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Found 21 result(s)
Content type(s)
Country
The Scholarly Database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. The online interface provides access to six datasets: MEDLINE papers, registered Clinical Trials, U.S. Patent and Trademark Office patents (USPTO), National Science Foundation (NSF) funding, National Institutes of Health (NIH) funding, and National Endowment for the Humanities funding – over 26 million records in total.
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The data in the U of M’s Clinical Data Repository comes from the electronic health records (EHRs) of more than 2 million patients seen at 8 hospitals and more than 40 clinics. For each patient, data is available regarding the patient's demographics (age, gender, language, etc.), medical history, problem list, allergies, immunizations, outpatient vitals, diagnoses, procedures, medications, lab tests, visit locations, providers, provider specialties, and more.
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The N3C Data Enclave is a secure portal containing a very large and extensive set of harmonized COVID-19 clinical electronic health record (EHR) data. The data can be accessed through a secure cloud Enclave hosted by NCATS and cannot be downloaded due to regulatory control. Broad access is available to investigators at institutions that sign a Data Use Agreements and via Data Use Requests by investigators. The N3C is a unique open, reproducible, transparent, collaborative team science initiative to leverage sensitive clinical data to expedite COVID-19 discoveries and improve health outcomes.
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The PAIN Repository is a recently funded NIH initiative, which has two components: an archive for already collected imaging data (Archived Repository), and a repository for structural and functional brain images and metadata acquired prospectively using standardized acquisition parameters (Standardized Repository) in healthy control subjects and patients with different types of chronic pain. The PAIN Repository provides the infrastructure for storage of standardized resting state functional, diffusion tensor imaging and structural brain imaging data and associated biological, physiological and behavioral metadata from multiple scanning sites, and provides tools to facilitate analysis of the resulting comprehensive data sets.
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METLIN represents the largest MS/MS collection of data with the database generated at multiple collision energies and in positive and negative ionization modes. The data is generated on multiple instrument types including SCIEX, Agilent, Bruker and Waters QTOF mass spectrometers.
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All ADNI data are shared without embargo through the LONI Image and Data Archive (IDA), a secure research data repository. Interested scientists may obtain access to ADNI imaging, clinical, genomic, and biomarker data for the purposes of scientific investigation, teaching, or planning clinical research studies.
"The Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Alzheimer’s disease (AD). ADNI researchers collect, validate and utilize data, including MRI and PET images, genetics, cognitive tests, CSF and blood biomarkers as predictors of the disease. Study resources and data from the North American ADNI study are available through this website, including Alzheimer’s disease patients, mild cognitive impairment subjects, and elderly controls. "
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<<<!!!<<< This repository is no longer available. >>>!!!>>>
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<<<!!!<<< The 2019-2020 Questionnaire is no longer live. >>>!!!>>>
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The Pennington/Louisiana NORC Biorepository is a collection of de-identified data from studies of human subjects conducted at Pennington Biomedical Research Center since 1980. The repository includes data from trials centered around obesity and nutrition and those funded by the National Institutes of Health, Department of Defense, United States Department of Agriculture, American Heart Association, American Diabetes Association and other government and non-profit organizations.
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The Penn Integrated Neurodegenerative Disease Database (INDD) contains data from individuals with Alzheimer's disease, Parkinson's disease, frontotemporal dementia, and amyotrophic lateral sclerosis, who have been followed in research studies at the University of Pennsylvania. The database has been periodically described in publications (https://pubmed.ncbi.nlm.nih.gov/23978324/), with updates on the website. Researchers can request biosamples as well as clinical and biomarker data. Scientists work collaboratively to analyze the Integrative Neurodegenerative Disease Database (INDD) from the Center for Neurodegenerative Disease Research (CNDR) that tracks ~11,000 patients who attended one of four neurodegenerative disease centers at Penn.
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The New York Brain Bank (NYBB) at Columbia University was established to collect postmortem human brains to meet the needs of neuroscientists investigating specific psychiatric and neurological disorders.
