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Found 4 result(s)

RRUFF Project

Database of Raman spectra, X-ray diffraction and chemistry data for minerals

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The RRUFF Project is creating a complete set of high quality spectral data from well characterized minerals and is developing the technology to share this information with the world. The collected data provides a standard for mineralogists, geoscientists, gemologists and the general public for the identification of minerals both on earth and for planetary exploration.Electron microprobe analysis is used to determine the chemistry of each mineral.

Materials Data Repository

MDR

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MDR is a data repository to collect and store papers, presentation materials, and related materials data to accumulate and release them in a form suitable for the promotion of materials research and materials informatics. Users can search the documents and the data from information (metadata) such as sample, instrument, method, and from the full text of the deposited data, to browse and download them freely. User registration is not required and there is no charge for use.

X-Ray Database

X-ray interactions with matter

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The primary interaction of low-energy x rays within matter, viz. photoabsorption and coherent scattering, have been described for photon energies outside the absorption threshold regions. These tables are based on a compilation of the available experimental measurements and theoretical calculations. For many elements there is little or no published data and in such cases it was necessary to rely on theoretical calculations and interpolations across Z. In order to improve the accuracy in the future considerably more experimental measurements are needed.

Edinburgh DataShare

DataShare

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Edinburgh DataShare is a digital repository of research data produced at the University of Edinburgh, hosted by the Research Data Service in Information Services. Edinburgh University researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researchers, are invited to upload their dataset for sharing and safekeeping. A persistent identifier and suggested citation will be provided.