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Found 55 result(s)
ForestPlots.net is a web-accessible secure repository for forest plot inventories in South America, Africa and Asia. The database includes plot geographical information; location, taxonomic information and diameter measurements of trees inside each plot; and participants in plot establishment and re-measurement, including principal investigators, field assistants, students.
Fox DEN provides investigators with a tool to explore, download and apply statistical models on aggregated data collected for the Fox Insight online clinical study. The Fox Insight study collects patient-reported outcomes and genetic data from people with Parkinson's disease and their loved ones.
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. "
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.
THEREDA (Thermodynamic Reference Database) is a joint project dedicated to the creation of a comprehensive, internally consistent thermodynamic reference database, to be used with suitable codes for the geochemical modeling of aqueous electrolyte solutions up to high concentrations.
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<<<!!!<<< This repository is no longer available. >>>!!!>>> C3-Grid is an ALREADY FINISHED project within D-Grid, the initiative to promote a grid-based e-Science framework in Germany. The goal of C3-Grid is to support the workflow of Earth system researchers. A grid infrastructure will be implemented that allows efficient distributed data processing and inter-institutional data exchange. Aim of the effort was to develop an infrastructure for uniform access to heterogeneous data and distributed data processing. The work was structured in two projects funded by the Federal Ministry of Education and Research. The first project was part of the D-Grid initiative and explored the potential of grid technology for climate research and developed a prototype infrastructure. Details about the C3Grid architecture are described in “Earth System Modelling – Volume 6”. In the second phase "C3Grid - INAD: Towards an Infrastructure for General Access to Climate Data" this infrastructure was improved especially with respect to interoperability to Earth System Grid Federation (ESGF). Further the portfolio of available diagnostic workflows was expanded. These workflows can be re-used now in adjacent infrastructures MiKlip Evaluation Tool (http://www.fona-miklip.de/en/index.php) and as Web Processes within the Birdhouse Framework (http://bird-house.github.io/). The Birdhouse Framework is now funded as part of the European Copernicus Climate Change Service (https://climate.copernicus.eu/) managed by ECMWF and will be extended to provide scalable processing services for ESGF hosted data at DKRZ as well as IPSL and BADC.
The National Health Research and Studies Portal (NHRSP) is an initiative to build a national digital research data infrastructure, that provides data for health-related research, to meet tomorrow's health challenges. NHRSP aims to make health research more sustainable, efficient and responsive to health challenges, through research data sharing and re-cycling, in accordance with the ethical standards of scientific research.
Citrination is the premier open database and analytics platform for the world's material and chemical information. Here you can find tabulated materials property data, that users have contributed or Citrine has automatically extracted from literature.
The Virtual Research Environment (VRE) is an open-source data management platform that enables medical researchers to store, process and share data in compliance with the European Union (EU) General Data Protection Regulation (GDPR). The VRE addresses the present lack of digital research data infrastructures fulfilling the need for (a) data protection for sensitive data, (b) capability to process complex data such as radiologic imaging, (c) flexibility for creating own processing workflows, (d) access to high performance computing. The platform promotes FAIR data principles and reduces barriers to biomedical research and innovation. The VRE offers a web portal with graphical and command-line interfaces, segregated data zones and organizational measures for lawful data onboarding, isolated computing environments where large teams can collaboratively process sensitive data privately, analytics workbench tools for processing, analyzing, and visualizing large datasets, automated ingestion of hospital data sources, project-specific data warehouses for structured storage and retrieval, graph databases to capture and query ontology-based metadata, provenance tracking, version control, and support for automated data extraction and indexing. The VRE is based on a modular and extendable state-of-the art cloud computing framework, a RESTful API, open developer meetings, hackathons, and comprehensive documentation for users, developers, and administrators. The VRE with its concerted technical and organizational measures can be adopted by other research communities and thus facilitates the development of a co-evolving interoperable platform ecosystem with an active research community.
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The University of Tasmania Research Data Portal (RDP) enables UTAS researchers to securely store and publish their datasets. Datasets published in RDP are publicly available through the Research Data Australia Search Portal (https://researchdata.edu.au/).
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Over 1000 detailed, fully referenced and verified datasets for steels, aluminium and titanium alloys, cast irons/steels, weld metals. Materials can be searched according to a number of different criteria. Initial search results are presented in the form of a table from which they can be selected for presentation in form of detailed report or for comparison overview (up to 5 materials). In addition to material information and values of properties/parameters, images of microstructure, specimens and those of stress-strain, stress- and strain-life curves (if available) can be reviewed as well.
