-  [**返回**](../README.md)  | [**下载**](../data.md)

## [UCI 加州大学欧文分校机器学习存储库](http://archive.ics.uci.edu/ml/datasets.php) Machine Learning Repository DataSets  

> Browse Through:622 Data Sets
### Default Task  
Classification (466)  
Regression (151)  
Clustering (121)  
Other (56)  
### Attribute Type  
Categorical (38)  
Numerical (422)  
Mixed (55)  
### Data Type  
Multivariate (480)  
Univariate (30)  
Sequential (59)  
Time-Series (126)  
Text (69)  
Domain-Theory (23)  
Other (21)  
### Area  
Life Sciences (147)  
Physical Sciences (57)  
CS / Engineering (234)  
Social Sciences (41)  
Business (45)  
Game (12)  
Other (81)  
### Attributes  
Less than 10 (166)  
10 to 100 (279)  
Greater than 100 (110)  
### Instances  
Less than 100 (38)  
100 to 1000 (210)  
Greater than 1000 (339)  
### Format Type  
Matrix (439)  
Non-Matrix (183)  

>  List View

|No.|Name|contents|
|:----|:----|:----|
|1.|[2.4 GHZ Indoor Channel Measurements](http://archive.ics.uci.edu/ml/datasets/2.4+GHZ+Indoor+Channel+Measurements)|: Measurement of the S21,consists of 10 sweeps, each sweep contains 601 frequency points with spacing of 0167MHz to cover a 100MHz band centered at 24GHz
|2.|[3D Road Network (North Jutland, Denmark)](http://archive.ics.uci.edu/ml/datasets/3D+Road+Network+%28North+Jutland%2C+Denmark%29)|: 3D road network with highly accurate elevation information (+-20cm) from Denmark used in eco-routing and fuel/Co2-estimation routing algorithms
|3.|[3W dataset](http://archive.ics.uci.edu/ml/datasets/3W+dataset)|: The first realistic and public dataset with rare undesirable real events in oil wells
|4.|[9mers from cullpdb](http://archive.ics.uci.edu/ml/datasets/9mers+from+cullpdb)|: Provide a short description of your data set (less than 200 characters)
|5.|[: Simulated Data set of Iraqi tourism places](http://archive.ics.uci.edu/ml/datasets/%3A+Simulated+Data+set+of+Iraqi+tourism+places)|: Simulated Data set of Iraqi tourism places with their position (longitude,latitude)and type of interest for each place
|6.|[A study of  Asian Religious and Biblical Texts](http://archive.ics.uci.edu/ml/datasets/A+study+of++Asian+Religious+and+Biblical+Texts)|: Mainly from Project Gutenberg, we combine Upanishads, Yoga Sutras, Buddha Sutras, Tao Te Ching and Book of Wisdom, Book of Proverbs, Book of Ecclesiastes and Book of Ecclesiasticus
|7.|[AAAI 2013 Accepted Papers](http://archive.ics.uci.edu/ml/datasets/AAAI+2013+Accepted+Papers)|: This data set compromises the metadata for the 2013 AAAI conference\'s accepted papers (main track only), including paper titles, abstracts, and keywords of varying granularity
|8.|[AAAI 2014 Accepted Papers](http://archive.ics.uci.edu/ml/datasets/AAAI+2014+Accepted+Papers)|: This data set compromises the metadata for the 2014 AAAI conference\'s accepted papers, including paper titles, authors, abstracts, and keywords of varying granularity
|9.|[Abalone](http://archive.ics.uci.edu/ml/datasets/Abalone)|: Predict the age of abalone from physical measurements
|10.|[Abscisic Acid Signaling Network](http://archive.ics.uci.edu/ml/datasets/Abscisic+Acid+Signaling+Network)|: The objective is to determine the set of boolean rules that describe the interactions of the nodes within this plant signaling network  The dataset includes 300 separate boolean pseudodynamic simulations using an asynchronous update scheme
|11.|[Absenteeism at work](http://archive.ics.uci.edu/ml/datasets/Absenteeism+at+work)|: The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil
|12.|[Accelerometer](http://archive.ics.uci.edu/ml/datasets/Accelerometer)|: Accelerometer data from vibrations of a cooler fan with weights on its blades It can be used for predictions, classification and other tasks that require vibration analysis, especially in engines
|13.|[Activities of Daily Living (ADLs) Recognition Using Binary Sensors](http://archive.ics.uci.edu/ml/datasets/Activities+of+Daily+Living+%28ADLs%29+Recognition+Using+Binary+Sensors)|: This dataset comprises information regarding the ADLs performed by two users on a daily basis in their \r\nown homes  
|14.|[Activity Recognition from Single Chest-Mounted Accelerometer](http://archive.ics.uci.edu/ml/datasets/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
|15.|[Activity Recognition system based on Multisensor data fusion (AReM)](http://archive.ics.uci.edu/ml/datasets/Activity+Recognition+system+based+on+Multisensor+data+fusion+%28AReM%29)|: This dataset contains temporal data from a Wireless Sensor Network worn by an actor performing the activities: bending, cycling, lying down, sitting, standing, walking
|16.|[Activity recognition using wearable physiological measurements](http://archive.ics.uci.edu/ml/datasets/Activity+recognition+using+wearable+physiological+measurements)|: This dataset contains features from Electrocardiogram (ECG), Thoracic Electrical Bioimpedance (TEB) and the Electrodermal Activity (EDA) for activity recognition
|17.|[Activity recognition with healthy older people using a batteryless wearable sensor](http://archive.ics.uci.edu/ml/datasets/Activity+recognition+with+healthy+older+people+using+a+batteryless+wearable+sensor)|: Sequential motion data from 14 healthy older people aged 66 to 86 years old using a batteryless, wearable sensor on top of their clothing for the recognition of activities in clinical environments
|18.|[Acute Inflammations](http://archive.ics.uci.edu/ml/datasets/Acute+Inflammations)|: The data was created by a medical expert as a data set to test the expert system, \r\nwhich will perform the presumptive diagnosis of two diseases of the urinary system\r\n
|19.|[Adult](http://archive.ics.uci.edu/ml/datasets/Adult)|: Predict whether income exceeds $50K/yr based on census data  Also known as "Census Income" dataset
|20.|[AI4I 2020 Predictive Maintenance Dataset](http://archive.ics.uci.edu/ml/datasets/AI4I+2020+Predictive+Maintenance+Dataset)|: The AI4I 2020 Predictive Maintenance Dataset is a synthetic dataset that reflects real predictive maintenance data encountered in industry
|21.|[Air Quality](http://archive.ics.uci.edu/ml/datasets/Air+Quality)|: Contains the responses of a gas multisensor device deployed on the field in an Italian city Hourly responses averages are recorded along with gas concentrations references from a certified analyzer
|22.|[Air quality](http://archive.ics.uci.edu/ml/datasets/Air+quality)|:  Contains the responses of a gas multisensor device deployed on the field in an Italian city
|23.|[Airfoil Self-Noise](http://archive.ics.uci.edu/ml/datasets/Airfoil+Self-Noise)|: NASA data set, obtained from a series of aerodynamic and acoustic tests of two and three-dimensional airfoil blade sections conducted in an anechoic wind tunnel
|24.|[Alcohol QCM Sensor Dataset](http://archive.ics.uci.edu/ml/datasets/Alcohol+QCM+Sensor+Dataset)|: Five different QCM gas sensors are used, and five different gas measurements (1-octanol, 1-propanol, 2-butanol, 2-propanol and 1-isobutanol) are conducted in each of these sensors
|25.|[Algerian Forest Fires Dataset  ](http://archive.ics.uci.edu/ml/datasets/Algerian+Forest+Fires+Dataset++)|: The dataset includes 244 instances that regroup a data of two regions of Algeria
|26.|[Amazon Access Samples](http://archive.ics.uci.edu/ml/datasets/Amazon+Access+Samples)|: Amazon\'s InfoSec is getting smarter about the way Access data is leveraged This is an anonymized sample of access provisioned within the company
|27.|[Amazon Commerce reviews set](http://archive.ics.uci.edu/ml/datasets/Amazon+Commerce+reviews+set)|: The dataset is used for authorship identification in online Writeprint which is a new research field of pattern recognition
|28.|[Amphibians](http://archive.ics.uci.edu/ml/datasets/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
|29.|[Annealing](http://archive.ics.uci.edu/ml/datasets/Annealing)|: Steel annealing data
|30.|[Anonymous Microsoft Web Data](http://archive.ics.uci.edu/ml/datasets/Anonymous+Microsoft+Web+Data)|: Log of anonymous users of wwwmicrosoftcom; predict areas of the web site a user visited based on data on other areas the user visited
|31.|[Anticancer peptides](http://archive.ics.uci.edu/ml/datasets/Anticancer+peptides)|: Peptides with experimental annotations on their anticancer action on breast and lung cancer cells
|32.|[Anuran Calls (MFCCs)](http://archive.ics.uci.edu/ml/datasets/Anuran+Calls+%28MFCCs%29)|: Acoustic features extracted from syllables of anuran (frogs) calls, including the family, the genus, and the species labels (multilabel)
|33.|[Apartment for rent classified](http://archive.ics.uci.edu/ml/datasets/Apartment+for+rent+classified)|: This is a dataset of classified for apartments for rent in USA\r\n
|34.|[Appliances energy prediction](http://archive.ics.uci.edu/ml/datasets/Appliances+energy+prediction)|: Experimental data used to create regression models of appliances energy use in a low energy building
|35.|[APS Failure at Scania Trucks](http://archive.ics.uci.edu/ml/datasets/APS+Failure+at+Scania+Trucks)|: The datasets\' positive class consists of component failures for a specific component of the APS system The negative class consists of trucks with failures for components not related to the APS
|36.|[Arcene](http://archive.ics.uci.edu/ml/datasets/Arcene)|: ARCENE\'s task is to distinguish cancer versus normal patterns from mass-spectrometric data This is a two-class classification problem with continuous input variables This dataset is one of 5 datasets of the NIPS 2003 feature selection challenge
|37.|[Arrhythmia](http://archive.ics.uci.edu/ml/datasets/Arrhythmia)|: Distinguish between the presence and absence of cardiac arrhythmia and classify it in one of the 16 groups
|38.|[Artificial Characters](http://archive.ics.uci.edu/ml/datasets/Artificial+Characters)|: Dataset artificially generated by using first order theory which describes structure of ten capital letters of English alphabet
|39.|[Audiology (Original)](http://archive.ics.uci.edu/ml/datasets/Audiology+%28Original%29)|: Nominal audiology dataset from Baylor
|40.|[Audiology (Standardized)](http://archive.ics.uci.edu/ml/datasets/Audiology+%28Standardized%29)|: Standardized version of the original audiology database
|41.|[Audit Data](http://archive.ics.uci.edu/ml/datasets/Audit+Data)|: Exhaustive one year non-confidential data in the year 2015 to 2016 of firms is collected from the Auditor Office of India to build a predictor for classifying suspicious firms
|42.|[Australian Sign Language signs](http://archive.ics.uci.edu/ml/datasets/Australian+Sign+Language+signs)|: This data consists of sample of Auslan (Australian Sign Language) signs Examples of 95 signs were collected from five signers with a total of 6650 sign samples
|43.|[Australian Sign Language signs (High Quality)](http://archive.ics.uci.edu/ml/datasets/Australian+Sign+Language+signs+%28High+Quality%29)|: This data consists of sample of Auslan (Australian Sign Language) signs 27 examples of each of 95 Auslan signs were captured from a native signer using high-quality position trackers
|44.|[Autism Screening Adult](http://archive.ics.uci.edu/ml/datasets/Autism+Screening+Adult)|: Autistic Spectrum Disorder Screening Data for Adult This dataset is related to classification and predictive tasks
|45.|[Autistic Spectrum Disorder Screening Data for Adolescent   ](http://archive.ics.uci.edu/ml/datasets/Autistic+Spectrum+Disorder+Screening+Data+for+Adolescent+++)|: Autistic Spectrum Disorder Screening Data for Adolescent This dataset is related to classification and predictive tasks
|46.|[Autistic Spectrum Disorder Screening Data for Children  ](http://archive.ics.uci.edu/ml/datasets/Autistic+Spectrum+Disorder+Screening+Data+for+Children++)|: Children screening data for autism suitable for classification and predictive tasks
|47.|[Auto MPG](http://archive.ics.uci.edu/ml/datasets/Auto+MPG)|: Revised from CMU StatLib library, data concerns city-cycle fuel consumption
|48.|[Automobile](http://archive.ics.uci.edu/ml/datasets/Automobile)|: From 1985 Ward\'s Automotive Yearbook
|49.|[AutoUniv](http://archive.ics.uci.edu/ml/datasets/AutoUniv)|: AutoUniv is an advanced data generator for classifications tasks The aim is to reflect the nuances and heterogeneity of real data  Data can be generated in csv, ARFF or C45 formats
|50.|[Average Localization Error (ALE) in sensor node localization process in WSNs](http://archive.ics.uci.edu/ml/datasets/Average+Localization+Error+%28ALE%29+in+sensor+node+localization+process+in+WSNs)|: This data set can be used to test any regression-based machine learning algorithm You can predict the ALE variable using four features
|51.|[Avila](http://archive.ics.uci.edu/ml/datasets/Avila)|: The Avila data set has been extracted from 800 images of the \'Avila Bible\', an XII century giant Latin copy of the Bible  The prediction task consists in associating each pattern to a copyist
|52.|[Bach Choral Harmony](http://archive.ics.uci.edu/ml/datasets/Bach+Choral+Harmony)|: The data set is composed of 60 chorales (5665 events) by JS Bach (1675-1750)\r\nEach event of each chorale is labelled using 1 among 101 chord labels and described\r\nthrough 14 features
|53.|[Bach Chorales](http://archive.ics.uci.edu/ml/datasets/Bach+Chorales)|: Time-series data based on chorales; challenge is to learn generative grammar; data in Lisp
|54.|[Badges](http://archive.ics.uci.edu/ml/datasets/Badges)|: Badges labeled with a "+" or "-" as a function of a person\'s name
|55.|[Bag of Words](http://archive.ics.uci.edu/ml/datasets/Bag+of+Words)|: This data set contains five text collections in the form of bags-of-words
|56.|[Balance Scale](http://archive.ics.uci.edu/ml/datasets/Balance+Scale)|: Balance scale weight & distance database
|57.|[Balloons](http://archive.ics.uci.edu/ml/datasets/Balloons)|: Data previously used in cognitive psychology experiment; 4 data sets represent different conditions of an experiment
|58.|[Bank Marketing](http://archive.ics.uci.edu/ml/datasets/Bank+Marketing)|: The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution The classification goal is to predict if the client will subscribe a term deposit (variable y)
|59.|[banknote authentication](http://archive.ics.uci.edu/ml/datasets/banknote+authentication)|: Data were extracted from images that were taken for the evaluation of an authentication procedure for banknotes
|60.|[Bar Crawl: Detecting Heavy Drinking](http://archive.ics.uci.edu/ml/datasets/Bar+Crawl%3A+Detecting+Heavy+Drinking)|: Accelerometer and transdermal alcohol content data from a college bar crawl Used to predict heavy drinking episodes via mobile data
|61.|[Bar Crawl: Detecting Heavy Drinking](http://archive.ics.uci.edu/ml/datasets/Bar+Crawl%3A+Detecting+Heavy+Drinking)|: Accelerometer and transdermal alcohol content data from a college bar crawl Used to predict heavy drinking episodes via mobile data
|62.|[Basketball dataset](http://archive.ics.uci.edu/ml/datasets/Basketball+dataset)|: It\'s data collected from different volunteers that are done in a basketball practice: dribbling, pass, shoot, picking the ball, and holding the ball
|63.|[BAUM-1](http://archive.ics.uci.edu/ml/datasets/BAUM-1)|: BAUM-1 dataset contains 1184 multimodal facial video clips collected from 31 subjects The 1184 video clips contain spontaneous facial expressions and speech of 13 emotional and mental states
|64.|[BAUM-2](http://archive.ics.uci.edu/ml/datasets/BAUM-2)|: A multilingual audio-visual affective face database consisting of 1047 video clips of 286 subjects
|65.|[Behavior of the urban traffic of the city of Sao Paulo in Brazil](http://archive.ics.uci.edu/ml/datasets/Behavior+of+the+urban+traffic+of+the+city+of+Sao+Paulo+in+Brazil)|: The database was created with records of behavior of the urban traffic of the city of Sao Paulo in Brazil
|66.|[Beijing Multi-Site Air-Quality Data](http://archive.ics.uci.edu/ml/datasets/Beijing+Multi-Site+Air-Quality+Data)|: This hourly data set considers 6 main air pollutants and 6 relevant meteorological variables at multiple sites in Beijing
|67.|[Beijing PM2.5 Data](http://archive.ics.uci.edu/ml/datasets/Beijing+PM2.5+Data)|: This hourly data set contains the PM25 data of US Embassy in Beijing Meanwhile, meteorological data from Beijing Capital International Airport are also included
|68.|[Bias correction of numerical prediction model temperature forecast](http://archive.ics.uci.edu/ml/datasets/Bias+correction+of+numerical+prediction+model+temperature+forecast)|: It contains fourteen numerical weather prediction (NWP)\'s meteorological forecast data, two in-situ observations, and five geographical auxiliary variables over Seoul, South Korea in the summer \r\n
|69.|[Bike Sharing Dataset](http://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset)|: This dataset contains the hourly and daily count of rental bikes between years 2011 and 2012 in Capital bikeshare system with the corresponding weather and seasonal information
|70.|[BitcoinHeistRansomwareAddressDataset](http://archive.ics.uci.edu/ml/datasets/BitcoinHeistRansomwareAddressDataset)|: BitcoinHeist datasets contains address features on the heterogeneous Bitcoin network to identify ransomware payments
|71.|[BLE RSSI dataset for Indoor localization](http://archive.ics.uci.edu/ml/datasets/BLE+RSSI+dataset+for+Indoor+localization)|: This dataset contains RSSIs obtained on smartphones(Sony Xperia XA1) Signals were transmitted from BLE product called iTAG Location column denotes the position of iTAG in building\'s entry
