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Found 208 result(s)
The CDAWeb data system enables improved display and coordinated analysis of multi-instrument, multimission data bases of the kind whose analysis is critical to meeting the science objectives of the ISTP program and the InterAgency Consultative Group (IACG) Solar-Terrestrial Science Initiative. The system combines the client-server user interface technology of the World Wide Web with a powerful set of customized IDL routines to leverage the data format standards (CDF) and guidelines for implementation adopted by ISTP and the IACG. The system can be used with any collection of data granules following the extended set of ISTP/IACG standards. CDAWeb is being used both to support coordinated analysis of public and proprietary data and better functional access to specific public data such as the ISTP-precursor CDAW 9 data base that is formatted to the ISTP/IACG standards. Many data sets are available through the Coordinated Data Analysis Web (CDAWeb) service and the data coverage continues to grow. These are largely, but not exclusively, magnetospheric data and nearby solar wind data of the ISTP era (1992-present) at time resolutions of approximately a minute. The CDAWeb service provides graphical browsing, data subsetting, screen listings, file creations and downloads (ASCII or CDF). Public data from current (1992-present) space physics missions (including Cluster, IMAGE, ISTP, FAST, IMP-8, SAMPEX and others). Public data from missions before 1992 (including IMP-8, ISIS1/2, Alouette2, Hawkeye and others). Public data from all current and past space physics missions. CDAWeb ist part of "Space Physics Data Facility" (https://www.re3data.org/repository/r3d100010168).
Content type(s)
A genome database for the genus Piroplasma. PiroplasmaDB is a member of pathogen-databases that are housed under the NIAID-funded EuPathDB Bioinformatics Resource Center (BRC) umbrella.
Content type(s)
The CEBS database houses data of interest to environmental health scientists. CEBS is a public resource, and has received depositions of data from academic, industrial and governmental laboratories. CEBS is designed to display data in the context of biology and study design, and to permit data integration across studies for novel meta analysis.
Europeana is the trusted source of cultural heritage brought to you by the Europeana Foundation and a large number of European cultural institutions, projects and partners. It’s a real piece of team work. Ideas and inspiration can be found within the millions of items on Europeana. These objects include: Images - paintings, drawings, maps, photos and pictures of museum objects Texts - books, newspapers, letters, diaries and archival papers Sounds - music and spoken word from cylinders, tapes, discs and radio broadcasts Videos - films, newsreels and TV broadcasts All texts are CC BY-SA, images and media licensed individually.
Patients-derived tumor xenograft (PDX) mouse models are an important oncology research platform to study tumor evolution, drug response and personalised medicine approaches. We have expanded to organoids and cell lines and are now called CancerModels.Org
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This purpose of this repository is to share Ontario's government data sets online to increase transparency and accountability. We're adding to the hundreds of records we’ve released so far to create an inventory of known government data. Data will either be open, restricted, under review or in the process of being made open, depending on the sensitivity of the information.
The ADS is an accredited digital repository for heritage data that supports research, learning and teaching with freely available, high quality and dependable digital resources by preserving and disseminating digital data in the long term. The ADS also promotes good practice in the use of digital data, provides technical advice to the heritage community, and supports the deployment of digital technologies.
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The CliSAP-Integrated Climate Data Center (ICDC) allows easy access to climate relevant data from satellite remote sensing and in situ and other measurements in Earth System Sciences. These data are important to determine the status and the changes in the climate system. Additionally some relevant re-analysis data are included, which are modeled on the basis of observational data. ICDC cooperates with the "Zentrum für Nachhaltiges Forschungsdatenmanagement "https://www.fdr.uni-hamburg.de/ to publish observational data with a doi.
The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. It is used by students, educators, and researchers all over the world as a primary source of machine learning data sets. As an indication of the impact of the archive, it has been cited over 1000 times.
Earth System Research Laboratory (ESRL) Global Monitoring Division (GMD) provides data relating to climate change forces and models, ozone depletion and rehabilitation, and baseline air quality. Data are freely available so the public, policy makers, and scientists stay current with long-term atmospheric trends.
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The Marine Data Archive (MDA) is an online repository specifically developed to independently archive data files in a fully documented manner. The MDA can serve individuals, consortia, working groups and institutes to manage data files and file versions for a specific context (project, report, analysis, monitoring campaign), as a personal or institutional archive or back-up system and as an open repository for data publication.
