Seized Ecstasy Pills: Infrared Spectra and Image Datasets

Luc Patiny, Michaël Zasso, Pierre Esseiva and Julien Wist
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Luc Patiny: Zakodium Sàrl, 1027 Lonay, Switzerland
Michaël Zasso: Zakodium Sàrl, 1027 Lonay, Switzerland
Pierre Esseiva: Institut de Police Scientifique, Université de Lausanne, 1015 Lausanne, Switzerland
Julien Wist: Chemistry Department, Universidad del Valle, Cali 76008, Colombia

Data, 2020, vol. 5, issue 4, 1-7

Abstract: According to the World Drug Report 2020, cocaine and ecstasy are the most consumed stimulant drugs, with 19 and 27 million estimated users in 2018. In this context, large efforts are being made to design fast and cost-effective analytical methods to track and monitor the distribution networks of these synthetic drugs. Here, we share two datasets of ecstasy pills seized in the northeast of Switzerland between 2010 and 2011. The first contains 621 forensic-grade images of pills, while the second one consists of 486 mid-infrared (mIR) spectra. While both sets are not covering the same seizure, both provide high-quality data with orthogonal information to evaluate clustering and dimension reduction methods.

Keywords: ecstasy; XTC; dataset; mIR; image analysis; machine learning (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
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