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1,427 results for “Heart diseases”
Interstage single ventricle heart disease infants show dysregulation in multiple metabolic pathways: targeted metabolomics analysis - Data
<p>The data in this Zenodo entry corresponds to the data used to produce the results in <a href="https://www.jacc.org/doi/full/10.1016/j.jacadv.2022.100169">https://www.jacc.org/doi/full/10.1016/j.jacadv.2022.100169</a>. The zipped folder contains three files</p> <ul> <li>Metabolite Data.csv - The meatobilte measurements for all the samples</li> <li>Clinical Data.csv - Values for the clinical variables</li> <li>Clinical Data Descriptions.csv - More in depth explanation of clinical variables as well as possible values of the variables</li> </ul> <p><span>This study was supported by the American Heart Association (AHA</span><span>20CDA35310498 and AHA18IPA34170070) and the National Institutes </span><span>of Health (NIH/NCATS Colorado CTSA, No. UL1 TR001082 and NIH/</span><span>NHLBI K23HL12363</span></p>
Fig.3. Relation between depression level expresed Fig.4 in Oxidative Stress Indicators, Depression And Qua Lity Of Live L Evel S In Co Rona Ry Heart Disease Patients
Fig.3. Relation between depression level expresed Fig.4. Box plot displaying the distribution of the in Geriatric depression score points and oxidative data showing differences in Geriatric depression stress parameter (GPx) score points in primary and recurrent SCHD patients according to gender.
Fig.1. Relation between depression level expresed Fig.2 in Oxidative Stress Indicators, Depression And Qua Lity Of Live L Evel S In Co Rona Ry Heart Disease Patients
Fig.1. Relation between depression level expresed Fig.2. Relation between depression level expresed in Geriatric depression score points andlevelof in Geriatric depression score points and oxidative life Quality. stress parameter (MDA).
An Open-access Database for the Evaluation of Cardio-mechanical Signals from Patients with Valvular Heart Diseases
<p>This dataset is for the paper "An Open-access Database for the Evaluation of Cardio-mechanical Signals from Patients with Valvular Heart Diseases" published to Frontiers in Physiology. Please cite "Yang C, Fan F, Aranoff N, Green P, Li Y, Liu C and Tavassolian N (2021) An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases.<br> Front. Physiol. 12:750221. doi: 10.3389/fphys.2021.750221" when using this database.</p> <p>The archive comprises SCG and GCG recordings sourced from and processed at multiple sites worldwide, including Columbia University Medical Center and Stevens Institute of Technology in the USA, as well as Southeast University, Nanjing Medical University, and the first affiliated hospital of Nanjing Medical University in China. It includes electrocardiogram (ECG), SCG, and GCG recordings collected from 100 patients with various conditions of valvular heart diseases, such as aortic and mitral stenosis. The recordings were collected from clinical environments with the same types of wearable sensor patch. Besides the raw recordings of ECG, SCG and GCG signals, a set of hand-corrected fiducial point annotations is provided by manually checking the results of the annotated algorithm. The database also includes relevant echocardiogram parameters associated with each subject such as ejection fraction, valve area, and mean gradient pressure.</p>
Reducing Hopelessness Through Improved Physical Activity in Adults With Heart Disease: With COVID-19 Considerations
ClinicalTrials.gov study NCT03907891. IPD Sharing: YES. Countries: 1. Publications: 5.
A Study to Investigate the Efficacy, Safety, and Tolerability of DFV890 and MAS825 for Inflammatory Marker Reduction in Adult Participants With Coronary Heart Disease and Clonal Hematopoiesis of Indet
ClinicalTrials.gov study NCT06097663. IPD Sharing: YES. Countries: 3. Publications: 1.
