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270
datasets available to search
ShareScore release 0.9.0
Dataset results
270 results for “Disease Phenotypes”
An Observational Study of Patients With Lysosomal Acid Lipase Deficiency/Cholesteryl Ester Storage Disease Phenotype
ClinicalTrials.gov study NCT01528917. IPD Sharing: NO. Countries: 8. Publications: 2.
Correlation Between Clinical and Electrophysiological Phenotypes in a Population of Patients With Neuropathy Charcot-Marie-Tooth Disease Type 1A
ClinicalTrials.gov study NCT01750710. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Phenotypic and Functional Characteristics of Regulatory T Lymphocytes in Horton's Disease
ClinicalTrials.gov study NCT02857192. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Longitudinal Evaluation of HIV-associated Lung Disease Phenotypes
ClinicalTrials.gov study NCT02238327. IPD Sharing: Not stated. Countries: 1. Publications: 3.
The Role of Alcohol Consumption in the Aetiology of Different Cardiovascular Disease Phenotypes: a CALIBER Study
ClinicalTrials.gov study NCT01864031. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Study to Determine Mutations in the Gaucher Gene in Patients With Idiopathic Parkinson's Disease for Phenotype-genotype Correlation
ClinicalTrials.gov study NCT01272687. IPD Sharing: Not stated. Countries: 2. Publications: 13.
Molecular Phenotypes for Cystic Fibrosis Lung Disease
ClinicalTrials.gov study NCT01116414. IPD Sharing: Not stated. Countries: 1. Publications: 4.
PreDiction and Validation of Clinical CoursE of Coronary Artery DiSease With CT-Derived Non-Invasive HemodYnamic Phenotyping and Plaque Characterization (DESTINY Study)
ClinicalTrials.gov study NCT04794868. IPD Sharing: UNDECIDED. Countries: 2. Publications: 2.
Obesity Phenotypes and Its Relation to Cardiovascular Diseases
ClinicalTrials.gov study NCT06092021. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Cognitive Phenotypes in Parkinson's Disease
ClinicalTrials.gov study NCT01792843. IPD Sharing: NO. Countries: 1. Publications: 1.
Natural history, phenotypic spectrum, and discriminative features of multisystemic RFC1-disease
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Data associated with 'Metformin rescues Parkinson’s disease phenotypes caused by hyperactive mitochondria'
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Data from: ApoE is a correlate of phenotypic heterogeneity in Alzheimer’s disease in a national cohort
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Data from: Evolutionary epidemiology of schistosomiasis: linking parasite genetics with disease phenotype in humans
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Data from: From cellular characteristics to disease diagnosis: uncovering phenotypes with supercells
Cell heterogeneity and the inherent complexity due to the interplay of multiple molecular processes within the cell pose difficult challenges for current single-cell biology. We introduce an approach that identifies a disease phenotype from multiparameter single-cell measurements, which is based on the concept of "supercell statistics", a single-cell-based averaging procedure followed by a machine learning classification scheme. We are able to assess the optimal tradeoff between the number of single cells averaged and the number of measurements needed to capture phenotypic differences between healthy and diseased patients, as well as between different diseases that are difficult to diagnose otherwise. We apply our approach to two kinds of single-cell datasets, addressing the diagnosis of a premature aging disorder using images of cell nuclei, as well as the phenotypes of two non-infectious uveitides (the ocular manifestations of Behçet's disease and sarcoidosis) based on multicolor flow cytometry. In the former case, one nuclear shape measurement taken over a group of 30 cells is sufficient to classify samples as healthy or diseased, in agreement with usual laboratory practice. In the latter, our method is able to identify a minimal set of 5 markers that accurately predict Behçet's disease and sarcoidosis. This is the first time that a quantitative phenotypic distinction between these two diseases has been achieved. To obtain this clear phenotypic signature, about one hundred CD8+ T cells need to be measured. Although the molecular markers identified have been reported to be important players in autoimmune disorders, this is the first report pointing out that CD8+ T cells can be used to distinguish two systemic inflammatory diseases. Beyond these specific cases, the approach proposed here is applicable to datasets generated by other kinds of state-of-the-art and forthcoming single-cell technologies, such as multidimensional mass cytometry, single-cell gene expression, and single-cell full genome sequencing techniques.
Age-induced midbrain-striatum assembloid models early phenotypes of Parkinson's disease
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Association of gyrification pattern, white matter changes and phenotypic profile in patients with Parkinson's disease
<p><b>Objective:</b> To investigate the cortical gyrification changes as well as their relationships with white matter (WM) microstructural abnormalities in the akinetic-rigid (AR) and tremor-dominant (TD) subtypes of Parkinson's disease (PD).</p> <p><b>Methods:</b> Sixty-four patients with the AR subtype, 26 patients with the TD subtype and 56 healthy controls (HCs) were included in this study. High-resolution T1-weighted and diffusion-weighted images were acquired for each participant. We computed local gyrification index (LGI) and fractional anisotropy (FA) to identify the cortical gyrification and WM microstructural changes in the AR and TD subtypes.</p> <p><b>Results: </b>Compared with HCs, patients with the AR subtype showed decreased LGI in the precentral, postcentral, inferior and superior parietal, middle and superior frontal/temporal, anterior and posterior cingulate, orbitofrontal, supramarginal, precuneus, and some visual cortices, and decreased FA in the corticospinal tract, inferior and superior longitudinal fasciculus, inferior fronto-occipital fasciculus, forceps minor/major, and anterior thalamic radiation. Decreases in LGI and FA of the AR subtype were found to be tightly coupled. LGIs of the left inferior and middle frontal gyrus correlated with the mini-mental state examination and the Hoehn and Yahr scores of patients with the AR subtype. Patients with the TD subtype showed no significant change in the LGI and FA compared with patients with the AR subtype and HCs.</p> <p><b>Conclusions:</b> Our results suggest that cortical gyrification changes in PD are motor phenotype-specific and are possibly mediated by the microstructural abnormalities of the underlying WM tracts.</p>
INREAL - Nintedanib for Changes in Dyspnea and Cough in Patients Suffering From Chronic Fibrosing Interstitial Lung Disease (ILD) With a Progressive Phenotype in Everyday Clinical Practice: a Real-wor
ClinicalTrials.gov study NCT04702893. IPD Sharing: YES. Countries: 1. Publications: 0.
Molecular Phenotyping of Asthma in Sickle Cell Disease
ClinicalTrials.gov study NCT01879592. IPD Sharing: NO. Countries: 1. Publications: 0.
Metabolic Phenotypes of Obesity and Diabetic Kidney Disease in Patients with Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT06591104. IPD Sharing: NO. Countries: 0. Publications: 4.
ScienceDex guides
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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.