NIST/NIJ Characterized Authentic Drug Sample (CADS) Project

Description

Development and validation of new analytical or data tools for seized drug analysis require demonstration of the approach's ability to accurately detect the components of complex, realistic drug mixtures. However, gaining access to these types of samples, or the data from these types of samples, can be difficult. To help address this gap, the Characterized Authentic Drug Samples (CADS) project aims to: 1) source authentic seized drug samples from collaborating forensic laboratories, 2) characterize the samples using a variety of analytical tools, and 3) make available small amounts of the samples, as well as the corresponding data, to researchers and practitioners.This dataset provides pdf reports of analysis for all available CADS samples.Disclaimer: Certain commercial products are identified in order to adequately specify the procedure; this does not imply endorsement or recommendation by NIST, nor does it imply that such products are necessarily the best available for the purpose. A portion of this work was supported by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice.

Resources

Name Format Description Link
0 Link to website where raw and processed data from the analysis of CADS can be accessed. https://data.nist.gov/pdr/lps/ark:/88434/mds2-3628
57 Zip folder contains the 24 Reports of Analysis for CADS Panel 1 samples. The reports provide information on sample makeup as well as summary results and data to support compound identifications. https://data.nist.gov/od/ds/mds2-3627/CADS%20Panel%201%20Reports.zip
33 PDF document that provides information on the analytical methods used to characterize CADS samples. https://data.nist.gov/od/ds/mds2-3627/CADS%20Analytical%20Methods.pdf
47 A text file that contains information regarding the CADS project, the reports, and the analytical methods document. https://data.nist.gov/od/ds/mds2-3627/CADS%20README.txt

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  • seized-drugs-validation-gc-ms-dart-ms-ftir

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