Perceived Social Support, Heart Rate Variability, and Hopelessness in Patients With Ischemic Heart Disease
ClinicalTrials.gov study NCT05003791. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Occupational exposure to silica and risk of heart disease: a systematic review with meta-analysis
<p><b><span>Objective</span></b> To search for evidence of the relationship between occupational silica exposure and heart disease.</p> <p><b><span>Design</span></b> A systematic review and meta-analysis.</p> <p><b><span>Background</span></b> Growing evidences suggest a connection between occupational silica exposure and heart disease; however, the link between them is less clear.</p> <p><b><span>Data sources </span></b>PubMed, ScienceDirect, Springer and EMBASE were searched for articles published between 1 January 1995 and 20 June 2019. Articles that investigated the effects of occupational silica exposure on heart disease risk were considered.</p> <p><b><span>Study selection </span></b><span>We included c</span><span>ohort stud</span><span>ies</span>, including prospective, retrospective and retro-prospective studies.</p> <p><b><span>Data extraction and synthesis</span></b> We extracted data by using a piloted data collection form and conducted random-effects meta-analysis and exposure-response analyses. The meta-relative risk (meta-RR), a measure of the average ratio of heart disease rates for those with and without silica exposure, was used as an inverse variance-weighted average of relative risks from the individual studies. The Newcastle-Ottawa Quality assessment Scale about cohort studies was used for study quality assessment.</p> <p><b><span>Outcome measure</span></b> We calculated heart disease risks of pulmonary heart disease, ischaemic heart disease and other heart diseases.</p> <p><span><b><span>Results</span></b> Twenty cohort articles were included. Results suggest a significant increase of overall heart disease risk (meta-RR = 1.08, 95% CI = 1.03, 1.13). Stronger evidences of association with pulmonary heart disease were found through both categories of heart disease risk estimate (meta-RR = 1.24, 95% CI = 1.08, 1.43) and exposure-response analyses (meta-RR = 1.39, 95% CI = 1.19, 1.62). Moreover, our subgroup analyses revealed that the statistical heterogeneity among studies could be attributed mainly to the diversities of reference group, occupation and study quality score.</span></p> <p><b><span>Conclusions</span></b> Silica-exposed workers have increased risk of overall heart disease, especially pulmonary heart disease. While further research is needed to better clarify the relationship between occupational silica exposure and ischaemic heart disease.</p>
Transcriptomic atlas reveals organ-specific disease tolerance in sickle cell mice. Dataset for HbAA heart injected or not with heme
<p>The objective of this experiment was to explore the transcriptome of the HbSS Townes mouse model of sickle cell disease.Townes model mice carry several human hemoglobin knock-in genes replacing the endogenous mouse genes and may be useful in studying sickle cell disease.All mice were genotyped, age- and sex-matched littermates. All HbAA (control, normal human hemoglobin) vs HbSS (sickle cell disease, mutated human hemoglobin) mice were used for experimentations at 6-8 weeks of age, to limit intra-group heterogeneity. Hemin (Ferriprotoporphyrin IX) was purchased from Frontiers Scientific and injected intravenously (iv.) in a retroorbital sinus at a concentration of 24 µmol/kg. Control mice received PBS instead. Mice were anesthetized with isoflurane 2-3% for injections, blood collection and sacrifice. All mice were sacrificed by cervical dislocation, 4 hours after injection.</p> <p>The results of heart (indicated coeur) from HbAA mice injected or not with heme are presented here . </p> <p>The results of heart (indicated coeur) from HbSS mice injected or not with heme can be found at number 10.5281/zenodo.10964159</p> <p>Thirty μm-thick frozen tissue sections of kidneys were cut as above and homogenized in 200μL of 1-Thioglycerol/Homogenization Solution (Maxwell® 16 LEV simplyRNA Tissue Kit Promega AS1280). The quality and quantity of mRNA were evaluated using a 2100 bioanalyzer with TNA 6000 NanoKits (all Agilent Technologies, Palo Alto, CA, USA). RNA Integrity Numbers superior to 7 were eligible for subsequent reverse transcription into cDNA. RNAseq was performed at the GenomIC plateform Cochin Institute INSERM U1016. After RNA extraction, RNA quality (RNA integrity number) was estimated. 