Data of odorous signals from GC-MS/ODP methodology from the emissions from anaerobically stabilized dewatered biosolids

The collection contains set of data related to the odorous signals from sensory evaluation of biosolids emissison using GC-MS/ODP methodology.

This research was funded by the National Science Center (Poland) (NCN), project entitled "Key odorants selection based on their kinetic and degradation with the atmospheric components within the prediction of odorous range of wastewater treatment plants", OPUS 21, no. 2021/41/B/ST8/03440.

Data deposited in the repository was saved in .xlsx format. Data including information about the biosolids cake sample, days of storage, odorous signals from sensory evaluation, and assessors identifier. Set is accompanied by a file with the name "GC_sensory_methodology.txt" which contains information about the methodology, and parameters of analysis along with an indication of the name of the result file to which it refers. 

The files named "validODPresults.xlsx" and "GC-sensory methodology.txt" contain data related to the publication by Barczak R.J., Fisher R.M., Stuetz R.M., 2022, Importance of Musty Odour Character in the Emissions from Anaerobically Stabilized Dewatered Biosolids. Towards the Identification of Unknown Odour Components, Chemical Engineering Transactions, 95, 193-198, https://doi.org/10.3303/CET2295033, which is the result of the implementation of the OPUS scientific activity.