|72.|[BLE RSSI Dataset for Indoor localization and Navigation](http://archive.ics.uci.edu/ml/datasets/BLE+RSSI+Dataset+for+Indoor+localization+and+Navigation)|: This dataset contains RSSI readings gathered from an array of Bluetooth Low Energy (BLE) iBeacons in a real-world and operational indoor environment for localization and navigation purposes
|73.|[BlogFeedback](http://archive.ics.uci.edu/ml/datasets/BlogFeedback)|: Instances in this dataset contain features extracted from blog posts The task associated with the data is to predict how many comments the post will receive
|74.|[BLOGGER](http://archive.ics.uci.edu/ml/datasets/BLOGGER)|: In this paper, we look for to recognize the causes of users tend\r\nto cyber space in Kohkiloye and Boyer Ahmad Province in\r\nIran
|75.|[Blood Transfusion Service Center](http://archive.ics.uci.edu/ml/datasets/Blood+Transfusion+Service+Center)|: Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan -- this is a classification problem
|76.|[Bone marrow transplant: children](http://archive.ics.uci.edu/ml/datasets/Bone+marrow+transplant%3A+children)|: The data set describes pediatric patients with several hematologic diseases, who were subject to the unmanipulated allogeneic unrelated donor hematopoietic stem cell transplantation
|77.|[Breast Cancer](http://archive.ics.uci.edu/ml/datasets/Breast+Cancer)|: Breast Cancer Data (Restricted Access)
|78.|[Breast Cancer Coimbra](http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Coimbra)|: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls
|79.|[Breast Cancer Wisconsin (Diagnostic)](http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29)|: Diagnostic Wisconsin Breast Cancer Database
|80.|[Breast Cancer Wisconsin (Original)](http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29)|: Original Wisconsin Breast Cancer Database
|81.|[Breast Cancer Wisconsin (Prognostic)](http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Prognostic%29)|: Prognostic Wisconsin Breast Cancer Database
|82.|[Breast Tissue](http://archive.ics.uci.edu/ml/datasets/Breast+Tissue)|: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast
|83.|[Breath Metabolomics](http://archive.ics.uci.edu/ml/datasets/Breath+Metabolomics)|: Breath analysis is a pivotal method for biological phenotyping In a pilot study, 100 experiments with four subjects have been performed to study the reproducibility of this technique
|84.|[BuddyMove Data Set](http://archive.ics.uci.edu/ml/datasets/BuddyMove+Data+Set)|: User interest information extracted from user reviews published in holidayiqcom about various types of point of interests in South India
|85.|[Burst Header Packet (BHP) flooding attack on Optical Burst Switching (OBS) Network](http://archive.ics.uci.edu/ml/datasets/Burst+Header+Packet+%28BHP%29+flooding+attack+on+Optical+Burst+Switching+%28OBS%29+Network)|: One of the primary challenges in identifying the risks of the Burst Header Packet (BHP) flood attacks in Optical Burst Switching networks (OBS) is the scarcity of reliable historical data  
|86.|[Buzz in social media ](http://archive.ics.uci.edu/ml/datasets/Buzz+in+social+media+)|: This data-set contains examples of buzz events from two different social networks: Twitter, and Tom\'s Hardware, a forum network focusing on new technology with more conservative dynamics
|87.|[Caesarian Section Classification Dataset](http://archive.ics.uci.edu/ml/datasets/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
|88.|[CalIt2 Building People Counts](http://archive.ics.uci.edu/ml/datasets/CalIt2+Building+People+Counts)|: This data comes from the main door of the CalIt2 building at UCI
|89.|[Car Evaluation](http://archive.ics.uci.edu/ml/datasets/Car+Evaluation)|: Derived from simple hierarchical decision model, this database may be useful for testing constructive induction and structure discovery methods
|90.|[Carbon Nanotubes](http://archive.ics.uci.edu/ml/datasets/Carbon+Nanotubes)|: This dataset contains 10721 initial and calculated atomic coordinates of carbon nanotubes
|91.|[Cardiotocography](http://archive.ics.uci.edu/ml/datasets/Cardiotocography)|: The dataset consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians
|92.|[Cargo 2000 Freight Tracking and Tracing](http://archive.ics.uci.edu/ml/datasets/Cargo+2000+Freight+Tracking+and+Tracing)|: Sanitized and anonymized Cargo 2000 (C2K) airfreight tracking and tracing events, covering five months of business execution (3,942 process instances, 7,932 transport legs, 56,082 activities)
|93.|[Census Income](http://archive.ics.uci.edu/ml/datasets/Census+Income)|: Predict whether income exceeds $50K/yr based on census data  Also known as "Adult" dataset
|94.|[Census-Income (KDD)](http://archive.ics.uci.edu/ml/datasets/Census-Income+%28KDD%29)|: This data set contains weighted census data extracted from the 1994 and 1995 current population surveys conducted by the US Census Bureau
|95.|[Cervical cancer (Risk Factors)](http://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29)|: This dataset focuses on the prediction of indicators/diagnosis of cervical cancer The features cover demographic information, habits, and historic medical records
|96.|[Cervical Cancer Behavior Risk](http://archive.ics.uci.edu/ml/datasets/Cervical+Cancer+Behavior+Risk)|: The dataset contains 19 attributes regarding ca cervix behavior risk with class label is ca_cervix with 1 and 0 as values which means the respondent with and without ca cervix, respectively
|97.|[Challenger USA Space Shuttle O-Ring](http://archive.ics.uci.edu/ml/datasets/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
|98.|[Character Font Images](http://archive.ics.uci.edu/ml/datasets/Character+Font+Images)|: Character images from scanned and computer generated fonts
|99.|[Character Trajectories](http://archive.ics.uci.edu/ml/datasets/Character+Trajectories)|: Multiple, labelled samples of pen tip trajectories recorded whilst writing individual characters All samples are from the same writer, for the purposes of primitive extraction Only characters with a single pen-down segment were considered
|100.|[Chemical Composition of Ceramic Samples](http://archive.ics.uci.edu/ml/datasets/Chemical+Composition+of+Ceramic+Samples)|: Classify ceramic samples based on their chemical composition from energy dispersive X-ray fluorescence
|101.|[Chess (Domain Theories)](http://archive.ics.uci.edu/ml/datasets/Chess+%28Domain+Theories%29)|: 6 different domain theories for generating legal moves of chess
|102.|[Chess (King-Rook vs. King)](http://archive.ics.uci.edu/ml/datasets/Chess+%28King-Rook+vs.+King%29)|: Chess Endgame Database for White King and Rook against Black King (KRK)
|103.|[Chess (King-Rook vs. King-Knight)](http://archive.ics.uci.edu/ml/datasets/Chess+%28King-Rook+vs.+King-Knight%29)|: Knight Pin Chess End-Game Database Creator
|104.|[Chess (King-Rook vs. King-Pawn)](http://archive.ics.uci.edu/ml/datasets/Chess+%28King-Rook+vs.+King-Pawn%29)|: King+Rook versus King+Pawn on a7 (usually abbreviated KRKPA7)
|105.|[chestnut \xe2\x80\x93 LARVIC](http://archive.ics.uci.edu/ml/datasets/chestnut+%E2%80%93+LARVIC)|: The research project presents this database, shows the images of chestnuts that will be processed to determine the presence or absence of defects
|106.|[chipseq](http://archive.ics.uci.edu/ml/datasets/chipseq)|: ChIP-seq experiments characterize protein modifications or binding at\r\nspecific genomic locations in specific samples The machine learning\r\nproblem in these data is structured binary classification
|107.|[Chronic_Kidney_Disease](http://archive.ics.uci.edu/ml/datasets/Chronic_Kidney_Disease)|: This dataset can be used to predict the chronic kidney disease and it can be collected from the hospital nearly 2 months of period
|108.|[clickstream data for online shopping](http://archive.ics.uci.edu/ml/datasets/clickstream+data+for+online+shopping)|: The dataset contains information on clickstream from online store offering clothing for pregnant women
|109.|[Climate Model Simulation Crashes](http://archive.ics.uci.edu/ml/datasets/Climate+Model+Simulation+Crashes)|: Given Latin hypercube samples of 18 climate model input parameter values, predict climate model simulation crashes and determine the parameter value combinations that cause the failures
|110.|[CLINC150](http://archive.ics.uci.edu/ml/datasets/CLINC150)|: This is a intent classification (text classification) dataset with 150 in-domain intent classes The main purpose of this dataset is to evaluate various classifiers on out-of-domain performance
|111.|[Cloud](http://archive.ics.uci.edu/ml/datasets/Cloud)|: Little Documentation
|112.|[CMU Face Images](http://archive.ics.uci.edu/ml/datasets/CMU+Face+Images)|: This data consists of 640 black and white face images of people taken with varying pose (straight, left, right, up), expression (neutral, happy, sad, angry), eyes (wearing sunglasses or not), and size
|113.|[CNAE-9](http://archive.ics.uci.edu/ml/datasets/CNAE-9)|: This is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a\r\nsubset of 9 categories
|114.|[CNNpred: CNN-based stock market prediction using a diverse set of variables](http://archive.ics.uci.edu/ml/datasets/CNNpred%3A+CNN-based+stock+market+prediction+using+a+diverse+set+of+variables)|: This dataset contains several daily features of S&P 500, NASDAQ Composite, Dow Jones Industrial Average, RUSSELL 2000, and NYSE Composite from 2010 to 2017
|115.|[Codon usage](http://archive.ics.uci.edu/ml/datasets/Codon+usage)|: DNA codon usage frequencies of a large sample of diverse biological organisms from different taxa
|116.|[Coil 1999 Competition Data](http://archive.ics.uci.edu/ml/datasets/Coil+1999+Competition+Data)|: This data set is from the 1999 Computational Intelligence and Learning (COIL) competition The data contains measurements of river chemical concentrations and algae densities
|117.|[Combined Cycle Power Plant](http://archive.ics.uci.edu/ml/datasets/Combined+Cycle+Power+Plant)|: The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to work with full load
|118.|[Communities and Crime](http://archive.ics.uci.edu/ml/datasets/Communities+and+Crime)|: Communities within the United States The data combines socio-economic data from the 1990 US Census, law enforcement data from the 1990 US LEMAS survey, and crime data from the 1995 FBI UCR
|119.|[Communities and Crime Unnormalized](http://archive.ics.uci.edu/ml/datasets/Communities+and+Crime+Unnormalized)|: Communities in the US Data combines socio-economic data from the \'90 Census, law enforcement data from the 1990 Law Enforcement Management and Admin Stats survey, and crime data from the 1995 FBI UCR
|120.|[Computer Hardware](http://archive.ics.uci.edu/ml/datasets/Computer+Hardware)|: Relative CPU Performance Data, described in terms of its cycle time, memory size, etc
|121.|[Concrete Compressive Strength](http://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength)|: Concrete is the most important material in civil engineering The concrete compressive strength is a highly nonlinear function of age and ingredients
|122.|[Concrete Slump Test](http://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test)|: Concrete is a highly complex material The slump flow of concrete is not only determined by the water content, but that is also influenced by other concrete ingredients
|123.|[Condition Based Maintenance of Naval Propulsion Plants](http://archive.ics.uci.edu/ml/datasets/Condition+Based+Maintenance+of+Naval+Propulsion+Plants)|: Data have been generated from a sophisticated simulator of a Gas Turbines (GT), mounted on a Frigate characterized by a COmbined Diesel eLectric And Gas (CODLAG) propulsion plant type
|124.|[Condition monitoring of hydraulic systems](http://archive.ics.uci.edu/ml/datasets/Condition+monitoring+of+hydraulic+systems)|: The data set addresses the condition assessment of a hydraulic test rig based on multi sensor data Four fault types are superimposed with several severity grades impeding selective quantification
|125.|[Congressional Voting Records](http://archive.ics.uci.edu/ml/datasets/Congressional+Voting+Records)|: 1984 United Stated Congressional Voting Records; Classify as Republican or Democrat
|126.|[Connect-4](http://archive.ics.uci.edu/ml/datasets/Connect-4)|: Contains connect-4 positions
|127.|[Connectionist Bench (Nettalk Corpus)](http://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+%28Nettalk+Corpus%29)|: The file "nettalkdata" contains a list of 20,008 English words, along with a phonetic transcription for each word The task is to train a network to produce the proper phonemes
|128.|[Connectionist Bench (Sonar, Mines vs. Rocks)](http://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+%28Sonar%2C+Mines+vs.+Rocks%29)|: The task is to train a network to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock
|129.|[Connectionist Bench (Vowel Recognition - Deterding Data)](http://archive.ics.uci.edu/ml/datasets/Connectionist+Bench+%28Vowel+Recognition+-+Deterding+Data%29)|: Speaker independent recognition of the eleven steady state vowels of British English using a specified training set of lpc derived log area ratios
|130.|[Container Crane Controller Data Set](http://archive.ics.uci.edu/ml/datasets/Container+Crane+Controller+Data+Set)|: A container crane has the function of transporting containers from one point to another point
|131.|[Contraceptive Method Choice](http://archive.ics.uci.edu/ml/datasets/Contraceptive+Method+Choice)|: Dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey
|132.|[Corel Image Features](http://archive.ics.uci.edu/ml/datasets/Corel+Image+Features)|: This dataset contains image features extracted from a Corel image collection Four sets of features are available based on the color histogram, color histogram layout, color moments, and co-occurence
|133.|[Covertype](http://archive.ics.uci.edu/ml/datasets/Covertype)|: Forest CoverType dataset
|134.|[COVID-19 Surveillance](http://archive.ics.uci.edu/ml/datasets/COVID-19+Surveillance)|: Coronavirus Disease (COVID-19) Surveillance
|135.|[Credit Approval](http://archive.ics.uci.edu/ml/datasets/Credit+Approval)|: This data concerns credit card applications; good mix of attributes
|136.|[Crop mapping using fused optical-radar data set](http://archive.ics.uci.edu/ml/datasets/Crop+mapping+using+fused+optical-radar+data+set)|: Combining optical and PolSAR remote sensing images offers a complementary data set with a significant number of temporal, spectral, textural, and polarimetric features for cropland classification
|137.|[Crowdsourced Mapping](http://archive.ics.uci.edu/ml/datasets/Crowdsourced+Mapping)|: Crowdsourced data from OpenStreetMap is used to automate the classification of satellite images into different land cover classes (impervious, farm, forest, grass, orchard, water)
|138.|[Cryotherapy Dataset ](http://archive.ics.uci.edu/ml/datasets/Cryotherapy+Dataset+)|: This dataset contains information about wart treatment results of 90 patients using cryotherapy
|139.|[CSM (Conventional and Social Media Movies) Dataset 2014 and 2015](http://archive.ics.uci.edu/ml/datasets/CSM+%28Conventional+and+Social+Media+Movies%29+Dataset+2014+and+2015)|: 12 features categorized as conventional and social media features Both conventional features, collected from movies databases on Web as well as social media features(YouTube,Twitter)
|140.|[Cuff-Less Blood Pressure Estimation](http://archive.ics.uci.edu/ml/datasets/Cuff-Less+Blood+Pressure+Estimation)|: This Data set provides preprocessed and cleaned vital signals which can be used in designing algorithms for cuff-less estimation of the blood pressure
|141.|[Cylinder Bands](http://archive.ics.uci.edu/ml/datasets/Cylinder+Bands)|: Used in decision tree induction for mitigating process delays known as "cylinder bands" in rotogravure printing
|142.|[Daily and Sports Activities](http://archive.ics.uci.edu/ml/datasets/Daily+and+Sports+Activities)|: The dataset comprises motion sensor data of 19 daily and sports activities each performed by 8 subjects in their own style for 5 minutes Five Xsens MTx units are used on the torso, arms, and legs\r\n
|143.|[Daily Demand Forecasting Orders](http://archive.ics.uci.edu/ml/datasets/Daily+Demand+Forecasting+Orders)|: The dataset was collected during 60 days, this is a real database of a brazilian logistics company
|144.|[Daphnet Freezing of Gait](http://archive.ics.uci.edu/ml/datasets/Daphnet+Freezing+of+Gait)|: This dataset contains the annotated readings of 3 acceleration sensors at the hip and leg of Parkinson\'s disease patients that experience freezing of gait (FoG) during walking tasks\r\n
|145.|[Data for Software Engineering Teamwork Assessment in Education Setting](http://archive.ics.uci.edu/ml/datasets/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
|146.|[Dataset for ADL Recognition with Wrist-worn Accelerometer](http://archive.ics.uci.edu/ml/datasets/Dataset+for+ADL+Recognition+with+Wrist-worn+Accelerometer)|: Recordings of 16 volunteers performing 14 Activities of Daily Living (ADL) while carrying a single wrist-worn tri-axial accelerometer
|147.|[Dataset for Sensorless Drive Diagnosis](http://archive.ics.uci.edu/ml/datasets/Dataset+for+Sensorless+Drive+Diagnosis)|: Features are extracted from motor current The motor has intact and defective components This results in 11 different classes with different conditions
|148.|[DBWorld e-mails](http://archive.ics.uci.edu/ml/datasets/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\'
|149.|[Deepfakes: Medical Image Tamper Detection](http://archive.ics.uci.edu/ml/datasets/Deepfakes%3A+Medical+Image+Tamper+Detection)|: Medical deepfakes: CT scans of human lungs, where some have been tampered with cancer added/removed Can you find them?