Brain Analysis Library of Spatial maps and Atlases (BALSA) is a database for hosting and sharing neuroimaging and neuroanatomical datasets for human and primate species. BALSA houses curated, user-created Study datasets, extensively analyzed neuroimaging data associated with published figures and Reference datasets mapped to brain atlas surfaces and volumes in human and nonhuman primates as a general resource (e.g., published cortical parcellations).
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More than a quarter of a million people — one in 10 NSW men and women aged over 45 — have been recruited to our 45 and Up Study, the largest ongoing study of healthy ageing in the Southern Hemisphere. The baseline information collected from all of our participants is available in the Study’s Data Book. This information, which researchers use as the basis for their analyses, contains information on key variables such as height, weight, smoking status, family history of disease and levels of physical activity. By following such a large group of people over the long term, we are developing a world-class research resource that can be used to boost our understanding of how Australians are ageing. This will answer important health and quality-of-life questions and help manage and prevent illness through improved knowledge of conditions such as cancer, heart disease, depression, obesity and diabetes.
The GHO data repository is WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others. In addition, the GHO provides on-line access to WHO's annual summary of health-related data for its Member states: the World Health Statistics.
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DataStream is an open access platform for sharing information on freshwater health. It currently allows users to access, visualize, and download full water quality datasets collected by Indigenous Nations, community groups, researchers and governments throughout five regional hubs: Atlantic Canada, the Great Lakes and Saint Lawrence region, the Lake Winnipeg Basin, the Mackenzie River Basin and the Pacific region. DataStream was developed by The Gordon Foundation and is carried out in collaboration with regional monitoring networks.
Ever growing search and retrieval site for a comprehensive set of Heliophysics data from NASA and other spacecraft and ground-based observatories.
Sound and Vision has one of the largest audiovisual archives in Europe. The institute manages over 70 percent of the Dutch audiovisual heritage. The collection contains more than a million hours of television, radio, music and film from the beginning in 1898 until today. All programs of the Dutch public broadcasters come in digitally every day. Individuals and institutions entrust their collection to Sound and Vision as well. The institute ensures that the material is optimally preserved for (re)use. Broadcasters, producers and editors use the archive for the creation of new programs. The collection is also used to develop products and services for a wide audience, such as exhibitions, iPhone applications, DVD boxes and various websites. The collection of Sound and Vision contains the complete radio and television archives of the Dutch public broadcasters; films of virtually every leading Dutch documentary maker; newsreels; the national music depot; various audiovisual corporate collections; advertising, radio and video material of cultural and social organizations, of scientific institutes and of all kinds of educational institutions. There are also collections of images and articles from the history of Dutch broadcasting itself, like the elaborate collection of historical television sets.
The Materials Data Facility (MDF) is set of data services built specifically to support materials science researchers. MDF consists of two synergistic services, data publication and data discovery (in development). The production-ready data publication service offers a scalable repository where materials scientists can publish, preserve, and share research data. The repository provides a focal point for the materials community, enabling publication and discovery of materials data of all sizes.
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The GIGA (German Institute of Global and Area Studies) researchers generate a large number of qualitative and quantitative research data. On this page you will find descriptions of this research data ("metadata") as well as information about the available access options. To facilitate its reuse, and to enhance research transparency, a large part of the GIGA research data is published in datorium, a repository hosted by the GESIS Leibniz Institute for the Social Sciences: https://www.re3data.org/repository/r3d100011062 Our objective is to offer free access to as much of our data as possible, to guarantee the possibility of its citation, and to secure its safe storage. Metadata of research data that cannot be published open access due to its sensitivity is also shown on this page.
!!! >>> 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.
CottonGen is a new cotton community genomics, genetics and breeding database being developed to enable basic, translational and applied research in cotton. It is being built using the open-source Tripal database infrastructure. CottonGen consolidates and expands the data from CottonDB and the Cotton Marker Database, providing enhanced tools for easy querying, visualizing and downloading research data.
The Deep Carbon Observatory (DCO) is a global community of multi-disciplinary scientists unlocking the inner secrets of Earth through investigations into life, energy, and the fundamentally unique chemistry of carbon. Deep Carbon Observatory Digital Object Registry (“DCO-VIVO”) is a centrally-managed digital object identification, object registration and metadata management service for the DCO. Digital object registration includes DCO-ID generation based on the global Handle System infrastructure and metadata collection using VIVO. Users will be able to deposit their data into the DCO Data Repository and have that data discoverable and accessible by others.