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Raman Spectra Datasets

A collection of Raman spectra datasets for machine learning and data analysis.

RRUFF

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.

Data Metrics:

  • 5956 IMA approved Minerals
  • 4148 Public RRUFF Samples, 9867 total RRUFF Samples
  • 2315 Public Mineral Species with Samples, 3764 total Minerals Species with Samples
  • 8585 Unoriented High Resolution Raman Spectra across 4167 RRUFF Samples
  • 5851 Oriented High Resolution Raman Spectra across 550 RRUFF Samples
  • 7765 Unoriented Low Resolution Raman Spectra across 3891 RRUFF Samples
  • 937 Infrared Spectra across 819 RRUFF Samples
  • 1981 Measured Chemistry across 1980 RRUFF Samples
  • 3405 Measured Cell Parameters across 3404 RRUFF Samples
  • 13763 Public PDFs
  • 1916 Good Sample Photographs

Website Data

SOP Spectral Library

An exhaustive collection of Raman spectra obtained on synthetic organic pigments

Website

KnowItAll Raman Spectral Library [Commercial]

Wiley's KnowItAll Raman Spectral Library offers access to 23,830 spectra—the world's largest collection of high-quality Raman spectra, including the renowned Sadtler™ databases.

  • Access 19 Raman databases covering a wide range of compounds - from organics and inorganics, monomers and polymers, to application-focused data.
  • Includes data-rich property fields to refine narrow your searches - along with spectra, records contain valuable metadata such as physical properties and structures when available.
  • Save time by increasing the speed and likelihood of identification with a comprehensive, quality dataset Cost-effective way to access an extensive and proven collection of spectral databases.

Website

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A collection of Raman spectra datasets for machine learning and data analysis.

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