Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,133 datasets
The Global Health Humanitarian Overview dataset is compiled by the Global Health Cluster Unit's Information Management team. It aggregates figures relevant to humanitarian health responses from publicly validated sources, primarily following the structure of the Humanitarian Response Plan (HRP). The dataset was last updated on 2026-03 09.
A research dataset comparing estrogen and progesterone receptor scores generated by an AI algorithm against assessments by senior and junior pathologists. The data likely contains scores for breast cancer samples to evaluate the algorithm's utility as an independent diagnostic method. The dataset was authored by Kanthilatha Pai and last updated on April 9, 2026.
MRI acquisition parameters from a clinical trial investigating a mindfulness-based neurofeedback intervention for Borderline Personality Disorder. The study protocol involves 52 participants randomly assigned to real or sham neurofeedback, followed by 6 months of dialectical behavior therapy. It is supported by an NIH R61/R33 grant and registered under NCT06446765.
Featuring the inclusion and exclusion criteria for a clinical trial involving 52 participants with Borderline Personality Disorder (BPD). The trial protocol describes a study comparing real versus sham mindfulness-based neurofeedback (mbNF) followed by a 6-month DBT psychotherapy group.
1743 X-ray detected galaxy clusters with standardized properties, compiled by NASA from multiple ROSAT survey catalogs. The catalog provides homogenized data including redshift, coordinates, luminosity, mass, and radius for each cluster. It is made available to support X-ray, Sunyaev-Zel'dovich, and other multiwavelength studies.
Comprising the extracted data from a scoping review of 29 studies on the timing of advance care planning from patient and relative perspectives. The review synthesized empirical research on facilitators, challenges, and triggers related to initiating these conversations, focusing on patients with cancer, heart, or lung disease.
NASA's Chandra X-ray Observatory catalog of 364 point sources in the S254-S258 star-forming complex, observed in November 2009. The catalog provides a complete sample of young stars down to about 0.5 solar masses across an 8x8 parsec field. The study identified three stellar clusters and a widely scattered population of young stars, suggesting a total population of ~2000 young stars in the region.
Two 75 ks Chandra observations from August 2000 analyzed 233 X-ray point sources in the ELAIS N1 and N2 fields. The catalog, created by NASA HEASARC in February 2007, includes source counts and hardness ratios, revealing an overdensity in N1 and an increasing fraction of hard and galaxy-like sources at fainter fluxes. The survey is conducted in regions with extensive multiwavelength coverage.
Supplementary data from a study evaluating the mind map technique for enhancing knowledge gain and long-term retention among medical students. The dataset likely contains normalized ratios and feedback regarding learning physiology through mind maps. It was authored by Rashmi Chandel and last updated on figshare in April 2026.
Supplementary ANOVA tables from a study evaluating the mind map technique for enhancing knowledge gain and long-term retention among medical students. The dataset likely contains statistical summaries comparing study and control groups across two learning modules. It was authored by Rashmi Chandel and published on figshare under a CC-BY-4.0 license.
NGC 6231 Chandra X-Ray Point Source Catalog contains 1,613 X-ray sources detected in a young star cluster. The data was produced by NASA using Chandra ACIS-I observations from July 2005, with a total exposure time of 120.58 ks. It includes cross-identifications with optical and infrared catalogs and provides information on cluster membership, mass, and luminosity.
Estimates quantify the impact of changing health coverage on inpatient bed use and government health spending across 24 years. The dataset, created by Jiaying Stephanie Su, measures averted utilization as a percentage of national hospital bed capacity and averted costs as a percentage of domestic government health spending. It compares an actual scenario against a hypothetical constant coverage scenario from 2000 to 2023.
431 X-ray sources were detected in a deep survey of the young NGC 2516 star cluster using the XMM-Newton satellite's EPIC camera. The catalog, created by NASA HEASARC in May 2007, identifies 234 sources with optical counterparts and 20 new candidate cluster members. Observations span 19 months and achieve high sensitivity, enabling comparison with other young clusters like the Pleiades.
CT values and RNA copy numbers are provided for Crimean-Congo hemorrhagic fever virus (CCHFV) samples, including clinical specimens and tick samples. The dataset, created by Jake D’Addiego, is a small 9.5 KB Excel file last updated in April 2026. Samples were collected from patients with reported contact to a specific case (C18).
Comparison results of key clinical feature ablation (mean ± standard deviation). The dataset, shared by author Chang Qu, was last updated on April 7, 2026. It is a small file of 5.5 KB, stored in an XLS format.
As of the May 2020 CMS Interoperability and Patient Access final rule, this dataset lists U.S. healthcare providers and clinicians who lack digital contact information in the National Plan and Provider Enumeration System (NPPES). It includes National Provider Identifier (NPI) numbers and provider names for public reporting purposes. The dataset is maintained by the Centers for Medicare & Medicaid Services and is relevant for compliance monitoring and healthcare directory management.
A retrospective cohort study analyzing trends and disparities in ambulatory follow-up after cardiovascular hospitalizations, published in Annals of Internal Medicine in September 2024. The dataset likely contains patient-level or aggregated records related to post-discharge care. It was authored by Timothy S. Anderson and colleagues from HCP P01.
Meddies Consultant is a dataset for healthcare AI teams, providing Vietnamese-first clinical consultations and QA supervision. The dataset is a research artifact from Meddies, last updated on April 23, 2026. It is intended for building safer healthcare AI and is not a substitute for clinical oversight.
Replication data and Python code for the paper 'Debt- and Equity-Based Patient Capital and Firm Resilience: Evidence from Chinese A-Share Listed Firms'. The package includes processed datasets and Jupyter Notebook files to reproduce the study's main tables, robustness checks, and figures. Materials were uploaded by Wang, Michael D. to Harvard Dataverse in May 2026.
This dataset contains an R analysis script and six publication-quality figures for a cost-consequence analysis comparing daptomycin-based outpatient parenteral antimicrobial therapy (OPAT) via elastomeric pump with standard inpatient treatment for serious gram-positive infections. The analysis, conducted from the perspective of the Croatian national health insurer (HZZO), includes deterministic sensitivity analysis, probabilistic Monte Carlo simulation, cost-effectiveness acceptability curves, budget impact analysis, and scenario analysis. The R script is fully annotated and compliant with CHEERS 2022 reporting guidelines.