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Spec-Soot is a publicly accessible integrated database system for soot emitted from a wide range of anthropogenic and natural sources such as forest fires, volcanic eruptions, biofuel, and fossil fuel combustions, etc. This database will serve as the foundation for further studies of soot's impact on climate and human health using laser-based diagnostic techniques, chemical analyses, and images. Our ambition is to create a unique soot database with uniform metrics that will be widely used by experimentalists and modelers in the aerosol, combustion, and astrophysics communities in the future.

Our database provides information on sample originality, their burning conditions, and their properties such as morphology (particle size, graphitic domain size, fringe spacing, curvature), optical property (complex refractive index, Ångström exponent, optical band gap), chemical compositions, and functional groups. You can also find the original data including HRTEM images, spectra including Raman scattering, ultraviolet-visible (UV-Vis) absorption, X-ray photoelectron spectroscopy (XPS), and near edge X-ray absorption fine structure spectroscopy (NEXAFS).

In addition, we offer a complimentary tool called SpecAnalyser to assist experimentalists in analyzing their spectral data with efficiency and accuracy.

Spec-Soot represents our vision to enhance soot studies through the application of spectroscopic techniques and to make our research more accessible to a wider range of users and stakeholders. By doing so, we hope to contribute to the global effort to address the issues of pollution and climate change resulting from soot emissions. We are looking for financial support to realize this idea. With the funding, Spec-Soot will have its own domain: http:\\ which stores all our old and new data. It is also allowed data contributions from other researchers around the world.

Kim Cuong Le

Lund University, Sweden

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