1μg of high-quality total RNA sample (RIN &gt;7) was processed to build up the libraries, using TruSeq Stranded mRNA kit (Illumina) according to manufacturer instructions. Briefly, purified poly-A containing mRNA molecules were fragmented and reverse-transcribed using random primers. Replacement of dTTP by dUTP during second strand synthesis allowed us to achieve strand specificity. Addition of a single A base to the cDNA was followed by ligation of Illumina adapters.<br>Libraries were quantified by qPCR using KAPA Library Quantification Kits for Illumina Libraries (KapaBiosystems, Wilmington, MA). Library profiles were assessed using DNA High Sensitivity LabChip kits on an Agilent Bioanalyzer. Libraries were sequenced on an Illumina Nextseq 500 instrument using 75 base-lengths read V2 chemistry in a paired-end mode. After sequencing, primary analysis based on AOZAN software (ENS, Paris), was applied to demultiplex and control the quality of the raw data (based of FastQC modules / version 0.11.5).</p> <p>The dataset here represents 4 groups of mice, 4 mice per group as follows: HbAA PBS, HbAA heme, HbSS PBS, HbSS heme. </p>
Transcriptomic atlas reveals organ-specific disease tolerance in sickle cell mice. Dataset for HbSS heart injected or not with heme
<div> <p>The objective of this experiment was to explore the <span>transcriptome</span> of the <span>HbSS Townes</span> <span>mouse model</span> of <span>sickle cell disease</span>.Townes model mice carry several human hemoglobin <span>knock-in</span> genes replacing the endogenous mouse genes and may be useful in studying <span>sickle cell disease</span>.All mice were <span>genotyped</span>, age- and sex-matched littermates. All <span>HbAA</span> (control, normal human hemoglobin) vs HbSS (<span>sickle cell disease</span>, mutated human hemoglobin) mice were used for experimentations at 6-8 weeks of age, to limit intra-group <span>heterogeneity</span>. <span>Hemin</span> (<span>Ferriprotoporphyrin IX</span>) was purchased from <span>Frontiers Scientific</span> and injected <span>intravenously</span> (iv.) in a retroorbital sinus at a concentration of 24 µmol/kg. Control mice received <span>PBS</span> instead. Mice were anesthetized with <span>isoflurane</span> 2-3% for injections, blood collection and sacrifice. All mice were sacrificed by cervical dislocation, 4 hours after injection.</p> <p>The results of heart (indicated coeur) from HbSS mice injected or not with <span>heme</span> are presented here . </p> <p>The results of heart (indicated coeur) from <span>HbAA</span> mice injected or not with <span>heme</span> can be found at number 10.5281/zenodo.10964042</p> <p>Thirty μm-thick frozen tissue sections of kidneys were cut as above and homogenized in 200μL of 1-Thioglycerol/Homogenization Solution (Maxwell® 16 LEV simplyRNA Tissue Kit <span>Promega</span> AS1280). The quality and quantity of mRNA were evaluated using a 2100 bioanalyzer with TNA 6000 NanoKits (all <span>Agilent Technologies</span>, <span>Palo Alto, CA</span>, <span>USA</span>). RNA Integrity Numbers superior to 7 were eligible for subsequent <span>reverse transcription</span> into <span>cDNA</span>. <span>RNAseq</span> was performed at the GenomIC plateform <span>Cochin</span> Institute INSERM U1016. After <span>RNA extraction</span>, RNA quality (<span>RNA integrity number</span>) was estimated. 1μg of high-quality total RNA sample (RIN &gt;7) was processed to build up the libraries, using TruSeq Stranded mRNA kit (<span>Illumina</span>) according to manufacturer instructions. Briefly, purified <span>poly-A</span> containing mRNA molecules were fragmented and <span>reverse-transcribed</span> using random <span>primers</span>. Replacement of dTTP by dUTP during second strand synthesis allowed us to achieve strand specificity. Addition of a single A base to the <span>cDNA</span> was followed by <span>ligation</span> of <span>Illumina</span> adapters.