1. Balloons: Data previously used in cognitive psychology experiment; 4 data sets represent different conditions of an experiment
2. Lenses: Database for fitting contact lenses
3. Lung Cancer: Lung cancer data; no attribute definitions
4. Post-Operative Patient: Dataset of patient features
5. Shuttle Landing Control: Tiny database; all nominal values
6. Soybean (Small): Michalski's famous soybean disease database
7. Trains: 2 data formats (structured, one-instance-per-line)
8. Data for Software Engineering Teamwork Assessment in Education Setting: Data include over 100 Team Activity Measures and outcomes (ML classes) obtained from activities of 74 student teams during the creation of final class project in SW Eng. classes at SFSU, Fulda, FAU
9. Gastrointestinal Lesions in Regular Colonoscopy: This dataset contains features extracted from colonoscopy videos used to detect gastrointestinal lesions. It contains 76 lesions: 15 serrated adenomas, 21 hyperplastic lesions and 40 adenoma.
10. Immunotherapy Dataset: This dataset contains information about wart treatment results of 90 patients using immunotherapy.
11. Cryotherapy Dataset : This dataset contains information about wart treatment results of 90 patients using cryotherapy.
12. OCT data & Color Fundus Images of Left & Right Eyes: This dataset contains OCT data (in mat format) and color fundus data (in jpg format) of left & right eyes of 50 healthy persons.
13. Discrete Tone Image Dataset: Discrete Tone Images(DTI)are available which needs to be analyzed in detail. Here, we created this dataset for those who do research in DTI.
14. DBWorld e-mails: It contains 64 e-mails which I have manually collected from DBWorld mailing list. They are classified in: 'announces of conferences' and 'everything else'.
15. StoneFlakes: Stone flakes are waste products of the stone tool production in
the prehistoric era. The variables are means of geometric and
stylistic features of the flakes contained in different inventories.
16. Gas sensor array under flow modulation: The data set contains 58 time series acquired from 16 chemical sensors under gas flow modulation conditions. The sensors were exposed to different gaseous binary mixtures of acetone and ethanol.
17. Improved Spiral Test Using Digitized Graphics Tablet for Monitoring Parkinson’s Disease: Handwriting database consists of 25 PWP(People with Parkinson) and 15 healthy individuals.Three types of recordings (Static Spiral Test, Dynamic Spiral Test and Stability Test) are taken.
18. Parkinson Disease Spiral Drawings Using Digitized Graphics Tablet: Handwriting database consists of 62 PWP(People with Parkinson) and 15 healthy individuals. Three types of recordings (Static Spiral Test, Dynamic Spiral Test and Stability Test) are taken.