|150.|[default of credit card clients](http://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients)|: This research aimed at the case of customers\xe2\x80\x99 default payments in Taiwan and compares the predictive accuracy of probability of default among six data mining methods
|151.|[DeliciousMIL: A Data Set for Multi-Label Multi-Instance Learning with Instance Labels](http://archive.ics.uci.edu/ml/datasets/DeliciousMIL%3A+A+Data+Set+for+Multi-Label+Multi-Instance+Learning+with+Instance+Labels)|: This dataset includes 1) 12234 documents (8251 training, 3983 test) extracted from DeliciousT140 dataset, 2) class labels for all documents, 3) labels for a subset of sentences of the test documents
|152.|[Demand Forecasting for a store](http://archive.ics.uci.edu/ml/datasets/Demand+Forecasting+for+a+store)|: Contains data for a store from week 1 to week 146
|153.|[Demospongiae](http://archive.ics.uci.edu/ml/datasets/Demospongiae)|: Marine sponges of the Demospongiae class classification domain
|154.|[Dermatology](http://archive.ics.uci.edu/ml/datasets/Dermatology)|: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease
|155.|[Detect Malacious Executable(AntiVirus)](http://archive.ics.uci.edu/ml/datasets/Detect+Malacious+Executable%28AntiVirus%29)|: I extract features from malacious and non-malacious and create and training dataset to teach svm classifierDataset made of unknown executable to detect if it is virus or normal safe executable
|156.|[Detect Malware Types](http://archive.ics.uci.edu/ml/datasets/Detect+Malware+Types)|: Provide a short description of your data set (less than 200 characters)
|157.|[detection_of_IoT_botnet_attacks_N_BaIoT](http://archive.ics.uci.edu/ml/datasets/detection_of_IoT_botnet_attacks_N_BaIoT)|: This dataset addresses the lack of public botnet datasets, especially for the IoT It suggests *real* traffic data, gathered from 9 commercial IoT devices authentically infected by Mirai and BASHLITE
|158.|[Devanagari Handwritten Character Dataset](http://archive.ics.uci.edu/ml/datasets/Devanagari+Handwritten+Character+Dataset)|: This is an image database of Handwritten Devanagari characters There are 46 classes of characters with 2000 examples each The dataset is split into training set(85%) and testing set(15%)
|159.|[Dexter](http://archive.ics.uci.edu/ml/datasets/Dexter)|: DEXTER is a text classification problem in a bag-of-word representation This is a two-class classification problem with sparse continuous input variables This dataset is one of five datasets of the NIPS 2003 feature selection challenge\r\n
|160.|[DGP2 - The Second Data Generation Program](http://archive.ics.uci.edu/ml/datasets/DGP2+-+The+Second+Data+Generation+Program)|: Generates application domains based on specific parameters, number of features, and proportion of positive to negative examples
|161.|[Diabetes](http://archive.ics.uci.edu/ml/datasets/Diabetes)|: This diabetes dataset is from AIM \'94
|162.|[Diabetes 130-US hospitals for years 1999-2008](http://archive.ics.uci.edu/ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008)|: This data has been prepared to analyze factors related to readmission as well as other \r\n\r\noutcomes pertaining to patients with diabetes
|163.|[Diabetic Retinopathy Debrecen Data Set](http://archive.ics.uci.edu/ml/datasets/Diabetic+Retinopathy+Debrecen+Data+Set)|: This dataset contains features extracted from the Messidor image set to predict whether an image contains signs of diabetic retinopathy or not
|164.|[Discrete Tone Image Dataset](http://archive.ics.uci.edu/ml/datasets/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 \r\n
|165.|[Dishonest Internet users Dataset](http://archive.ics.uci.edu/ml/datasets/Dishonest+Internet+users+Dataset)|: The dataset was used to test an architecture based on a trust model capable to cope with the evaluation of the trustworthiness of users interacting in pervasive environments
|166.|[Divorce Predictors data set](http://archive.ics.uci.edu/ml/datasets/Divorce+Predictors+data+set)|: Participants completed the \xe2\x80\x9cPersonal Information Form\xe2\x80\x9d and \xe2\x80\x9cDivorce Predictors Scale\xe2\x80\x9d
|167.|[Divorce Predictors data set](http://archive.ics.uci.edu/ml/datasets/Divorce+Predictors+data+set)|: Participants completed the Personal Information Form and Divorce Predictors Scale
|168.|[Document Understanding](http://archive.ics.uci.edu/ml/datasets/Document+Understanding)|: Five concepts, expressed as predicates, to be learned
|169.|[Dodgers Loop Sensor](http://archive.ics.uci.edu/ml/datasets/Dodgers+Loop+Sensor)|: Loop sensor data was collected for the Glendale on ramp for the 101 North freeway in Los Angeles
|170.|[Dorothea](http://archive.ics.uci.edu/ml/datasets/Dorothea)|: DOROTHEA is a drug discovery dataset Chemical compounds represented by structural molecular features must be classified as active (binding to thrombin) or inactive This is one of 5 datasets of the NIPS 2003 feature selection challenge
|171.|[Dota2 Games Results](http://archive.ics.uci.edu/ml/datasets/Dota2+Games+Results)|: Dota 2 is a popular computer game with two teams of 5 players At the start of the game each player chooses a unique hero with different strengths and weaknesses
|172.|[Dow Jones Index](http://archive.ics.uci.edu/ml/datasets/Dow+Jones+Index)|: This dataset contains weekly data for the Dow Jones Industrial Index  It has been used in computational investing research
|173.|[Dresses_Attribute_Sales](http://archive.ics.uci.edu/ml/datasets/Dresses_Attribute_Sales)|: This dataset contain Attributes of dresses and their recommendations according to their salesSales are monitor on the basis of alternate days
|174.|[DrivFace](http://archive.ics.uci.edu/ml/datasets/DrivFace)|: The DrivFace contains images sequences of subjects while driving in real scenarios It is composed of 606 samples of 640\xc3\x97480, acquired over different days from 4 drivers with several facial features
|175.|[Drug consumption (quantified)](http://archive.ics.uci.edu/ml/datasets/Drug+consumption+%28quantified%29)|: Classify type of drug consumer by personality data
|176.|[Drug Review Dataset (Druglib.com)](http://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Druglib.com%29)|: The dataset provides patient reviews on specific drugs along with related conditions Reviews and ratings are grouped into reports on the three aspects benefits, side effects and overall comment
|177.|[Drug Review Dataset (Drugs.com)](http://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Drugs.com%29)|: The dataset provides patient reviews on specific drugs along with related conditions and a 10 star patient rating reflecting overall patient satisfaction
|178.|[Dry Bean Dataset](http://archive.ics.uci.edu/ml/datasets/Dry+Bean+Dataset)|: Images of 13,611 grains of 7 different registered dry beans were taken with a high-resolution camera A total of 16 features; 12 dimensions and 4 shape forms, were obtained from the grains
|179.|[DSRC Vehicle Communications](http://archive.ics.uci.edu/ml/datasets/DSRC+Vehicle+Communications)|: This set Provides data regarding wireless communications between vehicles and road side units two separate data sets are provided (normal scenario) and in the presence of attacker (jammer)
|180.|[Dynamic Features of VirusShare Executables](http://archive.ics.uci.edu/ml/datasets/Dynamic+Features+of+VirusShare+Executables)|: This dataset contains the dynamic features of 107,888 executables, collected by VirusShare from Nov/2010 to Jul/2014
|181.|[E. Coli Genes](http://archive.ics.uci.edu/ml/datasets/E.+Coli+Genes)|: Data giving characteristics of each ORF (potential gene) in the E coli genome Sequence, homology (similarity to other genes) and structural information, and function (if known) are provided
|182.|[Early biomarkers of Parkinson\xe2\x80\x99s disease based on natural connected speech Data Set ](http://archive.ics.uci.edu/ml/datasets/Early+biomarkers+of+Parkinson%E2%80%99s+disease+based+on+natural+connected+speech+Data+Set+)|:
|183.|[Early biomarkers of Parkinson\x92s disease based on natural connected speech](http://archive.ics.uci.edu/ml/datasets/Early+biomarkers+of+Parkinson%92s+disease+based+on+natural+connected+speech)|: Predict a pattern of neurodegeneration in the dataset of speech features obtained from patients with early untreated Parkinson\xe2\x80\x99s disease and patients at high risk developing Parkinson\xe2\x80\x99s disease
|184.|[Early stage diabetes risk prediction dataset.](http://archive.ics.uci.edu/ml/datasets/Early+stage+diabetes+risk+prediction+dataset.)|: This dataset\r\ncontains the sign and symptpom data of newly diabetic or would be diabetic patient
|185.|[EBL Domain Theories](http://archive.ics.uci.edu/ml/datasets/EBL+Domain+Theories)|: Assorted small-scale domain theories
|186.|[Echocardiogram](http://archive.ics.uci.edu/ml/datasets/Echocardiogram)|: Data for classifying if patients will survive for at least one year after a heart attack
|187.|[Eco-hotel](http://archive.ics.uci.edu/ml/datasets/Eco-hotel)|: This dataset includes Online Textual Reviews from both online (eg, TripAdvisor) and offline (eg, Guests\' book) sources from the Areias do Seixo Eco-Resort
|188.|[Ecoli](http://archive.ics.uci.edu/ml/datasets/Ecoli)|: This data contains protein localization sites
|189.|[Economic Sanctions](http://archive.ics.uci.edu/ml/datasets/Economic+Sanctions)|: Domain Theory on Economic Sanctions; Undocumented
|190.|[Educational Process Mining (EPM): A Learning Analytics Data Set](http://archive.ics.uci.edu/ml/datasets/Educational+Process+Mining+%28EPM%29%3A+A+Learning+Analytics+Data+Set)|: Educational Process Mining data set is built from the recordings of 115 subjects\' activities through a logging application while learning with an educational simulator
|191.|[EEG Database](http://archive.ics.uci.edu/ml/datasets/EEG+Database)|: This data arises from a large study to examine EEG correlates of genetic predisposition to alcoholism It contains measurements from 64 electrodes placed on the scalp sampled at 256 Hz
|192.|[EEG Eye State](http://archive.ics.uci.edu/ml/datasets/EEG+Eye+State)|: The data set consists of 14 EEG values and a value indicating the eye state
|193.|[EEG Steady-State Visual Evoked Potential Signals](http://archive.ics.uci.edu/ml/datasets/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)
|194.|[El Nino](http://archive.ics.uci.edu/ml/datasets/El+Nino)|: The data set contains oceanographic and surface meteorological readings taken from a series of buoys positioned throughout the equatorial Pacific
|195.|[Electrical Grid Stability Simulated Data ](http://archive.ics.uci.edu/ml/datasets/Electrical+Grid+Stability+Simulated+Data+)|: The local stability analysis of the 4-node star system (electricity producer is in the center) implementing Decentral Smart Grid Control concept
|196.|[ElectricityLoadDiagrams20112014](http://archive.ics.uci.edu/ml/datasets/ElectricityLoadDiagrams20112014)|: This data set contains electricity consumption of 370 points/clients\r\n
|197.|[EMG data for gestures](http://archive.ics.uci.edu/ml/datasets/EMG+data+for+gestures)|: These are files of raw EMG data recorded by MYO Thalmic bracelet
|198.|[EMG dataset in Lower Limb](http://archive.ics.uci.edu/ml/datasets/EMG+dataset+in+Lower+Limb)|: 3 different exercises: sitting, standing and walking in the muscles: biceps femoris, vastus medialis, rectus femoris and semitendinosus addition to goniometry in the exercises
|199.|[EMG Physical Action Data Set](http://archive.ics.uci.edu/ml/datasets/EMG+Physical+Action+Data+Set)|: The Physical Action Data Set includes 10 normal and 10 aggressive physical actions that measure the human activity The data have been collected by 4 subjects using the Delsys EMG wireless apparatus
|200.|[Energy efficiency](http://archive.ics.uci.edu/ml/datasets/Energy+efficiency)|: This study looked into assessing the heating load and cooling load requirements of buildings (that is, energy efficiency) as a function of building parameters
|201.|[Entree Chicago Recommendation Data](http://archive.ics.uci.edu/ml/datasets/Entree+Chicago+Recommendation+Data)|: This data contains a record of user interactions with the Entree Chicago restaurant recommendation system
|202.|[Epileptic Seizure Recognition](http://archive.ics.uci.edu/ml/datasets/Epileptic+Seizure+Recognition)|: This dataset is a pre-processed and re-structured/reshaped version of a very commonly used dataset featuring epileptic seizure detection
|203.|[Estimation of obesity levels based on eating habits and physical condition ](http://archive.ics.uci.edu/ml/datasets/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
|204.|[Exasens](http://archive.ics.uci.edu/ml/datasets/Exasens)|: This repository introduces a novel dataset for the classification of 4 groups of respiratory diseases: Chronic Obstructive Pulmonary Disease (COPD), asthma, infected, and Healthy Controls (HC)
|205.|[Exasens](http://archive.ics.uci.edu/ml/datasets/Exasens)|: This repository introduces a novel dataset for the classification of 4 groups of respiratory diseases: Chronic Obstructive Pulmonary Disease (COPD), asthma, infected, and Healthy Controls (HC)
|206.|[extention of Z-Alizadeh sani dataset](http://archive.ics.uci.edu/ml/datasets/extention+of+Z-Alizadeh+sani+dataset)|: It was collected for CAD diagnosis
|207.|[Facebook Comment Volume Dataset](http://archive.ics.uci.edu/ml/datasets/Facebook+Comment+Volume+Dataset)|: Instances in this dataset contain features extracted from facebook posts The task associated with the data is to predict how many comments the post will receive
|208.|[Facebook Large Page-Page Network](http://archive.ics.uci.edu/ml/datasets/Facebook+Large+Page-Page+Network)|: This webgraph is a page-page graph of verified Facebook sites Nodes represent official Facebook pages while the links are mutual likes between sites
|209.|[Facebook Live Sellers in Thailand](http://archive.ics.uci.edu/ml/datasets/Facebook+Live+Sellers+in+Thailand)|: Facebook pages of 10 Thai fashion and cosmetics retail sellers Posts of a different nature (video, photos, statuses, and links) Engagement metrics consist of comments, shares, and reactions
|210.|[Facebook metrics](http://archive.ics.uci.edu/ml/datasets/Facebook+metrics)|: Facebook performance metrics of a renowned cosmetic\'s brand Facebook page
|211.|[Farm Ads](http://archive.ics.uci.edu/ml/datasets/Farm+Ads)|: This data was collected from text ads found on twelve websites that deal with various farm animal related topics  The binary labels are based on whether or not the content owner approves of the ad
|212.|[Fertility](http://archive.ics.uci.edu/ml/datasets/Fertility)|: 100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits
|213.|[Firm-Teacher_Clave-Direction_Classification](http://archive.ics.uci.edu/ml/datasets/Firm-Teacher_Clave-Direction_Classification)|: The data are binary attack-point vectors and their clave-direction class(es) according to the partido-alto-based paradigm
|214.|[First-order theorem proving](http://archive.ics.uci.edu/ml/datasets/First-order+theorem+proving)|: Given a theorem, predict which of five heuristics will give the fastest proof when used by a first-order prover A sixth prediction declines to attempt a proof, should the theorem be too difficult
|215.|[Flags](http://archive.ics.uci.edu/ml/datasets/Flags)|: From Collins Gem Guide to Flags, 1986
|216.|[FMA: A Dataset For Music Analysis](http://archive.ics.uci.edu/ml/datasets/FMA%3A+A+Dataset+For+Music+Analysis)|: FMA features 106,574 tracks and includes song title, album, artist, genres; play counts, favorites, comments; description, biography, tags; together with audio (343 days, 917 GiB) and features
|217.|[Folio](http://archive.ics.uci.edu/ml/datasets/Folio)|: 20 photos of leaves for each of 32 different species
|218.|[Forest Fires](http://archive.ics.uci.edu/ml/datasets/Forest+Fires)|: This is a difficult regression task, where the aim is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data (see details at: http://wwwdsiuminhopt/~pcortez/forestfires)
|219.|[Forest type mapping](http://archive.ics.uci.edu/ml/datasets/Forest+type+mapping)|: Multi-temporal remote sensing data of a forested area in Japan The goal is to map different forest types using spectral data
|220.|[Function Finding](http://archive.ics.uci.edu/ml/datasets/Function+Finding)|: Cases collected mostly from investigations in physical science; intention is to evaluate function-finding algorithms
|221.|[Gait Classification](http://archive.ics.uci.edu/ml/datasets/Gait+Classification)|: Gait is considered a biometric criterion Therefore, we tried to classify people with gait analysis with this gait data set
|222.|[Gas Sensor Array Drift Dataset](http://archive.ics.uci.edu/ml/datasets/Gas+Sensor+Array+Drift+Dataset)|: This archive contains 13910 measurements from 16 chemical sensors utilized in simulations for drift compensation in a discrimination task of 6 gases at various levels of concentrations
|223.|[Gas Sensor Array Drift Dataset at Different Concentrations](http://archive.ics.uci.edu/ml/datasets/Gas+Sensor+Array+Drift+Dataset+at+Different+Concentrations)|: This archive contains 13910 measurements from 16 chemical sensors exposed to 6 different gases at various concentration levels