<br>Libraries were quantified by <span>qPCR</span> using <span>KAPA Library Quantification</span> Kits for <span>Illumina</span> Libraries (KapaBiosystems, <span>Wilmington</span>, MA). Library profiles were assessed using DNA High Sensitivity LabChip kits on an <span>Agilent</span> Bioanalyzer. Libraries were sequenced on an <span>Illumina</span> Nextseq 500 instrument using 75 base-lengths read V2 chemistry in a <span>paired-end</span> mode. After sequencing, primary analysis based on AOZAN software (ENS, <span>Paris</span>), was applied to <span>demultiplex</span> and control the quality of the <span>raw data</span> (based of FastQC modules / version 0.11.5).</p> <p>The dataset here represents 4 groups of mice, 4 mice per group as follows: HbAA <span>PBS</span>, HbAA <span>heme</span>, HbSS <span>PBS</span>, <span>HbSS</span> <span>heme</span>. </p> </div>
Heart Disease XML Strain
<p>Disclaimer: These datasets were generated during the course of academic research conducted at the Faculty of Medicine, The Chinese University of Hong Kong, which received ethics approval by The Joint Chinese University of Hong Kong – New Territories East Cluster Clinical Research Ethics Committee of the Hospital Authority. They have been anonymised and are deposited for further advancement of medical research in full compliance with University Regulations and Policy on Dataset Deposit and Sharing. For additional information: https://libguides.lib.cuhk.edu.hk/RDM/dataset_deposit</p> <p> </p> <p>Access is permitted for research purposes only.</p> <p> </p> <p>The use of these datasets should provide acknowledgements of such efforts by citing this DOI.</p>
Factors associated with coronary heart disease in COPD patients and controls
<p><strong><span>Background</span></strong></p> <p><span>COPD and coronary heart disease (CHD) frequently co-occur, yet which COPD phenotypes are most prone to CHD is poorly understood. </span><span>The aim of this study was to see whether COPD patients did have a true higher risk for CHD than subjects without COPD, and to examine a range of potential factors associated with CHD in COPD patients and controls</span></p> <p><strong><span>Methods</span></strong></p> <p><span>347 COPD patients and 428 non-COPD controls, were invited for coronary computed tomography angiography (CCTA) and pulmonary CT. Arterial blood gas, bioelectrical impedance and lung function was measured, and a detailed medical history taken. The CCTA was evaluated for significant coronary stenosis and calcium score (CaSc), and emphysema defined as >10% of total area <-950 Hounsfield units. </span></p> <p><strong><span>Results</span></strong></p> <p><span>12.6% of the COPD patients and 5.7% of the controls had coronary stenosis (p<0.01), whereas 55.9% of the COPD patients had a CaSc>100 compared to 31.6% of the controls (p<0.01). In a multivariable model adjusting for sex, age, body composition, pack-years, CRP, cholesterol/blood pressure lowering medication use and diabetes mellitus, the OR (95% CI) for having significant stenosis was 1.80 (0.86-3.78) in COPD patients compared with controls. In a similar model, the OR (95% CI) for having CaSc>100 was 1.68 (1.12-2.53) in COPD patients compared with controls. Examining the risk of significant stenosis and CaSc>100 among COPD patients, no variable was associated with significant stenosis, whereas male sex [OR 2.85 (1.56-5.21)], age [OR 3.74 (2.42-5.77)], statin use [OR 2.23 (1.23-4.50)] were associated with CaSc>100, after adjusting for body composition, pack-years, C-reactive protein, use of angiotensin converting enzyme (ACE) inhibitors or angiotensin receptor blockers (ARBs), diabetes, emphysema score, GOLD category, exacerbation frequency, eosinophilia, and hypoxemia.</span></p> <p><strong><span>Conclusion</span></strong></p> <p><span>COPD patients were more likely to have CHD, but neither emphysema score, lung function, exacerbation frequency, nor hypoxemia predicted presence of either coronary stenosis or CaSc>100. </span></p>
Validation of transpulmonary thermodilution variables in hemodynamically stable patients with heart diseases - Individual patient data
<p>This dataset contains individual subject data for hemodynamic measurements assessed in the present study.</p>
Etiology, characteristics and occurrence of heart diseases in rural Lesotho (ECHO-Lesotho): A retrospective echocardiography cohort study
<p><strong>Background</strong></p> <p>In 2019, 600’000 people in Africa died of heart failure and heart diseases will increase on the continent. It is crucial to understand the regional etiologies and risk factors for heart failure and underlying heart diseases. However, echocardiography data from rural Africa are scarce and from Lesotho non-existent. This study aims to examine the occurrence, characteristics and etiology of heart failure and heart diseases using echocardiography data from a referral hospital in rural Lesotho.</p> <p><strong>Methods</strong></p> <p>We conducted a retrospective cohort study at Seboche Mission Hospital, the only referral hospital in Butha-Buthe district (Lesotho) with an echocardiography department. We included data from all individuals referred to the department between January 2020 and May 2021. From non-hospitalized patients echocardiographic diagnosis, sex and age were available, from hospitalized patients additional sociodemographic and clinical data could be extracted.</p> <p><strong>Results</strong></p> <p>In the study period, a total of 352 echocardiograms were conducted; 213 had abnormal findings (among them 3 children). The majority of adult participants (130/210; 64%) were female and most frequent heart diseases were hypertensive (62/210, 30%), valvular (39/210, 19%) and chronic pulmonary (37/210, 18%). Heart failure represented 11% of hospitalizations in the same period. Among the 126 hospitalized heart failure patients, the most common etiology was chronic pulmonary heart disease (32/126; 25%). Former mine workers and people with a history of tuberculosis were more likely to have a chronic pulmonary heart disease.</p> <p><strong>Conclusions</strong></p> <p>The leading cause of heart disease in this setting is hypertension. However, in contrast to other African epidemiological studies, chronic pulmonary heart disease is unexpectedly common. There is an urgent need to improve awareness and knowledge about lung diseases, make diagnostic and therapeutic options available and increase prevention.</p>
Knockout mice represent an important tool for the multisystemic study of human monogenic heart disease
<p>Supplementary data to support a manuscript entitled "Knockout mice represent an important tool for the multisystemic study of human monogenic heart disease"</p>
Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma [Dataset]
<p>Dataset of simulation results used in this study (https://doi.org/10.24072/pcjournal.271):</p> <p><strong>Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma.</strong></p> <p>published in Peer Community Journal.</p> <p> </p> <p>All simulations are computed using the R package landsepi<br> Package webpage: https://csiro-inra.pages.biosp.inrae.fr/landsepi/<br> To download the package: https://cran.r-project.org/web/packages/landsepi/index.html</p> <p>Raw data used for this study are stored in three folders corresponding to<br> the three numerical experiments (APR_1, APR_2 and APR_3, respectively).</p> <p>Every folder includes:<br> - an R script for the generation of a simulation plan<br> - 10 folders containing simulation results for 10 stochastic replicates<br> - an R script for the analysis of the results and generation of graphics</p> <p>Every folder containing the simulation results includes:<br> - a text file "myDesign.txt" containing the simulation plan and outputs (1 line per simulation)<br> - a text file "parameters.txt" containing a summary of all parameter values<br> - a text file "param_disp_patho.txt" containing the dispersal matrix of the pathogen<br> - a text file "param_landscape.txt" containing the landscape structure<br> (i.e. for every polygon [lines] and every year [columns] the index of the cultivated host)</p>
Heart disease indicators
<p>Heart Attack Analysis & Prediction Dataset for Practice in UOC in data analysis and cleaning.</p>
Functional dissection of human cardiac enhancers and non-coding de novo variants in congenital heart disease
<p>This is the CHD MPRA motif analysis input file. Please see the detail in : https://github.com/pulab/CHD_DNVs/tree/main/MPRA-Enhancer/CHD_MPRA_project/CHD_MPRA_library</p>
Phase II Study of Heart Polypill Safety and Efficacy in Primary Prevention of Cardiovascular Disease
ClinicalTrials.gov study NCT00603590. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Self-Management Addressing Heart Disease Risk Trial
ClinicalTrials.gov study NCT00499096. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.