1. Balloons: Data previously used in cognitive psychology experiment; 4 data sets represent different conditions of an experiment 2. 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. 3. Challenger USA Space Shuttle O-Ring: Task: predict the number of O-rings that experience thermal distress on a flight at 31 degrees F given data on the previous 23 shuttle flights 4. Chemical Composition of Ceramic Samples: Classify ceramic samples based on their chemical composition from energy dispersive X-ray fluorescence 5. Container Crane Controller Data Set: A container crane has the function of transporting containers from one point to another point. 6. COVID-19 Surveillance: Coronavirus Disease (COVID-19) Surveillance. 7. Cryotherapy Dataset : This dataset contains information about wart treatment results of 90 patients using cryotherapy. 8. Daily Demand Forecasting Orders: The dataset was collected during 60 days, this is a real database of a brazilian logistics company. 9. 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 10. 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'. 11. Gait Classification: Gait is considered a biometric criterion. Therefore, we tried to classify people with gait analysis with this gait data set. 12. 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. 13. Lenses: Database for fitting contact lenses 14. Lung Cancer: Lung cancer data; no attribute definitions 15. Monolithic Columns in Troad and Mysia Region: These data have been constituted to clarify the distribution in Northwestern Anatolia of the monolithic columns produced in the ancient granite quarries located in Troad and Mysia Regions. 16. Monolithic Columns in Troad and Mysia Region: These data have been constituted to clarify the distribution in Northwestern Anatolia of the monolithic columns produced in the ancient granite quarries located in Troad and Mysia Regions. 17. Multi-view Brain Networks: Multi-layer brain network datasets derived from the resting-state electroencephalography (EEG) data. 18. Non verbal tourists data: This dataset contains the information about non-verbal preferences of tourists 19. 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. 20. 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. 21. Pedal Me Bicycle Deliveries: A dataset of weekly bicycle package deliveries by Pedal Me in London during 2020 and 2021. Nodes in the graph represent geographical units and edges are proximity based mutual adjacency relationships. 22. Person Classification Gait Data: Gait is considered a biometric criterion. Therefore, we tried to classify people with gait analysis with this gait data set. 23. Post-Operative Patient: Dataset of patient features 24. SCADI: First self-care activities dataset based on ICF-CY. 25. Shuttle Landing Control: Tiny database; all nominal values 26. Soybean (Small): Michalski's famous soybean disease database 27. Sponge: Data on sponges; Attributes in spanish 28. 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. 29. Trains: 2 data formats (structured, one-instance-per-line) 30. Vehicle routing and scheduling problems: Data collection was conducted through notes taken during the distribution of orders in a courier company that operates in the region and in the city of São Paulo (Brazil). |