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Pls data

tl;dr

 Dataset  Notebook

Description

Nanocrystalline luminescence material of Sr2SnO4:Ti4+ has been synthesized by sonochemical method. The obtained powder then received heating treatment at different temperature of 100, 400, 600, 800, 1000, and 1400°C for two hours. X-ray diffraction pattern indicated that heating at 100°C would result in the presence of Sr2Sn(OH)8 as the dominant phase. Meanwhile, heating at 400°C stabilize SrSnO3 structure.

Solution

We used Python to read the imported raw/ data into DBRepo. Then we access the data from DBRepo through the Jupyter Notebook and filter the integer-multiples of the wavelength of the light source f=254 nm. The remainder of the work was to match the chart design using pyplot.

Jupyter Notebook

Figure 1: Reproduction of experiment chart.

DBRepo Features

  • Data preservation of raw PL-spectography data
  • Subset exploration
  • External visualization of the database
  • Replication of experiments using only open-source software

Acknowledgement

This work was part of a cooperation with the Institute of Technology Bandung.