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LIAG's Geophysics Information System (FIS GP) serves for the storage and supply of geophysical measurements and evaluations of LIAG and its partners. The architecture of the overall system intends a subdivision into an universal part (superstructure) and into several subsystems dedicated to geophysical methods (borehole geophysics, gravimetry, magnetics, 1D/2D geoelectrics, underground temperatures, seismics, VSP, helicopter geophysics and rock physics. The building of more subsystems is planned.
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CINES is the French national long-term preservation service provider for Higher Education and Research: more than 20 institutions (universities, librairies, labs) archive their digital heritage at CINES so that it's preserved over time in a secure, dedicated environment. This includes documents such as PhD theses or publications, digitized ancient/rare books, satellite imagery, 3D/vidéos/image galleries, datasets, etc.
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Kadi4Mat instance for use at the Karlsruhe Institute of Technology (KIT) and for cooperations, including the Cluster of Competence for Solid-state Batteries (FestBatt), the Battery Competence Cluster Analytics/Quality Assurance (AQua), and more. Kadi4Mat is the Karlsruhe Data Infrastructure for Materials Science, an open source software for managing research data. It is being developed as part of several research projects at the Institute for Applied Materials - Microstructure Modelling and Simulation (IAM-MMS) of the Karlsruhe Institute of Technology (KIT). The goal of this project is to combine the ability to manage and exchange data, the repository , with the possibility to analyze, visualize and transform said data, the electronic lab notebook (ELN). Kadi4Mat supports a close cooperation between experimenters, theorists and simulators, especially in materials science, to enable the acquisition of new knowledge and the development of novel materials. This is made possible by employing a modular and generic architecture, which allows to cover the specific needs of different scientists, each utilizing unique workflows. At the same time, this opens up the possibility of covering other research disciplines as well.
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<<<!!!<<< There are no more data available. >>>!!!>>> HalOcAt brings together global oceanic and atmospheric data of mainly short-lived brominated and iodinated trace gases.
MEMENTO aims to become a valuable tool for identifying regions of the world ocean that should be targeted in future work to improve the quality of air-sea flux estimates.
Yoda is a research data management service that enables researchers to deposit, share, publish and preserve large amounts of research data during all stages of a research project. This service is managed and supported by an interdisciplinary team of university employees. The software has been developed at Utrecht University and is used by multiple organisations, both in the Netherlands and abroad. Yoda publishes data packages via Datacite. To find data publications use: https://public.yoda.uu.nl/, or the Datacite search engine: https://commons.datacite.org/doi.org?query=client.uid:delft.uu
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National Genomic Resources Repository is established as an institutional framework for methodical and centralized efforts to collect, generate, conserve and distribute genomic resources for agricultural research.
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NB-IRDT is expanding research potential through pseudonymised, linkable data sets. Our repository includes a growing collection to meet diverse research needs. We only host pseudonymous data in the NB-IRDT repository. NB-IRDT also offers public use data sets, which consist of de-identified data that is publicly accessible. All our data can be accessed in the NB-IRDT lab spaces.
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.
The Common Cold Project began in 2011 with the aim of creating, documenting, and archiving a database that combines final research data from 5 prospective viral-challenge studies that were conducted over the preceding 25 years: the British Cold Study (BCS); the three Pittsburgh Cold Studies (PCS1, PCS2, and PCS3); and the Pittsburgh Mind-Body Center Cold Study (PMBC). These unique studies assessed predictor (and hypothesized mediating) variables in healthy adults aged 18 to 55 years, experimentally exposed them to a virus that causes the common cold, and then monitored them for development of infection and signs and symptoms of illness.
The Central Neuroimaging Data Archive (CNDA) allows for sharing of complex imaging data to investigators around the world, through a simple web portal. The CNDA is an imaging informatics platform that provides secure data management services for Washington University investigators, including source DICOM imaging data sharing to external investigators through a web portal, cnda.wustl.edu. The CNDA’s services include automated archiving of imaging studies from all of the University’s research scanners, automated quality control and image processing routines, and secure web-based access to acquired and post-processed data for data sharing, in compliance with NIH data sharing guidelines. The CNDA is currently accepting datasets only from Washington University affiliated investigators. Through this platform, the data is available for broad sharing with researchers both internal and external to Washington University.. The CNDA overlaps with data in oasis-brains.org https://www.re3data.org/repository/r3d100012182, but CNDA is a larger data set.