|224.|[Gas sensor array exposed to turbulent gas mixtures](http://archive.ics.uci.edu/ml/datasets/Gas+sensor+array+exposed+to+turbulent+gas+mixtures)|: A chemical detection platform composed of 8 chemoresistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel The acquired time series of the sensors are provided
|225.|[Gas sensor array temperature modulation](http://archive.ics.uci.edu/ml/datasets/Gas+sensor+array+temperature+modulation)|: A chemical detection platform composed of 14 temperature-modulated metal oxide (MOX) gas sensors was exposed during 3 weeks to mixtures of carbon monoxide and humid synthetic air in a gas chamber\r\n
|226.|[Gas sensor array under dynamic gas mixtures](http://archive.ics.uci.edu/ml/datasets/Gas+sensor+array+under+dynamic+gas+mixtures)|: The data set contains the recordings of 16 chemical sensors exposed to two dynamic gas mixtures at varying concentrations For each mixture, signals were acquired continuously during 12 hours
|227.|[Gas sensor array under flow modulation](http://archive.ics.uci.edu/ml/datasets/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
|228.|[Gas sensor arrays in open sampling settings](http://archive.ics.uci.edu/ml/datasets/Gas+sensor+arrays+in+open+sampling+settings)|: The dataset contains 18000 time-series recordings from a chemical detection platform at six different locations in a wind tunnel facility in response to ten high-priority chemical gaseous substances
|229.|[Gas sensors for home activity monitoring](http://archive.ics.uci.edu/ml/datasets/Gas+sensors+for+home+activity+monitoring)|: 100 recordings of a sensor array under different conditions in a home setting: background, wine and banana presentations The array includes 8 MOX gas sensors, and humidity and temperature sensors\r\n
|230.|[Gas Turbine CO and NOx Emission Data Set](http://archive.ics.uci.edu/ml/datasets/Gas+Turbine+CO+and+NOx+Emission+Data+Set)|: The dataset contains 36733 instances of 11 sensor measures aggregated over one hour, from a gas turbine located in Turkey for the purpose of studying flue gas emissions, namely CO and NOx
|231.|[Gastrointestinal Lesions in Regular Colonoscopy](http://archive.ics.uci.edu/ml/datasets/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
|232.|[Gender by Name](http://archive.ics.uci.edu/ml/datasets/Gender+by+Name)|: This dataset attributes first names to genders, giving counts and probabilities  It combines open-source government data from the US, UK, Canada, and Australia\r\n
|233.|[Gender Gap in Spanish WP](http://archive.ics.uci.edu/ml/datasets/Gender+Gap+in+Spanish+WP)|: Data set used to estimate the number of women editors and their editing practices in the Spanish Wikipedia
|234.|[gene expression cancer RNA-Seq](http://archive.ics.uci.edu/ml/datasets/gene+expression+cancer+RNA-Seq)|: This collection of data is part of the RNA-Seq (HiSeq) PANCAN data set, it is a random extraction of gene expressions of patients having different types of tumor: BRCA, KIRC, COAD, LUAD and PRAD
|235.|[Geo-Magnetic field and WLAN dataset for indoor localisation from wristband and smartphone](http://archive.ics.uci.edu/ml/datasets/Geo-Magnetic+field+and+WLAN+dataset+for+indoor+localisation+from+wristband+and+smartphone)|: A multisource and multivariate dataset for indoor localisation methods based on WLAN and Geo-Magnetic \xef\xac\x81eld \xef\xac\x81ngerprinting
|236.|[Geographical Original of Music](http://archive.ics.uci.edu/ml/datasets/Geographical+Original+of+Music)|: Instances in this dataset contain audio features extracted from 1059 wave files The task associated with the data is to predict the geographical origin of music\r\n
|237.|[Gesture Phase Segmentation](http://archive.ics.uci.edu/ml/datasets/Gesture+Phase+Segmentation)|: The dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation It contains 50 attributes divided into two files for each video
|238.|[Gisette](http://archive.ics.uci.edu/ml/datasets/Gisette)|: GISETTE is a handwritten digit recognition problem The problem is to separate the highly confusible digits \'4\' and \'9\' This dataset is one of five datasets of the NIPS 2003 feature selection challenge\r\n
|239.|[GitHub MUSAE](http://archive.ics.uci.edu/ml/datasets/GitHub+MUSAE)|: A social network of GitHub users with user-level attributes, connectivity data and a binary target variable
|240.|[Glass Identification](http://archive.ics.uci.edu/ml/datasets/Glass+Identification)|: From USA Forensic Science Service; 6 types of glass; defined in terms of their oxide content (ie Na, Fe, K, etc)
|241.|[GNFUV Unmanned Surface Vehicles Sensor Data](http://archive.ics.uci.edu/ml/datasets/GNFUV+Unmanned+Surface+Vehicles+Sensor+Data)|: The data-set contains four (4) sets of mobile sensor readings data (humidity, temperature) corresponding to a swarm of four (4) Unmanned Surface Vehicles (USVs) in a test-bed in Athens (Greece)
|242.|[GNFUV Unmanned Surface Vehicles Sensor Data Set 2](http://archive.ics.uci.edu/ml/datasets/GNFUV+Unmanned+Surface+Vehicles+Sensor+Data+Set+2)|: The data-set contains eight (2x4) data-sets of mobile sensor readings data (humidity, temperature) corresponding to a swarm of four Unmanned Surface Vehicles (USVs) in a test-bed, Athens, Greece
|243.|[GPS Trajectories](http://archive.ics.uci.edu/ml/datasets/GPS+Trajectories)|: The dataset has been feed by Android app called Go!Track It is available at Goolge Play Store(https://playgooglecom/store/apps/details?id=comgorouter)
|244.|[Grammatical Facial Expressions](http://archive.ics.uci.edu/ml/datasets/Grammatical+Facial+Expressions)|: This dataset supports the development of models that make possible to interpret Grammatical Facial Expressions from Brazilian Sign Language (Libras)
|245.|[Greenhouse Gas Observing Network](http://archive.ics.uci.edu/ml/datasets/Greenhouse+Gas+Observing+Network)|: Design an observing network to monitor emissions of a greenhouse gas (GHG) in California given time series of synthetic observations and tracers from weather model simulations\r\n
|246.|[Guitar Chords finger positions](http://archive.ics.uci.edu/ml/datasets/Guitar+Chords+finger+positions)|: Position of the fingers for 2633 guitar chords in standard tuning (double checked with software)
|247.|[Haberman\'s Survival](http://archive.ics.uci.edu/ml/datasets/Haberman%27s+Survival)|: Dataset contains cases from study conducted on the survival of patients who had undergone surgery for breast cancer
|248.|[Hayes-Roth](http://archive.ics.uci.edu/ml/datasets/Hayes-Roth)|: Topic: human subjects study
|249.|[HCC Survival](http://archive.ics.uci.edu/ml/datasets/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
|250.|[HCV data](http://archive.ics.uci.edu/ml/datasets/HCV+data)|: The data set contains laboratory values of blood donors and Hepatitis C patients and demographic values like age
|251.|[Health News in Twitter](http://archive.ics.uci.edu/ml/datasets/Health+News+in+Twitter)|: The data was collected in 2015 using Twitter API This dataset contains health news from more than 15 major health news agencies such as BBC, CNN, and NYT
|252.|[Heart Disease](http://archive.ics.uci.edu/ml/datasets/Heart+Disease)|: 4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beach
|253.|[Heart failure clinical records](http://archive.ics.uci.edu/ml/datasets/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
|254.|[Hepatitis](http://archive.ics.uci.edu/ml/datasets/Hepatitis)|: From GGong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney)
|255.|[Hepatitis C Virus (HCV) for Egyptian patients](http://archive.ics.uci.edu/ml/datasets/Hepatitis+C+Virus+%28HCV%29+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
|256.|[HEPMASS](http://archive.ics.uci.edu/ml/datasets/HEPMASS)|: The search for exotic particles requires sorting through a large number of collisions to find the events of interest This data set challenges one to detect a new particle of unknown mass
|257.|[Heterogeneity Activity Recognition](http://archive.ics.uci.edu/ml/datasets/Heterogeneity+Activity+Recognition)|: The Heterogeneity Human Activity Recognition (HHAR) dataset from Smartphones and Smartwatches is a dataset devised to benchmark human activity recognition algorithms (classification, automatic data segmentation, sensor fusion, feature extraction, etc) in real-world contexts; specifically, the dataset is gathered with a variety of different device models and use-scenarios, in order to reflect sensing heterogeneities to be expected in real deployments
|258.|[HIGGS](http://archive.ics.uci.edu/ml/datasets/HIGGS)|: This is a classification problem to distinguish between a signal process which produces Higgs bosons and a background process which does not
|259.|[Higher Education Students Performance Evaluation Dataset](http://archive.ics.uci.edu/ml/datasets/Higher+Education+Students+Performance+Evaluation+Dataset)|: The data was collected from the Faculty of Engineering and Faculty of Educational Sciences students in 2019 The purpose is to predict students\' end-of-term performances using ML techniques
|260.|[Hill-Valley](http://archive.ics.uci.edu/ml/datasets/Hill-Valley)|: Each record represents 100 points on a two-dimensional graph When plotted in order (from 1 through 100) as the Y co-ordinate, the points will create either a Hill (a \x93bump\x94 in the terrain) or a Valley (a \x93dip\x94 in the terrain)
|261.|[HIV-1 protease cleavage](http://archive.ics.uci.edu/ml/datasets/HIV-1+protease+cleavage)|: The data contains lists of octamers (8 amino acids) and a flag (-1 or 1) depending on whether HIV-1 protease will cleave in the central position (between amino acids 4 and 5)
|262.|[Horse Colic](http://archive.ics.uci.edu/ml/datasets/Horse+Colic)|: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values
|263.|[Horton General Hospital](http://archive.ics.uci.edu/ml/datasets/Horton+General+Hospital)|: Horton General Hospital is in the town Banbury not far from Oxford, UK
|264.|[HTRU2](http://archive.ics.uci.edu/ml/datasets/HTRU2)|: Pulsar candidates collected during the HTRU survey Pulsars are a type of star, of considerable scientific interest Candidates must be classified in to pulsar and non-pulsar classes to aid discovery
|265.|[Human Activity Recognition from Continuous Ambient Sensor Data](http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+from+Continuous+Ambient+Sensor+Data)|: This dataset represents ambient data collected in homes with volunteer residents  Data are collected continuously while residents perform their normal routines
|266.|[Human Activity Recognition Using Smartphones](http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones)|: Human Activity Recognition database built from the recordings of 30 subjects performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors
|267.|[Hungarian Chickenpox Cases](http://archive.ics.uci.edu/ml/datasets/Hungarian+Chickenpox+Cases)|: A spatio-temporal dataset of weekly chickenpox cases from Hungary The dataset consists of a county-level adjacency matrix and time series of the county-level reported cases between 2005 and 2015
|268.|[Hybrid Indoor Positioning Dataset from WiFi RSSI, Bluetooth and magnetometer](http://archive.ics.uci.edu/ml/datasets/Hybrid+Indoor+Positioning+Dataset+from+WiFi+RSSI%2C+Bluetooth+and+magnetometer)|: The dataset was created for the comparison and evaluation of hybrid indoor positioning methods The dataset presented contains data from W-LAN and Bluetooth interfaces, and Magnetometer
|269.|[ICMLA 2014 Accepted Papers Data Set](http://archive.ics.uci.edu/ml/datasets/ICMLA+2014+Accepted+Papers+Data+Set)|: This data set compromises the metadata for the 2014 ICMLA conference\'s accepted papers, including ID, paper titles, author\'s keywords, abstracts and sessions in which they were exposed
|270.|[ICU](http://archive.ics.uci.edu/ml/datasets/ICU)|: Data set prepared for the use of participants for the 1994 AAAI Spring Symposium on Artificial Intelligence in Medicine
|271.|[IDA2016Challenge](http://archive.ics.uci.edu/ml/datasets/IDA2016Challenge)|: The dataset consists of data collected from heavy Scania trucks in everyday usage
|272.|[IIWA14-R820-Gazebo-Dataset-10Trajectories](http://archive.ics.uci.edu/ml/datasets/IIWA14-R820-Gazebo-Dataset-10Trajectories)|: This dataset contain 10 Trajectories of IIWA14-R820 Gazebo robot model Based in paper \'Improving the Inverse Dynamics Model of the KUKA LWR IV+ using Independent Joint Learning\' of Shareef (2016)
|273.|[ILPD (Indian Liver Patient Dataset)](http://archive.ics.uci.edu/ml/datasets/ILPD+%28Indian+Liver+Patient+Dataset%29)|: This data set contains 10 variables that are age, gender, total Bilirubin, direct Bilirubin, total proteins, albumin, A/G ratio, SGPT, SGOT and Alkphos
|274.|[Image Recognition Task Execution Times in Mobile Edge Computing](http://archive.ics.uci.edu/ml/datasets/Image+Recognition+Task+Execution+Times+in+Mobile+Edge+Computing)|: Recorded task execution times for four Edge Servers submitted by edge node; node sends images to servers for image recognition tasks The servers perform the tasks and return the results to nodes
|275.|[Image Recognition Task Execution Times in Mobile Edge Computing](http://archive.ics.uci.edu/ml/datasets/Image+Recognition+Task+Execution+Times+in+Mobile+Edge+Computing)|: This file contains four (4) datasets of the execution times for image recognition tasks executed in different edge computing servers
|276.|[Image Segmentation](http://archive.ics.uci.edu/ml/datasets/Image+Segmentation)|: Image data described by high-level numeric-valued attributes, 7 classes
|277.|[Immunotherapy Dataset](http://archive.ics.uci.edu/ml/datasets/Immunotherapy+Dataset)|: This dataset contains information about wart treatment results of 90 patients using immunotherapy
|278.|[Improved Spiral Test Using Digitized Graphics Tablet for Monitoring Parkinson\xe2\x80\x99s Disease](http://archive.ics.uci.edu/ml/datasets/Improved+Spiral+Test+Using+Digitized+Graphics+Tablet+for+Monitoring+Parkinson%E2%80%99s+Disease)|: Handwriting database consists of 25 PWP(People with Parkinson) and 15 healthy individualsThree types of recordings (Static Spiral Test, Dynamic Spiral Test and Stability Test) are taken
|279.|[in-vehicle coupon recommendation](http://archive.ics.uci.edu/ml/datasets/in-vehicle+coupon+recommendation)|: This data studies whether a person will accept the coupon recommended to him in different driving scenarios
|280.|[Incident management process enriched event log](http://archive.ics.uci.edu/ml/datasets/Incident+management+process+enriched+event+log)|: This event log was extracted from data gathered from the audit system of an instance of the ServiceNow platform used by an IT company and enriched with data loaded from a relational database
|281.|[Individual household electric power consumption](http://archive.ics.uci.edu/ml/datasets/Individual+household+electric+power+consumption)|: Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years Different electrical quantities and some sub-metering values are available
|282.|[Indoor User Movement Prediction from RSS data](http://archive.ics.uci.edu/ml/datasets/Indoor+User+Movement+Prediction+from+RSS+data)|: This dataset contains temporal data from a Wireless Sensor Network deployed in real-world office environments The task is intended as real-life benchmark in the area of Ambient Assisted Living
|283.|[Influenza outbreak event prediction via Twitter data](http://archive.ics.uci.edu/ml/datasets/Influenza+outbreak+event+prediction+via+Twitter+data)|: By identifying influenza-related tweets, the goal is to forecast the spatiotemporal patterns of influenza outbreaks for different locations and dates
|284.|[Insurance Company Benchmark (COIL 2000)](http://archive.ics.uci.edu/ml/datasets/Insurance+Company+Benchmark+%28COIL+2000%29)|: This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company The data consists of 86 variables and includes product usage data and socio-demographic data
|285.|[Intelligent Media Accelerometer and Gyroscope (IM-AccGyro) Dataset](http://archive.ics.uci.edu/ml/datasets/Intelligent+Media+Accelerometer+and+Gyroscope+%28IM-AccGyro%29+Dataset)|: The IM-AccGyro dataset is devised to benchmark techniques dealing with human activity recognition based on inertial sensors \r\n\t
|286.|[Internet Advertisements](http://archive.ics.uci.edu/ml/datasets/Internet+Advertisements)|: This dataset represents a set of possible advertisements on Internet pages
|287.|[Internet Firewall Data](http://archive.ics.uci.edu/ml/datasets/Internet+Firewall+Data)|: this data set was collected from the internet traffic records on a university\'s firewall
|288.|[Internet Usage Data](http://archive.ics.uci.edu/ml/datasets/Internet+Usage+Data)|: This data contains general demographic information on internet users in 1997
|289.|[Ionosphere](http://archive.ics.uci.edu/ml/datasets/Ionosphere)|: Classification of radar returns from the ionosphere
|290.|[IPUMS Census Database](http://archive.ics.uci.edu/ml/datasets/IPUMS+Census+Database)|: This data set contains unweighted PUMS census data from the Los Angeles and Long Beach areas for the years 1970, 1980, and 1990
|291.|[Iranian Churn Dataset](http://archive.ics.uci.edu/ml/datasets/Iranian+Churn+Dataset)|: This dataset is randomly collected from an Iranian telecom company\xe2\x80\x99s database over a period of 12 months
|292.|[Iranian Churn Dataset](http://archive.ics.uci.edu/ml/datasets/Iranian+Churn+Dataset)|: This dataset is randomly collected from an Iranian telecom company\xe2\x80\x99s database over a period of 12 months
