaced points of known height providing a 3D image of the land surface. This download contains OSNI 10k sheet numbers 201-250. The dataset is published by the Government Digital Service for OpenData under the LPS Open Government Data Licence.
OSNI Open Data provides a Digital Terrain Model (DTM) for Northern Ireland, consisting of a grid of regularly spaced points of known height. The dataset covers OSNI 10k sheet numbers 101-150 and is published by the Government Digital Service under an Open Government Licence. The DTM can be used with other digital data to create a 3D image of the land surface.
20 interview transcripts from a 12-month pilot study exploring the acceptability of a patient-focused component for the ImPart decision support intervention. The data was collected by Shena Gazaway from July 2022 to October 2022, involving patient-caregiver dyads where 50% of participants identify as Black. These interviews describe health-related decision-making experiences, needs, and challenges.
Twenty-one semi-structured interviews were conducted with a purposive sample of local health department officials in 2014–2015. The data supports a qualitative study by Jonathan Purtle to understand perceptions of population mental health and develop a conceptual framework for LHD engagement. This is an Annotation for Transparent Inquiry (ATI) data project hosted on Dataverse.
Qualitative interview transcripts from family members of patients transferred from acute care to ICU services at a level-1 trauma center in Seattle, WA. Data were coded based on a validated conceptual model of clinician-surrogate communication using ATLAS.ti software. The dataset includes thematic aggregate tables with excerpts from interview transcripts.
The Processed HLCA Dataset is a 2.9 GB processed version of the Human Lung Cell Atlas in AnnData format, uploaded by Eljas Roellin. It originates from the flagship paper published in Nature Medicine in 2023. The dataset was last updated on figshare in May 2026.
Daniel Gomez-Vargas published a mixed-methods survey dataset on figshare in April 2026. It contains anonymized responses from 43 participants, including 27 patients with foot drop and 16 clinicians. The dataset includes structured survey instruments, System Usability Scale responses, and qualitative open-ended responses.