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Found 15 result(s)
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data.deic.dk is an online data storage and synchronization service provided by the Danish e-Infrastructure Cooperation (DeIC), specifically aimed at researchers and scientists at Danish academic institutions. The service is primarily intended for working with and sharing active research data as well as for safekeeping of large datasets. Such data can be put in an area ('/Data') that is specifically not synced, i.e. not copied to desktops, laptops and mobile devices by the sync clients. Instead the data can be accessed and manipulated via the web interface, file transfer clients or the command line. The service is built on and with open-source software from the ground up: FreeBSD, ZFS, Apache, PHP, ownCloud+apps. DeIC is actively engaged in community efforts on developing such apps, and some are available as previews of things to come - including apps for getting large amounts of data into the system and tagging with meta-data. Our servers are attached directly to the 10-Gigabit backbone of "Forskningsnettet" - implying that wired up and download speed from Danish academic institutions is in principle comparable to those of an external USB hard drive.
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 Repository of the H2020/TINNGO Project (http://www.tinngo.eu/) is used to store large volumes of gender-related transport data, acquired from 10 national hubs of a pan-European Gender Observatory.
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<<<<!! The database is no longer available from 1st July 2018!! CRYSTMET was previously included in the NCDS as part of CrystalWorks. Unfortunately we are no longer able to license the CRYSTMET database for access through the NCDS. Therefore the database will no longer be accessible from 1st July 2018. >>>> CRYSTMET contains chemical, crystallographic and bibliographic data together with associated comments regarding experimental details for each study. It is a database of critically evaluated crystallographic data for metals, including alloys, intermetallics and minerals.Using these data, a number of associated files are derived, a major one being a parallel file of calculated powder patterns. These derived data are included within the CRYSTMET product.
The most comprehensive database on fully determined inorganic crystal structures • Full structural data: cell parameters, atom positions for all entries, displacement parameters • Full bibliographic data: publication title, journal reference(s), author names • Full structure description: Structural formula, compositions, ANX formulae, structure types • High-quality data: extensive data evaluation and correction by senior experts • Web and PC based software solutions, data updated twice a year • 25+ years of serving the scientific community
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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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DIAS aims at collecting and storing earth observation data; analyzing such data in combination with socio-economic data, and converting data into information useful for crisis management with respect to global-scale environmental disasters, and other threats; and to make this information available within Japan and overseas.
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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IDA is a storage service for research data provided by the Ministry of Education and Culture to actors in the Finnish research system. The service is produced by CSC – IT Center for Science (CSC). IDA enables the safe storage of research datasets and related metadata. Access to the data may be granted within the research project or for a wider group of users. The service is intended for stable research data, both raw data and processed datasets. Owners of the data decide on the openness and usage policies for their own data. The service is not intended for data containing sensitive personal data. The data stored in the service must be connected to a research project. The person responsible for the project acts as a contact person towards the service provider and decides who can access the data in the project. Users may belong to one or more projects. Data stored in IDA is checked for viruses and integrity upon receipt. Data is automatically copied and the integrity of both the original files and copies is monitored. The service is offered to Finnish universities and polytechnics as well as projects and researchers funded by the Academy of Finland.
-----<<<<< The repository is no longer available. This record is out-dated. >>>>>----- The Clean Energy Project Database (CEPDB) is a massive reference database for organic semiconductors with a particular emphasis on photovoltaic applications. It was created to store and provide access to data from computational as well as experimental studies, on both known and virtual compounds. It is a free and open resource designed to support researchers in the field of organic electronics in their scientific pursuits. The CEPDB was established as part of the Harvard Clean Energy Project (CEP), a virtual high-throughput screening initiative to identify promising new candidates for the next generation of carbon-based solar cell materials.
We are developing an open, online platform to provide a seamless access to cloud computing infrastructure and brain data and data derivatives. This platform is meant to reach out beyond neuroscience, allowing also computer scientists, statisticians and engineers interested in brain data to use the data to develop and publish their methods. Brain Life is a project under active development. We currently offer several cloud computing services – also called Brain Life Applications. Sixty-six collaborators from global scientific communities contribute to the project by providing data, applications, technology and products to advance understanding the human brain.
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The Jülich Observatory for Cloud Evolution (JOYCE) operates ground-based active and passive remote sensing instruments for cloud and precipitation observations. ​JOYCE is based on a long-term successful collaboration between the University of Cologne, the University of Bonn and the Research Centre Jülich. Since 2017 JOYCE is transformed into a Core Facility (JOYCE - CF) funded by the DFG (Deutsche Forschungsgemeinschaft) with the aim of high quality radar and passive microwave observations of the atmosphere. JOYCE will serve as a reference center for best practices in data acquisition, storage and distribution. JOYCE instrumentation aims to observe spatial and temporal variability of atmospheric water cycle variables.
B2SAFE is a robust, safe and highly available service which allows community and departmental repositories to implement data management policies on their research data across multiple administrative domains in a trustworthy manner. A solution to: provide an abstraction layer which virtualizes large-scale data resources, guard against data loss in long-term archiving and preservation, optimize access for users from different regions, bring data closer to powerful computers for compute-intensive analysis
Yoda publishes research data on behalf of researchers that are affiliated with Utrecht University, its research institutes and consortia where it acts as a coordinating body. Data packages are not limited to a particular field of research or license. Yoda publishes data packages via Datacite. To find data publications use: https://public.yoda.uu.nl/ , or the Datacite search engine : https://search.datacite.org/data-centers/delft.uu