|293.|[Iris](http://archive.ics.uci.edu/ml/datasets/Iris)|: Famous database; from Fisher, 1936
|294.|[ISOLET](http://archive.ics.uci.edu/ml/datasets/ISOLET)|:  Goal: Predict which letter-name was spoken--a simple classification task
|295.|[ISTANBUL STOCK EXCHANGE](http://archive.ics.uci.edu/ml/datasets/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
|296.|[Japanese Credit Screening](http://archive.ics.uci.edu/ml/datasets/Japanese+Credit+Screening)|: Includes domain theory (generated by talking to Japanese domain experts); data in Lisp
|297.|[Japanese Vowels](http://archive.ics.uci.edu/ml/datasets/Japanese+Vowels)|: This dataset records 640 time series of 12 LPC cepstrum coefficients taken from nine male speakers
|298.|[Kain Tradisional Sambas](http://archive.ics.uci.edu/ml/datasets/Kain+Tradisional+Sambas)|: This data set consist of 5 patterns of Kain Tradisional Sambas\'s features from CFS (Correlation-Based Feature Selection) method which are Angular Second Moment, Contrast, and Correlation
|299.|[KASANDR](http://archive.ics.uci.edu/ml/datasets/KASANDR)|: KASANDR is a novel, publicly available collection for recommendation systems that records the behavior of customers of the European leader in e-Commerce advertising, Kelkoo
|300.|[KDC-4007 dataset Collection](http://archive.ics.uci.edu/ml/datasets/KDC-4007+dataset+Collection)|: KDC-4007 dataset Collection is the Kurdish Documents Classification text used in categories regarding Kurdish Sorani news and articles
|301.|[KDD Cup 1998 Data](http://archive.ics.uci.edu/ml/datasets/KDD+Cup+1998+Data)|: This is the data set used for The Second International Knowledge Discovery and Data Mining Tools Competition, which was held in conjunction with KDD-98
|302.|[KDD Cup 1999 Data](http://archive.ics.uci.edu/ml/datasets/KDD+Cup+1999+Data)|: This is the data set used for The Third International Knowledge Discovery and Data Mining Tools Competition, which was held in conjunction with KDD-99
|303.|[KEGG Metabolic Reaction Network (Undirected)](http://archive.ics.uci.edu/ml/datasets/KEGG+Metabolic+Reaction+Network+%28Undirected%29)|: KEGG Metabolic pathways modeled as un-directed reaction network Variety of graphical features presented
|304.|[KEGG Metabolic Relation Network (Directed)](http://archive.ics.uci.edu/ml/datasets/KEGG+Metabolic+Relation+Network+%28Directed%29)|: KEGG Metabolic pathways modeled as directed relation network Variety of graphical features presented
|305.|[Kinship](http://archive.ics.uci.edu/ml/datasets/Kinship)|: Relational dataset
|306.|[Kitsune Network Attack Dataset](http://archive.ics.uci.edu/ml/datasets/Kitsune+Network+Attack+Dataset)|: A cybersecurity dataset containing nine different network attacks on a commercial IP-based surveillance system and an IoT network The dataset includes reconnaissance, MitM, DoS, and botnet attacks
|307.|[Lab Test](http://archive.ics.uci.edu/ml/datasets/Lab+Test)|: This data set consists of ALT, AST, urea, glucose, and creatine kinase laboratory values of the patients Creatine Kinase values have been converted according to general reference values
|308.|[Labeled Text Forum Threads Dataset](http://archive.ics.uci.edu/ml/datasets/Labeled+Text+Forum+Threads+Dataset)|: The dataset is a collection of text forum threads with class labels reflects the reply quality to the Initial-Post, 3 for complete relevant, 2 for partially relevant, and 1 for irrelevant
|309.|[Labor Relations](http://archive.ics.uci.edu/ml/datasets/Labor+Relations)|: From Collective Bargaining Review
|310.|[Las Vegas Strip](http://archive.ics.uci.edu/ml/datasets/Las+Vegas+Strip)|: This dataset includes quantitative and categorical features from online reviews from 21 hotels located in Las Vegas Strip, extracted from TripAdvisor (http://wwwtripadvisorcom)
|311.|[LastFM Asia Social Network](http://archive.ics.uci.edu/ml/datasets/LastFM+Asia+Social+Network)|: A social network of LastFM users from Asian countries The related task is predicting the country of origin based on social relations and artists liked
|312.|[LastFM Asia Social Network](http://archive.ics.uci.edu/ml/datasets/LastFM+Asia+Social+Network)|: A social network of LastFM users which was collected from the public API in March 2020
|313.|[Leaf](http://archive.ics.uci.edu/ml/datasets/Leaf)|: This dataset consists in a collection of shape and texture features extracted from digital images of leaf specimens originating from a total of 40 different plant species
|314.|[LED Display Domain](http://archive.ics.uci.edu/ml/datasets/LED+Display+Domain)|: From Classification and Regression Trees book; We provide here 2 C programs for generating sample databases
|315.|[Legal Case Reports](http://archive.ics.uci.edu/ml/datasets/Legal+Case+Reports)|: A textual corpus of 4000 legal cases for automatic summarization and citation analysis For each document we collect catchphrases, citations sentences, citation catchphrases and citation classes
|316.|[Lenses](http://archive.ics.uci.edu/ml/datasets/Lenses)|: Database for fitting contact lenses
|317.|[Letter Recognition](http://archive.ics.uci.edu/ml/datasets/Letter+Recognition)|: Database of character image features; try to identify the letter
|318.|[Libras Movement](http://archive.ics.uci.edu/ml/datasets/Libras+Movement)|: The data set contains 15 classes of 24 instances each Each class references to a hand movement type in LIBRAS (Portuguese\r\nname \'L\xcdngua BRAsileira de Sinais\', oficial brazilian signal language)
|319.|[Liver Disorders](http://archive.ics.uci.edu/ml/datasets/Liver+Disorders)|: BUPA Medical Research Ltd database donated by Richard S Forsyth
|320.|[Localization Data for Person Activity](http://archive.ics.uci.edu/ml/datasets/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
|321.|[Logic Theorist](http://archive.ics.uci.edu/ml/datasets/Logic+Theorist)|: All code for Logic Theorist
|322.|[Low Resolution Spectrometer](http://archive.ics.uci.edu/ml/datasets/Low+Resolution+Spectrometer)|: From IRAS data -- NASA Ames Research Center
|323.|[LSVT Voice Rehabilitation](http://archive.ics.uci.edu/ml/datasets/LSVT+Voice+Rehabilitation)|: 126 samples from 14 participants, 309 features Aim: assess whether voice rehabilitation treatment lead to phonations considered \'acceptable\' or \'unacceptable\' (binary class classification problem)
|324.|[Lung Cancer](http://archive.ics.uci.edu/ml/datasets/Lung+Cancer)|: Lung cancer data; no attribute definitions
|325.|[Lymphography](http://archive.ics.uci.edu/ml/datasets/Lymphography)|: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia  (Restricted access)
|326.|[M. Tuberculosis Genes](http://archive.ics.uci.edu/ml/datasets/M.+Tuberculosis+Genes)|:  Data giving characteristics of each ORF (potential gene) in the M tuberculosis bacterium Sequence, homology (similarity to other genes) and structural information, and function (if known) are provided
|327.|[Machine Learning based ZZAlpha Ltd. Stock Recommendations 2012-2014](http://archive.ics.uci.edu/ml/datasets/Machine+Learning+based+ZZAlpha+Ltd.+Stock+Recommendations+2012-2014)|: The data here are the ZZAlpha\xc2\xae machine learning recommendations made for various US traded stock portfolios the morning of each day during the 3 year period Jan 1, 2012 - Dec 31, 2014  
|328.|[Madelon](http://archive.ics.uci.edu/ml/datasets/Madelon)|: MADELON is an artificial dataset, which was part of the NIPS 2003 feature selection challenge This is a two-class classification problem with continuous input variables The difficulty is that the problem is multivariate and highly non-linear
|329.|[MAGIC Gamma Telescope](http://archive.ics.uci.edu/ml/datasets/MAGIC+Gamma+Telescope)|: Data are MC generated to simulate registration of high energy gamma particles in an atmospheric Cherenkov telescope
|330.|[Malware static and dynamic features VxHeaven and Virus Total](http://archive.ics.uci.edu/ml/datasets/Malware+static+and+dynamic+features+VxHeaven+and+Virus+Total)|: 3 datasets: staDynBenignLabcsv, features extracted from 595 files (Win 7 and 8); staDynVxHeaven2698Labcsv, from 2698 files of VxHeaven and staDynVt2955Labcsv,from 2955 files of Virus Total
|331.|[Mammographic Mass](http://archive.ics.uci.edu/ml/datasets/Mammographic+Mass)|: Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient\'s age
|332.|[Maternal Health Risk Data Set](http://archive.ics.uci.edu/ml/datasets/Maternal+Health+Risk+Data+Set)|: Data has been collected from different hospitals, community clinics, maternal health cares from the rural areas of Bangladesh through the IoT based risk monitoring system
|333.|[Mechanical Analysis](http://archive.ics.uci.edu/ml/datasets/Mechanical+Analysis)|: Fault diagnosis problem of electromechanical devices; also PUMPS DATA SET is newer version with domain theory and results
|334.|[Mesothelioma\xe2\x80\x99s disease data set ](http://archive.ics.uci.edu/ml/datasets/Mesothelioma%E2%80%99s+disease+data+set+)|: Mesothelioma\xe2\x80\x99s disease data set were prepared at Dicle University Faculty of Medicine in Turkey\r\nThree hundred and twenty-four Mesothelioma patient data In the dataset, all samples have 34 features
|335.|[Meta-data](http://archive.ics.uci.edu/ml/datasets/Meta-data)|: Meta-Data was used in order to give advice about which classification method is appropriate for a particular dataset (taken from results of Statlog project)
|336.|[Metro Interstate Traffic Volume](http://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume)|: Hourly Minneapolis-St Paul, MN traffic volume for westbound I-94 Includes weather and holiday features from 2012-2018
|337.|[MEU-Mobile KSD](http://archive.ics.uci.edu/ml/datasets/MEU-Mobile+KSD)|: This dataset contains keystroke dynamics data collected on a touch mobile device (Nexus 7) The dataset contains 2856 records, 51 records per subject for 56 subjects
|338.|[MEx](http://archive.ics.uci.edu/ml/datasets/MEx)|: The MEx Multi-modal Exercise dataset contains data of 7 different\r\nphysiotherapy exercises, performed by 30 subjects recorded with 2 accelerometers,\r\na pressure mat and a depth camera
|339.|[MHEALTH Dataset](http://archive.ics.uci.edu/ml/datasets/MHEALTH+Dataset)|: The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sensing
|340.|[Mice Protein Expression](http://archive.ics.uci.edu/ml/datasets/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
|341.|[microblogPCU](http://archive.ics.uci.edu/ml/datasets/microblogPCU)|: MicroblogPCU data is crawled from sina weibo microblog[http://weibocom/] This data can be used to study machine learning methods  as well as do some social network research
|342.|[MicroMass](http://archive.ics.uci.edu/ml/datasets/MicroMass)|: A dataset to explore machine learning approaches for the identification of microorganisms from mass-spectrometry data
|343.|[MiniBooNE particle identification](http://archive.ics.uci.edu/ml/datasets/MiniBooNE+particle+identification)|: This dataset is taken from the MiniBooNE experiment and is used to distinguish electron neutrinos (signal) from muon neutrinos (background)
|344.|[Miskolc IIS Hybrid IPS](http://archive.ics.uci.edu/ml/datasets/Miskolc+IIS+Hybrid+IPS)|: The dataset was created for the comparison and evaluation of hybrid indoor positioning methods The dataset presented contains data from W-LAN and Bluetooth interfaces, and Magnetometer
|345.|[Mobile Robots](http://archive.ics.uci.edu/ml/datasets/Mobile+Robots)|: Learning concepts from sensor data of a mobile robot; set of data sets
|346.|[MoCap Hand Postures](http://archive.ics.uci.edu/ml/datasets/MoCap+Hand+Postures)|: 5 types of hand postures from 12 users were recorded using unlabeled markers attached to fingers of a glove in a motion capture environment Due to resolution and occlusion, missing values are common
|347.|[Molecular Biology (Promoter Gene Sequences)](http://archive.ics.uci.edu/ml/datasets/Molecular+Biology+%28Promoter+Gene+Sequences%29)|: E Coli promoter gene sequences (DNA) with partial domain theory
|348.|[Molecular Biology (Protein Secondary Structure)](http://archive.ics.uci.edu/ml/datasets/Molecular+Biology+%28Protein+Secondary+Structure%29)|: From CMU connectionist bench repository; Classifies secondary structure of certain globular proteins
|349.|[Molecular Biology (Splice-junction Gene Sequences)](http://archive.ics.uci.edu/ml/datasets/Molecular+Biology+%28Splice-junction+Gene+Sequences%29)|: Primate splice-junction gene sequences (DNA) with associated imperfect domain theory
|350.|[MONK\'s Problems](http://archive.ics.uci.edu/ml/datasets/MONK%27s+Problems)|: A set of three artificial domains over the same attribute space; Used to test a wide range of induction algorithms
|351.|[Monolithic Columns in Troad and Mysia Region](http://archive.ics.uci.edu/ml/datasets/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
|352.|[Monolithic Columns in Troad and Mysia Region](http://archive.ics.uci.edu/ml/datasets/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
|353.|[Moral Reasoner](http://archive.ics.uci.edu/ml/datasets/Moral+Reasoner)|: Horn-clause model that qualitatively simulates moral reasoning; Theory includes negated literals
|354.|[Motion Capture Hand Postures](http://archive.ics.uci.edu/ml/datasets/Motion+Capture+Hand+Postures)|: 5 types of hand postures from 12 users were recorded using unlabeled markers on fingers of a glove in a motion capture environment Due to resolution and occlusion, missing values are common
|355.|[Movie](http://archive.ics.uci.edu/ml/datasets/Movie)|: This data set contains a list of over 10000 films including many older, odd, and cult films There is information on actors, casts, directors, producers, studios, etc
|356.|[MSNBC.com Anonymous Web Data](http://archive.ics.uci.edu/ml/datasets/MSNBC.com+Anonymous+Web+Data)|: This data describes the page visits of users who visited msnbccom on September 28, 1999 Visits are recorded at the level of URL category (see description) and are recorded in time order
|357.|[Mturk User-Perceived Clusters over Images](http://archive.ics.uci.edu/ml/datasets/Mturk+User-Perceived+Clusters+over+Images)|: This dataset was collected by Shan-Hung Wu and DataLab members at NTHU, Taiwan There\'re 325 user-perceived clusters from 100 users and their corresponding descriptions
|358.|[Multi-view Brain Networks](http://archive.ics.uci.edu/ml/datasets/Multi-view+Brain+Networks)|: Multi-layer brain network datasets derived from the resting-state electroencephalography (EEG) data
|359.|[Multimodal Damage Identification for Humanitarian Computing](http://archive.ics.uci.edu/ml/datasets/Multimodal+Damage+Identification+for+Humanitarian+Computing)|: 5879 captioned images (image and text) from social media related to damage during natural disasters/wars, and belong to 6 classes: Fires, Floods, Natural landscape, Infrastructural, Human, Non-damage
|360.|[Multiple Features](http://archive.ics.uci.edu/ml/datasets/Multiple+Features)|: This dataset consists of features of handwritten numerals (`0\'--`9\') extracted from a collection of Dutch utility maps
|361.|[Mushroom](http://archive.ics.uci.edu/ml/datasets/Mushroom)|: From Audobon Society Field Guide; mushrooms described in terms of physical characteristics; classification: poisonous or edible
|362.|[Musk (Version 1)](http://archive.ics.uci.edu/ml/datasets/Musk+%28Version+1%29)|: The goal is to learn to predict whether new molecules will be musks or non-musks
|363.|[Musk (Version 2)](http://archive.ics.uci.edu/ml/datasets/Musk+%28Version+2%29)|: The goal is to learn to predict whether new molecules will be musks or non-musks
|364.|[Myocardial infarction complications](http://archive.ics.uci.edu/ml/datasets/Myocardial+infarction+complications)|: Prediction of myocardial infarction complications
|365.|[Nasarian CAD Dataset](http://archive.ics.uci.edu/ml/datasets/Nasarian+CAD+Dataset)|: This dataset comprises records of 150 subjects (all male employees in Iran have visited the Abadan Occupational (Industrial) Medicine Clinic) and 52 features
|366.|[News Aggregator](http://archive.ics.uci.edu/ml/datasets/News+Aggregator)|: References to news pages collected from an web aggregator in the period from 10-March-2014 to 10-August-2014 The resources are grouped into clusters that represent pages discussing the same story
|367.|[News Popularity in Multiple Social Media Platforms](http://archive.ics.uci.edu/ml/datasets/News+Popularity+in+Multiple+Social+Media+Platforms)|: Large data set of news items and their respective social feedback on multiple platforms: Facebook, Google+ and LinkedIn
|368.|[Newspaper and magazine images segmentation dataset](http://archive.ics.uci.edu/ml/datasets/Newspaper+and+magazine+images+segmentation+dataset)|: Dataset is well suited for segmentation tasks It contains 101 scanned pages from different newspapers and magazines in Russian with ground truth pixel-based masks
|369.|[NIPS Conference Papers 1987-2015](http://archive.ics.uci.edu/ml/datasets/NIPS+Conference+Papers+1987-2015)|: This data set contains the distribution of words in the full text of the NIPS conference papers published from 1987 to 2015
|370.|[NoisyOffice](http://archive.ics.uci.edu/ml/datasets/NoisyOffice)|: Corpus intended to do cleaning (or binarization) and enhancement of noisy grayscale printed text images using supervised learning methods Noisy images and their corresponding ground truth provided
