1. Activity Recognition from Single Chest-Mounted Accelerometer: The dataset collects data from a wearable accelerometer mounted on the chest. The dataset is intended for Activity Recognition research purposes.
2. Badges: Badges labeled with a "+" or "-" as a function of a person's name
3. Caesarian Section Classification Dataset: This dataset contains information about caesarian section results of 80 pregnant women with the most important characteristics of delivery problems in the medical field.
4. Carbon Nanotubes: This dataset contains 10721 initial and calculated atomic coordinates of carbon nanotubes.
5. Container Crane Controller Data Set: A container crane has the function of transporting containers from one point to another point.
6. Cryotherapy Dataset : This dataset contains information about wart treatment results of 90 patients using cryotherapy.
7. Divorce Predictors data set: Participants completed the Personal Information Form and Divorce Predictors Scale.
8. ISTANBUL STOCK EXCHANGE: Data sets includes returns of Istanbul Stock Exchange with seven other international index; SP, DAX, FTSE, NIKKEI, BOVESPA, MSCE_EU, MSCI_EM from Jun 5, 2009 to Feb 22, 2011.
9. KEGG Metabolic Reaction Network (Undirected): KEGG Metabolic pathways modeled as un-directed reaction network. Variety of graphical features presented.
10. KEGG Metabolic Relation Network (Directed): KEGG Metabolic pathways modeled as directed relation network. Variety of graphical features presented.
11. Nomao: Nomao collects data about places (name, phone, localization...) from many sources.
Deduplication consists in detecting what data refer to the same place.
Instances in the dataset compare 2 spots.
12. 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.
13. Planning Relax: The dataset concerns with the classification of two mental stages from recorded EEG signals: Planning (during imagination of motor act) and Relax state.
14. Skin Segmentation: The Skin Segmentation dataset is constructed over B, G, R color space. Skin and Nonskin dataset is generated using skin textures from face images of diversity of age, gender, and race people.