An investigation was performed on each of the individual CASMI datasets to identify whether the chemicals were present in DSSTox, the database underlying the Dashboard (see Methods for details). As our identification workflow relies on database presence, the presence or absence of a chemical in the database is clearly highly influential in terms of overall performance. Results from the dataset assembly analysis from each CASMI year dataset are presented in Table 1 and described in detail by dataset year below (complete datasets are provided in Supplemental File 2 and available as lists on the Dashboard). This dataset is associated with the following publication: McEachran, A., A. Chao, H. Al-Ghoul, C. Lowe, C. Grulke, J. Sobus, and A. Williams. Revisiting Five Years of CASMI Contests with EPA Identification Tools. Metabolites. MDPI AG, Basel, SWITZERLAND, 10(6): 260, (2020).
OwnerUnited State Environmental Protection Agency - view all
Update frequencyunknown
Last updatedabout 1 year ago
Overviewactorcompound databasehigh-resolution mass spectrometrymass spectral fragmentation predictionnon-targeded analysisspectral library
Additional Information
KeyValue
dcat_modified2020-06-19
dcat_publisher_nameU.S. EPA Office of Research and Development (ORD)
guidhttps://doi.org/10.23719/1520123
ib1_trust_framework[]
language