|371.|[Nomao](http://archive.ics.uci.edu/ml/datasets/Nomao)|: Nomao collects data about places (name, phone, localization) from many sources\r\nDeduplication consists in detecting what data refer to the same place\r\nInstances in the dataset compare 2 spots
|372.|[Non verbal tourists data](http://archive.ics.uci.edu/ml/datasets/Non+verbal+tourists+data)|: This dataset contains the information about non-verbal preferences of tourists
|373.|[Northix](http://archive.ics.uci.edu/ml/datasets/Northix)|: Northix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases
|374.|[NSF Research Award Abstracts 1990-2003](http://archive.ics.uci.edu/ml/datasets/NSF+Research+Award+Abstracts+1990-2003)|: This data set consists of (a) 129,000 abstracts describing NSF awards for basic research, (b) bag-of-word data files extracted from the abstracts, (c) a list of words used for indexing the bag-of-word
|375.|[Nursery](http://archive.ics.uci.edu/ml/datasets/Nursery)|:  Nursery Database was derived from a hierarchical decision model originally developed to rank applications for nursery schools
|376.|[NYSK](http://archive.ics.uci.edu/ml/datasets/NYSK)|: NYSK (New York v Strauss-Kahn) is a collection of English news articles about the case relating to allegations of sexual assault against the former IMF director Dominique Strauss-Kahn (May 2011)
|377.|[Occupancy Detection ](http://archive.ics.uci.edu/ml/datasets/Occupancy+Detection+)|: Experimental data used for binary classification (room occupancy) from Temperature,Humidity,Light and CO2 Ground-truth occupancy was obtained from time stamped pictures that were taken every minute
|378.|[OCT data & Color Fundus Images of Left & Right Eyes](http://archive.ics.uci.edu/ml/datasets/OCT+data+%26+Color+Fundus+Images+of+Left+%26+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
|379.|[One-hundred plant species leaves data set](http://archive.ics.uci.edu/ml/datasets/One-hundred+plant+species+leaves+data+set)|: Sixteen samples of leaf each of one-hundred plant species For each sample, a shape descriptor, fine scale margin and texture histogram are given
|380.|[Online Handwritten Assamese Characters Dataset](http://archive.ics.uci.edu/ml/datasets/Online+Handwritten+Assamese+Characters+Dataset)|: This is a dataset of 8235 online handwritten assamese characters The \xe2\x80\x9conline\xe2\x80\x9d process involves capturing of data as text is written on a digitizing tablet with an electronic pen
|381.|[Online News Popularity](http://archive.ics.uci.edu/ml/datasets/Online+News+Popularity)|: This dataset summarizes a heterogeneous set of features about articles published by Mashable in a period of two years The goal is to predict the number of shares in social networks (popularity)
|382.|[Online Retail](http://archive.ics.uci.edu/ml/datasets/Online+Retail)|: This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail
|383.|[Online Retail II](http://archive.ics.uci.edu/ml/datasets/Online+Retail+II)|: A real online retail transaction data set of two years
|384.|[Online Shoppers Purchasing Intention Dataset](http://archive.ics.uci.edu/ml/datasets/Online+Shoppers+Purchasing+Intention+Dataset)|: Of the 12,330 sessions in the dataset,\r\n845% (10,422) were negative class samples that did not\r\nend with shopping, and the rest (1908) were positive class\r\nsamples ending with shopping
|385.|[Online Video Characteristics and Transcoding Time Dataset](http://archive.ics.uci.edu/ml/datasets/Online+Video+Characteristics+and+Transcoding+Time+Dataset)|: The dataset contains a million randomly sampled video instances listing 10 fundamental video characteristics along with the YouTube video ID
|386.|[Open University Learning Analytics dataset](http://archive.ics.uci.edu/ml/datasets/Open+University+Learning+Analytics+dataset)|: Open University Learning Analytics Dataset contains data about courses, students and their interactions with Virtual Learning Environment for seven selected courses and more than 30000 students
|387.|[Opinion Corpus for Lebanese Arabic Reviews (OCLAR)](http://archive.ics.uci.edu/ml/datasets/Opinion+Corpus+for+Lebanese+Arabic+Reviews+%28OCLAR%29)|: Opinion Corpus for Lebanese Arabic Reviews (OCLAR) corpus is utilizable for Arabic sentiment classification on services\xe2\x80\x99 reviews, including hotels, restaurants, shops, and others
|388.|[Opinosis Opinion &frasl; Review](http://archive.ics.uci.edu/ml/datasets/Opinosis+Opinion+%26frasl%3B+Review)|: This dataset contains sentences extracted from user reviews on a given topic Example topics are \xe2\x80\x9cperformance of Toyota Camry\xe2\x80\x9d and \xe2\x80\x9csound quality of ipod nano\xe2\x80\x9d
|389.|[OpinRank Review Dataset](http://archive.ics.uci.edu/ml/datasets/OpinRank+Review+Dataset)|: This data set contains user reviews of cars and and hotels collected from Tripadvisor (~259,000 \r\nreviews) and Edmunds (~42,230 reviews)   
|390.|[OPPORTUNITY Activity Recognition](http://archive.ics.uci.edu/ml/datasets/OPPORTUNITY+Activity+Recognition)|: The OPPORTUNITY Dataset for Human Activity Recognition from Wearable, Object, and Ambient Sensors is a dataset devised to benchmark human activity recognition algorithms (classification, automatic data segmentation, sensor fusion, feature extraction, etc)
|391.|[Optical Interconnection Network ](http://archive.ics.uci.edu/ml/datasets/Optical+Interconnection+Network+)|: This dataset contains 640 performance measurements from a simulation of 2-Dimensional Multiprocessor Optical Interconnection Network
|392.|[Optical Recognition of Handwritten Digits](http://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits)|: Two versions of this database available; see folder
|393.|[Othello Domain Theory](http://archive.ics.uci.edu/ml/datasets/Othello+Domain+Theory)|: Used in research to generate features for an inductive learning system
|394.|[Ozone Level Detection](http://archive.ics.uci.edu/ml/datasets/Ozone+Level+Detection)|: Two ground ozone level data sets are included in this collection One is the eight hour peak set (eighthrdata), the other is the one hour peak set (onehrdata) Those data were collected from 1998 to 2004 at the Houston, Galveston and Brazoria area
|395.|[p53 Mutants](http://archive.ics.uci.edu/ml/datasets/p53+Mutants)|: The goal is to model mutant p53 transcriptional activity (active vs inactive) based on data extracted from biophysical simulations\r\n
|396.|[Page Blocks Classification](http://archive.ics.uci.edu/ml/datasets/Page+Blocks+Classification)|: The problem consists of classifying all the blocks of the page layout of a document that has been detected by a segmentation process
|397.|[PAMAP2 Physical Activity Monitoring](http://archive.ics.uci.edu/ml/datasets/PAMAP2+Physical+Activity+Monitoring)|: The PAMAP2 Physical Activity Monitoring dataset contains data of 18 different physical activities, performed by 9 subjects wearing 3 inertial measurement units and a heart rate monitor
|398.|[PANDOR](http://archive.ics.uci.edu/ml/datasets/PANDOR)|: PANDOR is a novel and publicly available dataset for online recommendation provided by Purch (http://wwwpurchcom/)
|399.|[Paper Reviews](http://archive.ics.uci.edu/ml/datasets/Paper+Reviews)|: This sentiment analysis data set contains scientific paper reviews from an international conference on computing and informatics The task is to predict the orientation or the evaluation of a review
|400.|[Parking Birmingham](http://archive.ics.uci.edu/ml/datasets/Parking+Birmingham)|: Data collected from car parks in Birmingham that are operated by NCP from \r\nBirmingham City Council UK Open Government Licence (OGL)\r\nhttps://databirminghamgovuk/dataset/birmingham-parking
|401.|[Parkinson Dataset with replicated acoustic features ](http://archive.ics.uci.edu/ml/datasets/Parkinson+Dataset+with+replicated+acoustic+features+)|: Contains acoustic features extracted from 3 voice recording  replications of the sustained /a/ phonation for each one of the 80 subjects (40 of them with Parkinson\'s Disease)
|402.|[Parkinson Disease Spiral Drawings Using Digitized Graphics Tablet](http://archive.ics.uci.edu/ml/datasets/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
|403.|[Parkinson Speech Dataset with  Multiple Types of Sound Recordings](http://archive.ics.uci.edu/ml/datasets/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
|404.|[Parkinson\'s Disease Classification](http://archive.ics.uci.edu/ml/datasets/Parkinson%27s+Disease+Classification)|: The data used in this study were gathered from 188 patients with PD (107 men and 81 women) with ages ranging from 33 to 87 (651\xc2\xb1109)
|405.|[Parkinsons](http://archive.ics.uci.edu/ml/datasets/Parkinsons)|: Oxford Parkinson\'s Disease Detection Dataset
|406.|[Parkinsons Telemonitoring](http://archive.ics.uci.edu/ml/datasets/Parkinsons+Telemonitoring)|: Oxford Parkinson\'s Disease Telemonitoring Dataset
|407.|[Pedal Me Bicycle Deliveries](http://archive.ics.uci.edu/ml/datasets/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
|408.|[Pedestrian in Traffic Dataset](http://archive.ics.uci.edu/ml/datasets/Pedestrian+in+Traffic+Dataset)|: This data-set contains a number of pedestrian tracks recorded from a vehicle driving in a town in southern Germany The data is particularly well-suited for multi-agent motion prediction tasks
|409.|[PEMS-SF](http://archive.ics.uci.edu/ml/datasets/PEMS-SF)|: 15 months worth of daily data (440 daily records) that describes the occupancy rate, between 0 and 1, of different car lanes of the San Francisco bay area freeways across time
|410.|[Pen-Based Recognition of Handwritten Digits](http://archive.ics.uci.edu/ml/datasets/Pen-Based+Recognition+of+Handwritten+Digits)|: Digit database of 250 samples from 44 writers
|411.|[Perfume Data](http://archive.ics.uci.edu/ml/datasets/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
|412.|[Person Classification Gait Data](http://archive.ics.uci.edu/ml/datasets/Person+Classification+Gait+Data)|: Gait is considered a biometric criterion Therefore, we tried to classify people with gait analysis with this gait data set
|413.|[Phishing Websites](http://archive.ics.uci.edu/ml/datasets/Phishing+Websites)|: This dataset collected mainly from: PhishTank archive, MillerSmiles archive, Google\xe2\x80\x99s searching operators
|414.|[Physical Unclonable Functions](http://archive.ics.uci.edu/ml/datasets/Physical+Unclonable+Functions)|: The dataset is generated from Physical Unclonable Functions (PUFs) simulation, specifically XOR Arbiter PUFs PUFs are used for authentication purposes For more info, refer to our paper below
|415.|[Physicochemical Properties of Protein Tertiary Structure](http://archive.ics.uci.edu/ml/datasets/Physicochemical+Properties+of+Protein+Tertiary+Structure)|: This is a data set of Physicochemical Properties of Protein Tertiary Structure The data set is taken from CASP 5-9 There are 45730 decoys and size varying from 0 to 21 armstrong
|416.|[Pioneer-1 Mobile Robot Data](http://archive.ics.uci.edu/ml/datasets/Pioneer-1+Mobile+Robot+Data)|: This dataset contains time series sensor readings of the Pioneer-1 mobile robot The data is broken into "experiences" in which the robot takes action for some period of time and experiences a control
|417.|[Pittsburgh Bridges](http://archive.ics.uci.edu/ml/datasets/Pittsburgh+Bridges)|: Bridges database that has original and numeric-discretized datasets
|418.|[Planning Relax](http://archive.ics.uci.edu/ml/datasets/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
|419.|[Plants](http://archive.ics.uci.edu/ml/datasets/Plants)|: Data has been extracted from the USDA plants database It contains all plants (species and genera) in the database and the states of USA and Canada where they occur
|420.|[PM2.5 Data of Five Chinese Cities](http://archive.ics.uci.edu/ml/datasets/PM2.5+Data+of+Five+Chinese+Cities)|: This hourly data set contains the PM25 data in Beijing, Shanghai, Guangzhou, Chengdu and Shenyang Meanwhile, meteorological data for each city are also included
|421.|[PMU-UD](http://archive.ics.uci.edu/ml/datasets/PMU-UD)|: The handwritten dataset was collected from 170 participants with a total of 5,180 numeral patterns The dataset is named Prince Mohammad Bin Fahd University - Urdu/Arabic Database (PMU-UD)
|422.|[Poker Hand](http://archive.ics.uci.edu/ml/datasets/Poker+Hand)|: Purpose is to predict poker hands
|423.|[Polish companies bankruptcy data](http://archive.ics.uci.edu/ml/datasets/Polish+companies+bankruptcy+data)|: The dataset is about bankruptcy prediction of Polish companiesThe bankrupt companies were analyzed in the period 2000-2012, while the still operating companies were evaluated from 2007 to 2013
|424.|[Post-Operative Patient](http://archive.ics.uci.edu/ml/datasets/Post-Operative+Patient)|: Dataset of patient features
|425.|[Power consumption of Tetouan city](http://archive.ics.uci.edu/ml/datasets/Power+consumption+of+Tetouan+city)|: This dataset is related to  power consumption of three different distribution networks of Tetouan city which is located in north Morocco
|426.|[PPG-DaLiA](http://archive.ics.uci.edu/ml/datasets/PPG-DaLiA)|: PPG-DaLiA contains data from 15 subjects wearing physiological and motion sensors, providing a PPG dataset for motion compensation and heart rate estimation in Daily Life Activities\r\n\t
|427.|[Predict keywords activities in a online social media](http://archive.ics.uci.edu/ml/datasets/Predict+keywords+activities+in+a+online+social+media)|: The data from Twitter was collected during 360 consecutive days It was done by querying 1497 English keywords sampled from Wikipedia This dataset is proposed in a Learning to rank setting
|428.|[Primary Tumor](http://archive.ics.uci.edu/ml/datasets/Primary+Tumor)|: From Ljubljana Oncology Institute
|429.|[Prodigy](http://archive.ics.uci.edu/ml/datasets/Prodigy)|: Assorted domains like blocksworld, eightpuzzle, and schedworld
|430.|[Productivity Prediction of Garment Employees](http://archive.ics.uci.edu/ml/datasets/Productivity+Prediction+of+Garment+Employees)|: This dataset includes important attributes of the garment manufacturing process and the productivity of the employees which had been collected manually and also been validated by the industry experts
|431.|[Protein Data](http://archive.ics.uci.edu/ml/datasets/Protein+Data)|: Undocumented
|432.|[Pseudo Periodic Synthetic Time Series](http://archive.ics.uci.edu/ml/datasets/Pseudo+Periodic+Synthetic+Time+Series)|: This data set is designed for testing indexing schemes in time series databases The data appears highly periodic, but never exactly repeats itself
|433.|[PubChem Bioassay Data](http://archive.ics.uci.edu/ml/datasets/PubChem+Bioassay+Data)|: These highly imbalanced bioassay datasets are from the differing types of screening that can be performed using HTS technology 21 datasets were created from 12 bioassays
|434.|[QSAR androgen receptor](http://archive.ics.uci.edu/ml/datasets/QSAR+androgen+receptor)|: 1024 binary attributes (molecular fingerprints) used to classify 1687 chemicals into 2 classes (binder to androgen receptor/positive, non-binder to androgen receptor /negative)
|435.|[QSAR aquatic toxicity](http://archive.ics.uci.edu/ml/datasets/QSAR+aquatic+toxicity)|: Data set containing values for 8 attributes (molecular descriptors) of 546 chemicals used to predict quantitative acute aquatic toxicity towards Daphnia Magna
|436.|[QSAR Bioconcentration classes dataset](http://archive.ics.uci.edu/ml/datasets/QSAR+Bioconcentration+classes+dataset)|: Dataset of manually-curated Bioconcentration factor (BCF, fish) and mechanistic classes for QSAR modeling
|437.|[QSAR biodegradation](http://archive.ics.uci.edu/ml/datasets/QSAR+biodegradation)|: Data set containing values for 41 attributes (molecular descriptors) used to classify 1055 chemicals into 2 classes (ready and not ready biodegradable)
|438.|[QSAR fish bioconcentration factor (BCF)](http://archive.ics.uci.edu/ml/datasets/QSAR+fish+bioconcentration+factor+%28BCF%29)|: Experimental bioconcentration factor (BCF) for 1056 molecules and binary fingeprints (extended connectivity) to be used for QSAR modeling
|439.|[QSAR fish toxicity](http://archive.ics.uci.edu/ml/datasets/QSAR+fish+toxicity)|: Data set containing values for 6 attributes (molecular descriptors) of 908 chemicals used to predict quantitative acute aquatic toxicity towards the fish Pimephales promelas (fathead minnow)
|440.|[QSAR oral toxicity](http://archive.ics.uci.edu/ml/datasets/QSAR+oral+toxicity)|: Data set containing values for 1024 binary attributes (molecular fingerprints) used to classify 8992 chemicals into 2 classes (very toxic/positive, not very toxic/negative)
|441.|[QtyT40I10D100K](http://archive.ics.uci.edu/ml/datasets/QtyT40I10D100K)|: Since there is no numerical sequential data stream available in standard data sets, this data set is generated from the original T40I10D100K data set
|442.|[Quadruped Mammals](http://archive.ics.uci.edu/ml/datasets/Quadruped+Mammals)|:  The file animalsc is a data generator of structured instances representing quadruped animals
|443.|[Qualitative Structure Activity Relationships](http://archive.ics.uci.edu/ml/datasets/Qualitative+Structure+Activity+Relationships)|: Two sets of datasets are given: pyrimidines and triazines
|444.|[Qualitative_Bankruptcy](http://archive.ics.uci.edu/ml/datasets/Qualitative_Bankruptcy)|: Predict the Bankruptcy from Qualitative parameters from experts
