Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Browse Through:

Default Task

Classification (10)
Regression (3)
Clustering (1)
Other (0)

Attribute Type

Categorical (0)
Numerical (10)
Mixed (0)

Data Type - Undo

Multivariate (37)
Univariate (3)
Sequential (5)
Time-Series (10)
Text (3)
Domain-Theory (2)
Other (0)

Area - Undo

Life Sciences (10)
Physical Sciences (8)
CS / Engineering (48)
Social Sciences (1)
Business (4)
Game (0)
Other (11)

# Attributes

Less than 10 (4)
10 to 100 (2)
Greater than 100 (4)

# Instances - Undo

Less than 100 (0)
100 to 1000 (4)
Greater than 1000 (10)

Format Type

Matrix (6)
Non-Matrix (4)

10 Data Sets

Table View  List View


1. sEMG for Basic Hand movements: The sEMG for Basic Hand movements includes 2 databases of surface electromyographic signals of 6 hand movements using Delsys' EMG System. Healthy subjects conducted six daily life grasps.

2. Simulated Falls and Daily Living Activities Data Set: 20 falls and 16 daily living activities were performed by 17 volunteers with 5 repetitions while wearing 6 sensors (3.060 instances) that attached to their head, chest, waist, wrist, thigh and ankle.

3. 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).

4. Smartphone-Based Recognition of Human Activities and Postural Transitions: Activity recognition data set built from the recordings of 30 subjects performing basic activities and postural transitions while carrying a waist-mounted smartphone with embedded inertial sensors.

5. Epileptic Seizure Recognition: This dataset is a pre-processed and re-structured/reshaped version of a very commonly used dataset featuring epileptic seizure detection.

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

7. EMG data for gestures: These are files of raw EMG data recorded by MYO Thalmic bracelet

8. Localization Data for Person Activity: Data contains recordings of five people performing different activities. Each person wore four sensors (tags) while performing the same scenario five times.

9. Bar Crawl: Detecting Heavy Drinking: Accelerometer and transdermal alcohol content data from a college bar crawl. Used to predict heavy drinking episodes via mobile data.

10. Bar Crawl: Detecting Heavy Drinking: Accelerometer and transdermal alcohol content data from a college bar crawl. Used to predict heavy drinking episodes via mobile data.


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML