1. User Knowledge Modeling: It is the real dataset about the students' knowledge status about the subject of Electrical DC Machines. The dataset had been obtained from Ph.D. Thesis.
2. Perfume Data: This data consists of odors of 20 different perfumes. Data was obtained by using a handheld odor meter (OMX-GR sensor) per second for 28 seconds period.
3. AAAI 2014 Accepted Papers: This data set compromises the metadata for the 2014 AAAI conference's accepted papers, including paper titles, authors, abstracts, and keywords of varying granularity.
4. AAAI 2013 Accepted Papers: This data set compromises the metadata for the 2013 AAAI conference's accepted papers (main track only), including paper titles, abstracts, and keywords of varying granularity.
5. Kain Tradisional Sambas: This data set consist of 5 patterns of Kain Tradisional Sambas's features from CFS (Correlation-Based Feature Selection) method which are Angular Second Moment, Contrast, and Correlation
6. Dishonest Internet users Dataset: The dataset was used to test an architecture based on a trust model capable to cope with the evaluation of the trustworthiness of users interacting in pervasive environments.