|445.|[Quality Assessment of Digital Colposcopies](http://archive.ics.uci.edu/ml/datasets/Quality+Assessment+of+Digital+Colposcopies)|: This dataset explores the subjective quality assessment of digital colposcopies
|446.|[Query Analytics Workloads Dataset](http://archive.ics.uci.edu/ml/datasets/Query+Analytics+Workloads+Dataset)|: The data-set contains three (3) sets of range/radius query workloads from Gaussian distributions over a real dataset; Each query is associated with aggregate scalar values (count/sum/average)
|447.|[Raisin Dataset](http://archive.ics.uci.edu/ml/datasets/Raisin+Dataset)|: Images of the Kecimen and Besni raisin varieties were obtained with CVS A total of 900 raisins were used, including 450 from both varieties, and 7 morphological features were extracted
|448.|[Real estate valuation data set](http://archive.ics.uci.edu/ml/datasets/Real+estate+valuation+data+set)|: The \xe2\x80\x9creal estate valuation\xe2\x80\x9d is a regression problem The market historical data set of real estate valuation are collected from Sindian Dist, New Taipei City, Taiwan
|449.|[Real-time Election Results: Portugal 2019](http://archive.ics.uci.edu/ml/datasets/Real-time+Election+Results%3A+Portugal+2019)|: Data set of the real-time election results of the 2019 Portuguese Parliamentary Election
|450.|[REALDISP Activity Recognition Dataset](http://archive.ics.uci.edu/ml/datasets/REALDISP+Activity+Recognition+Dataset)|: The REALDISP dataset is devised to evaluate techniques dealing with the effects of sensor displacement in wearable activity recognition as well as to benchmark general activity recognition algorithms
|451.|[Record Linkage Comparison Patterns](http://archive.ics.uci.edu/ml/datasets/Record+Linkage+Comparison+Patterns)|: Element-wise comparison of records with personal data from a record linkage setting The task is to decide from a comparison pattern whether the underlying records belong to one person
|452.|[Refractive errors](http://archive.ics.uci.edu/ml/datasets/Refractive+errors)|: Effect of life style and genetic on eye refractive errors
|453.|[REJAFADA ](http://archive.ics.uci.edu/ml/datasets/REJAFADA+)|: REJAFADA (Retrieval of Jar Files Applied to Dynamic Analysis) aims to be used, as benchmark, to check the quality of  the detection of Jar malware
|454.|[Relative location of CT slices on axial axis](http://archive.ics.uci.edu/ml/datasets/Relative+location+of+CT+slices+on+axial+axis)|: The dataset consists of 384 features extracted from CT images The class variable is numeric and denotes the relative location of the CT slice on the axial axis of the human body
|455.|[Repeat Consumption Matrices](http://archive.ics.uci.edu/ml/datasets/Repeat+Consumption+Matrices)|: The dataset contains 7 datasets of User - Item matrices, where each entry represents how many times a user consumed an item Item is used as an umbrella term for various categories
|456.|[Residential Building Data Set](http://archive.ics.uci.edu/ml/datasets/Residential+Building+Data+Set)|: Data set includes construction cost, sale prices, project variables, and economic variables corresponding to real estate single-family residential apartments in Tehran, Iran
|457.|[Restaurant & consumer data](http://archive.ics.uci.edu/ml/datasets/Restaurant+%26+consumer+data)|: The dataset was obtained from a recommender system prototype The task was to generate a top-n list of restaurants according to the consumer preferences
|458.|[Reuters RCV1 RCV2 Multilingual, Multiview Text Categorization Test collection](http://archive.ics.uci.edu/ml/datasets/Reuters+RCV1+RCV2+Multilingual%2C+Multiview+Text+Categorization+Test+collection)|: This test collection contains feature characteristics of documents originally written in five different languages and their translations, over a common set of 6 categories
|459.|[Reuters Transcribed Subset](http://archive.ics.uci.edu/ml/datasets/Reuters+Transcribed+Subset)|: This dataset is created by reading out 200 files from the 10 largest Reuters \r\nclasses and using an Automatic Speech Recognition system to create \r\ncorresponding transcriptions
|460.|[Reuters-21578 Text Categorization Collection](http://archive.ics.uci.edu/ml/datasets/Reuters-21578+Text+Categorization+Collection)|: This is a collection of documents that appeared on Reuters newswire in 1987 The documents were assembled and indexed with categories
|461.|[Reuter_50_50](http://archive.ics.uci.edu/ml/datasets/Reuter_50_50)|: The dataset is used for authorship identification in online Writeprint which is a new research field of pattern recognition
|462.|[REWEMA](http://archive.ics.uci.edu/ml/datasets/REWEMA)|: REWEMA (Retrieval of 32-bit Windows Architecture Executables Applied to Malware Analysis) can be used in Artificial intelligence-based antivirus
|463.|[Rice (Cammeo and Osmancik)](http://archive.ics.uci.edu/ml/datasets/Rice+%28Cammeo+and+Osmancik%29)|: A total of 3810 rice grain\'s images were taken for the two species, processed and feature inferences were made 7 morphological features were obtained for each grain of rice
|464.|[Rice Leaf Diseases](http://archive.ics.uci.edu/ml/datasets/Rice+Leaf+Diseases)|: There are three classes/diseases: Bacterial leaf blight, Brown spot, and Leaf smut, each having 40 images The format of all images is jpg  
|465.|[Risk Factor prediction of Chronic Kidney Disease](http://archive.ics.uci.edu/ml/datasets/Risk+Factor+prediction+of+Chronic+Kidney+Disease)|: Chronic kidney disease (CKD) is an increasing medical issue that declines the productivity of renal capacities and subsequently damages the kidneys
|466.|[Robot Execution Failures](http://archive.ics.uci.edu/ml/datasets/Robot+Execution+Failures)|: This dataset contains force and torque measurements on a robot after failure detection Each failure is characterized by 15 force/torque samples collected at regular time intervals
|467.|[Rocket League Skillshots Data Set](http://archive.ics.uci.edu/ml/datasets/Rocket+League+Skillshots+Data+Set)|: This dataset contains data of players of the game Rocket League, performing different skillshots
|468.|[Roman Urdu Data Set](http://archive.ics.uci.edu/ml/datasets/Roman+Urdu+Data+Set)|: Roman Urdu (the scripting style for Urdu language) is one of the limited resource languagesA data corpus comprising of more than 20000 records was collected
|469.|[Roman Urdu Sentiment Analysis Dataset (RUSAD)](http://archive.ics.uci.edu/ml/datasets/Roman+Urdu+Sentiment+Analysis+Dataset+%28RUSAD%29)|: The dataset was gathered to carry out research on the task of sentiment analysis for Roman Urdu
|470.|[Room Occupancy Estimation](http://archive.ics.uci.edu/ml/datasets/Room+Occupancy+Estimation)|: Data set for estimating the precise number of occupants in a room using multiple non-intrusive environmental sensors like temperature, light, sound, CO2 and PIR
|471.|[Russian Corpus of Biographical Texts](http://archive.ics.uci.edu/ml/datasets/Russian+Corpus+of+Biographical+Texts)|: Sentence classification (Russian) The corpus contains Wikipedia texts splitted into sentences/ Each sentence has a topic label
|472.|[Sales_Transactions_Dataset_Weekly](http://archive.ics.uci.edu/ml/datasets/Sales_Transactions_Dataset_Weekly)|: Contains weekly purchased quantities of 800 over products over 52 weeks Normalised values are provided too
|473.|[Sattriya_Dance_Single_Hand_Gestures Dataset](http://archive.ics.uci.edu/ml/datasets/Sattriya_Dance_Single_Hand_Gestures+Dataset)|: The Sattriya_Dance_Single_Hand_Gestures dataset contains 1450 images of 29 Sattriya dance single-hand gestures consisting 50 samples from each hasta
|474.|[SCADI](http://archive.ics.uci.edu/ml/datasets/SCADI)|: First self-care activities dataset based on ICF-CY
|475.|[SECOM](http://archive.ics.uci.edu/ml/datasets/SECOM)|: Data from a semi-conductor manufacturing process
|476.|[Secondary Mushroom Dataset](http://archive.ics.uci.edu/ml/datasets/Secondary+Mushroom+Dataset)|: Dataset of simulated mushrooms for binary classification into edible and poisonous
|477.|[seeds](http://archive.ics.uci.edu/ml/datasets/seeds)|: Measurements of geometrical properties of kernels belonging to three different varieties of wheat A soft X-ray technique and GRAINS package were used to construct all seven, real-valued attributes
|478.|[seismic-bumps](http://archive.ics.uci.edu/ml/datasets/seismic-bumps)|: The data describe the problem of high energy (higher than 10^4 J) seismic bumps forecasting in a coal \r\nmine Data come from two of longwalls located in a Polish coal mine
|479.|[selfBACK](http://archive.ics.uci.edu/ml/datasets/selfBACK)|: The SELFBACK dataset is a Human Activity Recognition Dataset of 9\r\nactivity classes recorded with two tri-axial accelerometers
|480.|[Semeion Handwritten Digit](http://archive.ics.uci.edu/ml/datasets/Semeion+Handwritten+Digit)|: 1593 handwritten digits from around 80 persons were scanned, stretched in a rectangular box 16x16 in a gray scale of 256 values
|481.|[sEMG for Basic Hand movements](http://archive.ics.uci.edu/ml/datasets/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
|482.|[Sentence Classification](http://archive.ics.uci.edu/ml/datasets/Sentence+Classification)|: Contains sentences from the abstract and introduction of 30 articles annotated with a modified Argumentative Zones annotation scheme These articles come from biology, machine learning and psychology
|483.|[sentiment analysis in Saudi Arabia about distance education during Covid-19 ](http://archive.ics.uci.edu/ml/datasets/sentiment+analysis+in+Saudi+Arabia+about+distance+education+during+Covid-19+)|: The data were collected from Twitter About distance education in Saudi Arabia due to Covid-19 pandemic Data were gathered from Sep 2 to 17, 2020 Arabic Tweets classified as positive or negative
|484.|[Sentiment Labelled Sentences](http://archive.ics.uci.edu/ml/datasets/Sentiment+Labelled+Sentences)|: The dataset contains sentences labelled with positive or negative sentiment
|485.|[Seoul Bike Sharing Demand](http://archive.ics.uci.edu/ml/datasets/Seoul+Bike+Sharing+Demand)|: The dataset contains count of public bikes rented at each hour in Seoul Bike haring System with the corresponding Weather data and Holidays information
|486.|[Sepsis survival minimal clinical records](http://archive.ics.uci.edu/ml/datasets/Sepsis+survival+minimal+clinical+records)|: This dataset collection contains minimal health records of 110,204 admissions (primary cohort), 19,051 admissions (study cohort), and 137 admissions (validation cohort) of patients who had sepsis \r\n
|487.|[ser Knowledge Modeling Data (Students\' Knowledge Levels on DC Electrical Machines)](http://archive.ics.uci.edu/ml/datasets/ser+Knowledge+Modeling+Data+%28Students%27+Knowledge+Levels+on+DC+Electrical+Machines%29)|: The dataset is about the users\' learning activities and knowledge levels on subjects of DC  Electrical Machines The dataset had been obtained from online web-courses  and reported in my PhD Thesis
|488.|[Servo](http://archive.ics.uci.edu/ml/datasets/Servo)|: Data was from a simulation of a servo system
|489.|[SGEMM GPU kernel performance](http://archive.ics.uci.edu/ml/datasets/SGEMM+GPU+kernel+performance)|: Running times for multiplying two 2048 x 2048 matrices using a GPU OpenCL SGEMM kernel with varying parameters (using the library \'CLTune\')
|490.|[Shill Bidding Dataset](http://archive.ics.uci.edu/ml/datasets/Shill+Bidding+Dataset)|: We scraped a large number of eBay auctions of a popular product After preprocessing the auction data, we build the SB dataset The goal is to share the labelled SB dataset with the researchers
|491.|[Shoulder Implant Manufacture Classification](http://archive.ics.uci.edu/ml/datasets/Shoulder+Implant+Manufacture+Classification)|: The multi-class classification data set consists of 597 de-identified raw images of X-ray scans showing implanted shoulder prostheses from four manufactures
|492.|[Shoulder Implant Manufacture Classification](http://archive.ics.uci.edu/ml/datasets/Shoulder+Implant+Manufacture+Classification)|: The multi-class classification data set consists of 597 de-identified raw images of X-ray scans showing implanted shoulder prostheses from four manufactures
|493.|[Shoulder Implant X-Ray Manufacturer Classification](http://archive.ics.uci.edu/ml/datasets/Shoulder+Implant+X-Ray+Manufacturer+Classification)|: 597 de-identified raw X-ray scans of implanted shoulder prostheses from four manufactures
|494.|[Shoulder Implant X-Ray Manufacturer Classification](http://archive.ics.uci.edu/ml/datasets/Shoulder+Implant+X-Ray+Manufacturer+Classification)|: 597 de-identified raw X-ray scans of implanted shoulder prostheses from four manufactures
|495.|[Shuttle Landing Control](http://archive.ics.uci.edu/ml/datasets/Shuttle+Landing+Control)|: Tiny database; all nominal values
|496.|[SIFT10M](http://archive.ics.uci.edu/ml/datasets/SIFT10M)|: In SIFT10M, each data point is a SIFT feature which is extracted from Caltech-256 by the open source VLFeat library The corresponding patches of the SIFT features are provided
|497.|[Simulated data for survival modelling](http://archive.ics.uci.edu/ml/datasets/Simulated+data+for+survival+modelling)|: A variety of survival data, with carefully controlled event and censor rates, is available to allow people to develop and test new approaches to survival modelling
|498.|[Simulated Falls and Daily Living Activities Data Set](http://archive.ics.uci.edu/ml/datasets/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 (3060 instances) that attached to their head, chest, waist, wrist, thigh and ankle
|499.|[SkillCraft1 Master Table Dataset](http://archive.ics.uci.edu/ml/datasets/SkillCraft1+Master+Table+Dataset)|: This data was used in Thompson et al (2013) A list of possible game actions is discussed in Thompson, Blair, Chen, & Henrey (2013)
|500.|[Skin Segmentation](http://archive.ics.uci.edu/ml/datasets/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
|501.|[Smartphone Dataset for Human Activity Recognition (HAR) in Ambient Assisted Living (AAL)](http://archive.ics.uci.edu/ml/datasets/Smartphone+Dataset+for+Human+Activity+Recognition+%28HAR%29+in+Ambient+Assisted+Living+%28AAL%29)|: This data is an addition to an existing dataset on UCI We collected more data to improve the accuracy of our human activity recognition algorithms applied in the domain of Ambient Assisted Living  
|502.|[Smartphone-Based Recognition of Human Activities and Postural Transitions](http://archive.ics.uci.edu/ml/datasets/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\r\n
|503.|[SML2010](http://archive.ics.uci.edu/ml/datasets/SML2010)|: This dataset is collected from a monitor system mounted in a domotic house It corresponds to approximately 40 days of monitoring data
|504.|[SMS Spam Collection](http://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection)|: The SMS Spam Collection is a public set of SMS labeled messages that have been collected for mobile phone spam research
|505.|[Solar Flare](http://archive.ics.uci.edu/ml/datasets/Solar+Flare)|: Each class attribute counts the number of solar flares of a certain class that occur in a 24 hour period
|506.|[Somerville Happiness Survey](http://archive.ics.uci.edu/ml/datasets/Somerville+Happiness+Survey)|: A data extract of a non-federal dataset posted here https://catalogdatagov/dataset/somerville-happiness-survey-responses-2011-2013-2015
|507.|[South German Credit](http://archive.ics.uci.edu/ml/datasets/South+German+Credit)|: 700 good and 300 bad credits with 20 predictor variables Data from 1973 to 1975 Stratified sample from actual credits with bad credits heavily oversampled A cost matrix can be used
|508.|[South German Credit (UPDATE)](http://archive.ics.uci.edu/ml/datasets/South+German+Credit+%28UPDATE%29)|: 700 good and 300 bad credits with 20 predictor variables Data from 1973 to 1975 Stratified sample from actual credits with bad credits heavily oversampled A cost matrix can be used
|509.|[Soybean (Large)](http://archive.ics.uci.edu/ml/datasets/Soybean+%28Large%29)|: Michalski\'s famous soybean disease database
|510.|[Soybean (Small)](http://archive.ics.uci.edu/ml/datasets/Soybean+%28Small%29)|: Michalski\'s famous soybean disease database
|511.|[Spambase](http://archive.ics.uci.edu/ml/datasets/Spambase)|: Classifying Email as Spam or Non-Spam
|512.|[Speaker Accent Recognition](http://archive.ics.uci.edu/ml/datasets/Speaker+Accent+Recognition)|: Data set featuring single English words read by speakers from six different countries for accent detection and recognition
|513.|[SPECT Heart](http://archive.ics.uci.edu/ml/datasets/SPECT+Heart)|: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images Each patient classified into two categories: normal and abnormal
|514.|[SPECTF Heart](http://archive.ics.uci.edu/ml/datasets/SPECTF+Heart)|: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images Each patient classified into two categories: normal and abnormal
|515.|[Spoken Arabic Digit](http://archive.ics.uci.edu/ml/datasets/Spoken+Arabic+Digit)|: This dataset contains timeseries of mel-frequency cepstrum coefficients (MFCCs) corresponding to spoken Arabic digits  Includes data from 44 male and 44 female native Arabic speakers
|516.|[Sponge](http://archive.ics.uci.edu/ml/datasets/Sponge)|: Data on sponges; Attributes in spanish
