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31 Data Sets

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1. Algerian Forest Fires Dataset : The dataset includes 244 instances that regroup a data of two regions of Algeria.

2. Amphibians: The dataset is a multilabel classification problem. The goal is to predict the presence of amphibians species near the water reservoirs based on features obtained from GIS systems and satellite images

3. Anuran Calls (MFCCs): Acoustic features extracted from syllables of anuran (frogs) calls, including the family, the genus, and the species labels (multilabel).

4. Bone marrow transplant: children: The data set describes pediatric patients with several hematologic diseases, who were subject to the unmanipulated allogeneic unrelated donor hematopoietic stem cell transplantation.

5. Breast Cancer Coimbra: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls.

6. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database

7. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database

8. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database

9. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast.

10. Cardiotocography: The dataset consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians.

11. Cervical cancer (Risk Factors): This dataset focuses on the prediction of indicators/diagnosis of cervical cancer. The features cover demographic information, habits, and historic medical records.

12. Diabetes 130-US hospitals for years 1999-2008: This data has been prepared to analyze factors related to readmission as well as other outcomes pertaining to patients with diabetes.

13. Divorce Predictors data set: Participants completed the “Personal Information Form” and “Divorce Predictors Scale”.

14. Divorce Predictors data set: Participants completed the Personal Information Form and Divorce Predictors Scale.

15. Early biomarkers of Parkinsons disease based on natural connected speech: Predict a pattern of neurodegeneration in the dataset of speech features obtained from patients with early untreated Parkinson’s disease and patients at high risk developing Parkinson’s disease.

16. EEG Eye State: The data set consists of 14 EEG values and a value indicating the eye state.

17. EEG Steady-State Visual Evoked Potential Signals: This database consists on 30 subjects performing Brain Computer Interface for Steady State Visual Evoked Potentials (BCI-SSVEP).

18. Estimation of obesity levels based on eating habits and physical condition : This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition.

19. HCC Survival: Hepatocellular Carcinoma dataset (HCC dataset) was collected at a University Hospital in Portugal. It contains real clinical data of 165 patients diagnosed with HCC.

20. HCV data: The data set contains laboratory values of blood donors and Hepatitis C patients and demographic values like age.

21. Heart failure clinical records: This dataset contains the medical records of 299 patients who had heart failure, collected during their follow-up period, where each patient profile has 13 clinical features.

22. Hepatitis C Virus (HCV) for Egyptian patients: Egyptian patients who underwent treatment dosages for HCV about 18 months. Discretization should be applied based on expert recommendations; there is an attached file shows how.

23. KEGG Metabolic Reaction Network (Undirected): KEGG Metabolic pathways modeled as un-directed reaction network. Variety of graphical features presented.

24. KEGG Metabolic Relation Network (Directed): KEGG Metabolic pathways modeled as directed relation network. Variety of graphical features presented.

25. Lung Cancer: Lung cancer data; no attribute definitions

26. Mice Protein Expression: Expression levels of 77 proteins measured in the cerebral cortex of 8 classes of control and Down syndrome mice exposed to context fear conditioning, a task used to assess associative learning.

27. Parkinson Speech Dataset with Multiple Types of Sound Recordings: The training data belongs to 20 Parkinson's Disease (PD) patients and 20 healthy subjects. From all subjects, multiple types of sound recordings (26) are taken.

28. Parkinsons: Oxford Parkinson's Disease Detection Dataset

29. Quality Assessment of Digital Colposcopies: This dataset explores the subjective quality assessment of digital colposcopies.

30. Refractive errors: Effect of life style and genetic on eye refractive errors.

31. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.


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