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The twin GRACE satellites were launched on March 17, 2002. Since that time, the GRACE Science Data System (SDS) has produced and distributed estimates of the Earth gravity field on an ongoing basis. These estimates, in conjunction with other data and models, have provided observations of terrestrial water storage changes, ice-mass variations, ocean bottom pressure changes and sea-level variations. This portal, together with PODAAC, is responsible for the distribution of the data and documentation for the GRACE project.
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TerraSAR-X is a German satellite for Earth Observation, which was launched on July 14, 2007. The mission duration was foreseen to be 5 years. TerraSAR-X carries an innovative high resolution x-band sensor for imaging with resolution up to 1 m.
TerraSAR-X carries as secondary payload an IGOR GPS receiver with GPS RO capability. GFZ provided the IGOR and is responsible for the related TOR experiment (Tracking, Occultation and Ranging). TerraSAR-X provides continuously atmospheric GPS data in near-real time. These data from GFZ are continuously assimilated in parallel with those from GRACE-A by the world-leading weather centers to improve their global forecasts. TerraSAR-X, together with TanDEM-X also forms a twin-satellite constellation for atmosphere sounding and generates an unique data set for the evaluation of the accuracy of the GPS-RO technique.
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Junar provides a cloud-based open data platform that enables innovative organizations worldwide to quickly, easily and affordably make their data accessible to all. In just a few weeks, your initial datasets can be published, providing greater transparency, encouraging collaboration and citizen engagement, and freeing up precious staff resources.
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In 2003, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) at NIH established Data, Biosample, and Genetic Repositories to increase the impact of current and previously funded NIDDK studies by making their data and biospecimens available to the broader scientific community. These Repositories enable scientists not involved in the original study to test new hypotheses without any new data or biospecimen collection, and they provide the opportunity to pool data across several studies to increase the power of statistical analyses. In addition, most NIDDK-funded studies are collecting genetic biospecimens and carrying out high-throughput genotyping making it possible for other scientists to use Repository resources to match genotypes to phenotypes and to perform informative genetic analyses.
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LONI’s Image and Data Archive (IDA) is a secure data archiving system. The IDA uses a robust infrastructure to provide researchers with a flexible and simple interface for de-identifying, searching, retrieving, converting, and disseminating their biomedical data. With thousands of investigators across the globe and more than 21 million data downloads to data, the IDA guarantees reliability with a fault-tolerant network comprising multiple switches, routers, and Internet connections to prevent system failure.
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Surveillance Epidemiology of Coronavirus (COVID19) Under Research Exclusion is an international, pediatric and adult database to monitor and report on outcomes of COVID-19 occurring in IBD patients.
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!!! >>> merged with https://www.re3data.org/repository/r3d100012653 <<< !!! RDoCdb is an informatics platform for the sharing of human subjects data generated by investigators as part of the NIMH's Research Domain Criteria initiative, and to support this initiative's aims. It also accepts and shares appropriate data related to mental health from other sources.
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The Visible Human Project® is an outgrowth of the NLM's 1986 Long-Range Plan. It is the creation of complete, anatomically detailed, three-dimensional representations of the normal male and female human bodies. Acquisition of transverse CT, MR and cryosection images of representative male and female cadavers has been completed. The male was sectioned at one millimeter intervals, the female at one-third of a millimeter intervals.
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This database contains individual-based life history data that have been collected from wild primate populations by nine working group participants over a minimum of 19 years.
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The National Trauma Data Bank® (NTDB) is the largest aggregation of trauma registry data ever assembled. The goal of the NTDB is to inform the medical community, the public, and decision makers about a wide variety of issues that characterize the current state of care for injured persons. Registry data that is collected from the NTDB is compiled annually and disseminated in the forms of hospital benchmark reports, data quality reports, and research data sets. Research data sets that can be used by researchers. To gain access to NTDB data, researchers must submit requests through our online application process
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- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-04-28