|517.|[Sports articles for objectivity analysis](http://archive.ics.uci.edu/ml/datasets/Sports+articles+for+objectivity+analysis)|: 1000 sports articles were labeled using Amazon Mechanical Turk as objective or subjective The raw texts, extracted features, and the URLs from which the articles were retrieved are provided
|518.|[Statlog (Australian Credit Approval)](http://archive.ics.uci.edu/ml/datasets/Statlog+%28Australian+Credit+Approval%29)|: This file concerns credit card applications This database exists elsewhere in the repository (Credit Screening Database) in a slightly different form
|519.|[Statlog (German Credit Data)](http://archive.ics.uci.edu/ml/datasets/Statlog+%28German+Credit+Data%29)|: This dataset classifies people described by a set of attributes as good or bad credit risks Comes in two formats (one all numeric) Also comes with a cost matrix
|520.|[Statlog (Heart)](http://archive.ics.uci.edu/ml/datasets/Statlog+%28Heart%29)|: This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form
|521.|[Statlog (Image Segmentation)](http://archive.ics.uci.edu/ml/datasets/Statlog+%28Image+Segmentation%29)|: This dataset is an image segmentation database similar to a database already present in the repository (Image segmentation database) but in a slightly different form
|522.|[Statlog (Landsat Satellite)](http://archive.ics.uci.edu/ml/datasets/Statlog+%28Landsat+Satellite%29)|: Multi-spectral values of pixels in 3x3 neighbourhoods in a satellite image, and the classification associated with the central pixel in each neighbourhood
|523.|[Statlog (Shuttle)](http://archive.ics.uci.edu/ml/datasets/Statlog+%28Shuttle%29)|: The shuttle dataset contains 9 attributes all of which are numerical Approximately 80% of the data belongs to class 1
|524.|[Statlog (Vehicle Silhouettes)](http://archive.ics.uci.edu/ml/datasets/Statlog+%28Vehicle+Silhouettes%29)|: 3D objects within a 2D image by application of an ensemble of shape feature extractors to the 2D silhouettes of the objects
|525.|[Statlog Project](http://archive.ics.uci.edu/ml/datasets/Statlog+Project)|: Various Databases: Vehicle silhouttes, Landsat Sattelite, Shuttle, Australian Credit Approval, Heart Disease, Image Segmentation, German Credit
|526.|[Steel Industry Energy Consumption Dataset](http://archive.ics.uci.edu/ml/datasets/Steel+Industry+Energy+Consumption+Dataset)|: The data is collected from a smart small-scale steel industry in South Korea
|527.|[Steel Industry Energy Consumption Dataset](http://archive.ics.uci.edu/ml/datasets/Steel+Industry+Energy+Consumption+Dataset)|: Dataset attributes are lagging and leading current reactive power, the lagging and leading current power factor, carbon dioxide emissions, and load types Timespan - 1year (365 days)
|528.|[Steel Plates Faults](http://archive.ics.uci.edu/ml/datasets/Steel+Plates+Faults)|: A dataset of steel plates\xe2\x80\x99 faults, classified into 7 different types \r\nThe goal was to train machine learning for automatic pattern recognition\r\n
|529.|[Stock keeping units](http://archive.ics.uci.edu/ml/datasets/Stock+keeping+units)|: The dataset is provided by the \xe2\x80\x9cTrialto Latvia LTD\xe2\x80\x9d, the third-party logistics operator Each observation stands for a distinct type of item for sale
|530.|[Stock keeping units](http://archive.ics.uci.edu/ml/datasets/Stock+keeping+units)|: The dataset is provided by the \xe2\x80\x9cTrialto Latvia LTD\xe2\x80\x9d, the third-party logistics operator Each observation stands for a distinct type of item for sale
|531.|[Stock portfolio performance](http://archive.ics.uci.edu/ml/datasets/Stock+portfolio+performance)|: The data set of performances of weighted scoring stock portfolios are obtained with mixture design from the US stock market historical database
|532.|[StoneFlakes](http://archive.ics.uci.edu/ml/datasets/StoneFlakes)|: Stone flakes are waste products of the stone tool production in\r\nthe prehistoric era The variables are means of geometric and\r\nstylistic features of the flakes contained in different inventories
|533.|[Student Academics Performance](http://archive.ics.uci.edu/ml/datasets/Student+Academics+Performance)|: The dataset tried to find the end semester percentage prediction based on different social, economic and academic attributes
|534.|[Student Loan Relational](http://archive.ics.uci.edu/ml/datasets/Student+Loan+Relational)|: Student Loan Relational Domain
|535.|[Student Performance](http://archive.ics.uci.edu/ml/datasets/Student+Performance)|: Predict student performance in secondary education (high school)
|536.|[Student Performance on an entrance examination](http://archive.ics.uci.edu/ml/datasets/Student+Performance+on+an+entrance+examination)|: This dataset contains data of the candidates who qualified the medical entrance examination for admission to medical colleges of Assam of a particular year and collected by Prof Jiten Hazarika
|537.|[Superconductivty Data](http://archive.ics.uci.edu/ml/datasets/Superconductivty+Data)|: Two file s contain data on 21263 superconductors and their relevant features
|538.|[SUSY](http://archive.ics.uci.edu/ml/datasets/SUSY)|: This is a classification problem to distinguish between a signal process which produces supersymmetric particles and a background process which does not
|539.|[Swarm Behaviour](http://archive.ics.uci.edu/ml/datasets/Swarm+Behaviour)|: This dataset achieved from an online survey, which is run by UNSW, Australia It contains three data of \' Flocking - Not Flocking\', \'Aligned - Not Aligned\', and \'Grouped - Not Grouped\'
|540.|[Synchronous Machine Data Set](http://archive.ics.uci.edu/ml/datasets/Synchronous+Machine+Data+Set)|: Synchronous motors (SMs) are AC motors with constant speedA SM dataset is obtained from a real experimental set The task is to create the strong models to estimate the excitation current of SM
|541.|[Synchronous Machine Data Set](http://archive.ics.uci.edu/ml/datasets/Synchronous+Machine+Data+Set)|: Synchronous motors (SMs) are AC motors with constant speedA SM dataset is obtained from a real experimental set The task is to create the strong models to estimate the excitation current of SM
|542.|[Synthetic Control Chart Time Series](http://archive.ics.uci.edu/ml/datasets/Synthetic+Control+Chart+Time+Series)|: This data consists of synthetically generated control charts
|543.|[Syskill and Webert Web Page Ratings](http://archive.ics.uci.edu/ml/datasets/Syskill+and+Webert+Web+Page+Ratings)|: This database contains HTML source of web pages plus the ratings of a single user on these web pages Web pages are on four seperate subjects (Bands- recording artists; Goats; Sheep; and BioMedical)
|544.|[Taiwanese Bankruptcy Prediction](http://archive.ics.uci.edu/ml/datasets/Taiwanese+Bankruptcy+Prediction)|: The data were collected from the Taiwan Economic Journal  for the years 1999 to 2009 Company bankruptcy was defined based on the business regulations of the Taiwan Stock Exchange
|545.|[Tamilnadu Electricity Board Hourly Readings](http://archive.ics.uci.edu/ml/datasets/Tamilnadu+Electricity+Board+Hourly+Readings)|: This data can be effectively produced the result to fewer parameter of the Load profile can be reduced in the Database  
|546.|[TamilSentiMix](http://archive.ics.uci.edu/ml/datasets/TamilSentiMix)|: We created a gold standard Tamil-English code-switched, sentiment-annotated corpus containing 15,744 comment posts from YouTube
|547.|[Tarvel Review Ratings](http://archive.ics.uci.edu/ml/datasets/Tarvel+Review+Ratings)|: Google reviews on attractions from 24 categories across Europe are considered Google user rating ranges from 1 to 5 and average user rating per category is calculated
|548.|[Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015](http://archive.ics.uci.edu/ml/datasets/Taxi+Service+Trajectory+-+Prediction+Challenge%2C+ECML+PKDD+2015)|: An accurate dataset describing trajectories performed by all the 442 taxis running in the city of Porto, in Portugal\r\n
|549.|[Teaching Assistant Evaluation](http://archive.ics.uci.edu/ml/datasets/Teaching+Assistant+Evaluation)|: The data consist of evaluations of teaching performance; scores are "low", "medium", or "high"
|550.|[Tennis Major Tournament Match Statistics](http://archive.ics.uci.edu/ml/datasets/Tennis+Major+Tournament+Match+Statistics)|: This is a collection of 8 files containing the match statistics for both women and men at the four major tennis tournaments of the year 2013 Each file has 42 columns and a minimum of 76 rows
|551.|[Thoracic Surgery Data](http://archive.ics.uci.edu/ml/datasets/Thoracic+Surgery+Data)|: The data is dedicated to classification problem related to the post-operative life expectancy in the lung cancer patients: class 1 - death within one year after surgery, class 2 - survival
|552.|[Thyroid Disease](http://archive.ics.uci.edu/ml/datasets/Thyroid+Disease)|: 10 separate databases from Garavan Institute
|553.|[Tic-Tac-Toe Endgame](http://archive.ics.uci.edu/ml/datasets/Tic-Tac-Toe+Endgame)|: Binary classification task on possible configurations of tic-tac-toe game
|554.|[Traffic Flow Forecasting](http://archive.ics.uci.edu/ml/datasets/Traffic+Flow+Forecasting)|: The task for this dataset is to forecast the spatio-temporal traffic volume based on the historical traffic volume and other features in neighboring locations
|555.|[Trains](http://archive.ics.uci.edu/ml/datasets/Trains)|: 2 data formats (structured, one-instance-per-line)
|556.|[Travel Reviews](http://archive.ics.uci.edu/ml/datasets/Travel+Reviews)|: Reviews on destinations in 10 categories mentioned across East Asia Each traveler rating is mapped as Excellent(4), Very Good(3), Average(2), Poor(1), and Terrible(0) and average rating is used
|557.|[TTC-3600: Benchmark dataset for Turkish text categorization](http://archive.ics.uci.edu/ml/datasets/TTC-3600%3A+Benchmark+dataset+for+Turkish+text+categorization)|: The TTC-3600 data set is a collection of Turkish news and articles including categorized 3,600 documents from 6 well-known portals in Turkey It has 4 different forms in ARFF Weka format
|558.|[TUANDROMD ( Tezpur University Android Malware Dataset)](http://archive.ics.uci.edu/ml/datasets/TUANDROMD+%28+Tezpur+University+Android+Malware+Dataset%29)|: TUNADROMD dataset contains 4465  instances and 241 attributes The target attribute for classification is a category (malware vs goodware) (NB This is the preprocessed version of TUANDROMD)
|559.|[Turkish Headlines Dataset](http://archive.ics.uci.edu/ml/datasets/Turkish+Headlines+Dataset)|: Dataset consists of 7 news type labels These labels are economy, politics, life, technology, magazine, health, sport This dataset was created by me via Mynet, Milliyet, etc websites
|560.|[Turkish Music Emotion Dataset](http://archive.ics.uci.edu/ml/datasets/Turkish+Music+Emotion+Dataset)|: There are four different classes of music emotions in the dataset: happy, sad, angry, and relax
|561.|[Turkish Spam V01](http://archive.ics.uci.edu/ml/datasets/Turkish+Spam+V01)|: The TurkishSpam data set contains spam and normal emails written in Turkish
|562.|[Turkiye Student Evaluation](http://archive.ics.uci.edu/ml/datasets/Turkiye+Student+Evaluation)|: This data set contains a total 5820 evaluation scores provided by students from Gazi University in Ankara (Turkey) There is a total of 28 course specific questions and additional 5 attributes
|563.|[TV News Channel Commercial Detection Dataset](http://archive.ics.uci.edu/ml/datasets/TV+News+Channel+Commercial+Detection+Dataset)|: TV Commercials data set consists of  standard audio-visual features of video shots extracted from 150 hours of TV news broadcast of 3 Indian and 2 international news channels ( 30 Hours each)  
|564.|[Twenty Newsgroups](http://archive.ics.uci.edu/ml/datasets/Twenty+Newsgroups)|: This data set consists of 20000 messages taken from 20 newsgroups
|565.|[Twin gas sensor arrays](http://archive.ics.uci.edu/ml/datasets/Twin+gas+sensor+arrays)|: 5 replicates of an 8-MOX gas sensor array were exposed to different gas conditions (4 volatiles at 10 concentration levels each)
|566.|[Twitter Data set for Arabic Sentiment Analysis](http://archive.ics.uci.edu/ml/datasets/Twitter+Data+set+for+Arabic+Sentiment+Analysis)|: This problem of Sentiment Analysis (SA) has been studied well on the English language but not Arabic one Two main approaches have been devised: corpus-based and lexicon-based
|567.|[UbiqLog (smartphone lifelogging)](http://archive.ics.uci.edu/ml/datasets/UbiqLog+%28smartphone+lifelogging%29)|: UbiqLog is the smartphone lifelogging tool that runs on the smartphone of 35 users for about 2 months \r\n
|568.|[UJI Pen Characters](http://archive.ics.uci.edu/ml/datasets/UJI+Pen+Characters)|: Data consists of written characters in a UNIPEN-like format
|569.|[UJI Pen Characters (Version 2)](http://archive.ics.uci.edu/ml/datasets/UJI+Pen+Characters+%28Version+2%29)|: A pen-based database with more than 11k isolated handwritten characters
|570.|[UJIIndoorLoc](http://archive.ics.uci.edu/ml/datasets/UJIIndoorLoc)|: The UJIIndoorLoc is a Multi-Building Multi-Floor indoor localization database to test Indoor Positioning System that rely on WLAN/WiFi fingerprint
|571.|[UJIIndoorLoc-Mag](http://archive.ics.uci.edu/ml/datasets/UJIIndoorLoc-Mag)|: The UJIIndoorLoc-Mag is an indoor localization database to test Indoor Positioning System that rely on Earth\'s magnetic field variations
|572.|[Ultrasonic flowmeter diagnostics](http://archive.ics.uci.edu/ml/datasets/Ultrasonic+flowmeter+diagnostics)|: Fault diagnosis of four liquid ultrasonic flowmeters
|573.|[Undocumented](http://archive.ics.uci.edu/ml/datasets/Undocumented)|: Various datasets without documentation (feel free to explore!)
|574.|[University](http://archive.ics.uci.edu/ml/datasets/University)|: Data in original (LISP-readable) form
|575.|[University of Tehran Question Dataset 2016 (UTQD.2016)](http://archive.ics.uci.edu/ml/datasets/University+of+Tehran+Question+Dataset+2016+%28UTQD.2016%29)|: Persian questions gathered from a jeopardy game broadcasted on Iranian national television
|576.|[UNIX User Data](http://archive.ics.uci.edu/ml/datasets/UNIX+User+Data)|: This file contains 9 sets of sanitized user data drawn from the command histories of 8 UNIX computer users at Purdue over the course of up to 2 years
|577.|[Unmanned Aerial Vehicle (UAV) Intrusion Detection](http://archive.ics.uci.edu/ml/datasets/Unmanned+Aerial+Vehicle+%28UAV%29+Intrusion+Detection)|: For UAV identification, each input is an encrypted WiFi traffic record while the output is whether the current traffic is from a UAV or not Meta-info on attribute relationship is also provided
|578.|[Unmanned Aerial Vehicle (UAV) Intrusion Detection](http://archive.ics.uci.edu/ml/datasets/Unmanned+Aerial+Vehicle+%28UAV%29+Intrusion+Detection)|: For UAV identification, each input is an encrypted WiFi traffic record while the output is whether the current traffic is from a UAV or not Meta-info on attribute relationship is also provided
|579.|[Urban Land Cover](http://archive.ics.uci.edu/ml/datasets/Urban+Land+Cover)|: Classification of urban land cover using high resolution aerial imagery Intended to assist sustainable urban planning efforts
|580.|[UrbanGB, urban road accidents coordinates labelled by the urban center](http://archive.ics.uci.edu/ml/datasets/UrbanGB%2C+urban+road+accidents+coordinates+labelled+by+the+urban+center)|: Coordinates (longitude and latitude) of 360177 road accidents occurred in urban areas in Great Britain, and labelled according to the urban center where they occurred (469 possible labels)
|581.|[URL Reputation](http://archive.ics.uci.edu/ml/datasets/URL+Reputation)|: Anonymized 120-day subset of the ICML-09 URL data containing 24 million examples and 32 million features
|582.|[US Census Data (1990)](http://archive.ics.uci.edu/ml/datasets/US+Census+Data+%281990%29)|: The USCensus1990raw data set contains a one percent sample of the Public Use Microdata Samples (PUMS) person records drawn from the full 1990 census sample
|583.|[User Identification From Walking Activity](http://archive.ics.uci.edu/ml/datasets/User+Identification+From+Walking+Activity)|: The dataset collects data from an Android smartphone positioned in the chest pocket from 22 participants walking in the wild over a predefined path \r\n
|584.|[User Knowledge Modeling](http://archive.ics.uci.edu/ml/datasets/User+Knowledge+Modeling)|: It is the real dataset about the students\' knowledge status about the subject of Electrical DC Machines The dataset had been obtained from PhD Thesis
|585.|[User Profiling and Abusive Language Detection Dataset](http://archive.ics.uci.edu/ml/datasets/User+Profiling+and+Abusive+Language+Detection+Dataset)|: The user profiling dataset is a collection of abusive users tweets and also their user following and user follower tweets The Abusive language detection dataset is a collection of abusive tweets
|586.|[USPTO Algorithm Challenge, run by NASA-Harvard Tournament Lab and TopCoder    Problem: Pat](http://archive.ics.uci.edu/ml/datasets/USPTO+Algorithm+Challenge%2C+run+by+NASA-Harvard+Tournament+Lab+and+TopCoder++++Problem%3A+Pat)|: Data used for USPTO Algorithm Competition Contains drawing pages from US patents with manually labeled figure and part labels
|587.|[Vehicle routing and scheduling problems](http://archive.ics.uci.edu/ml/datasets/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 S\xc3\xa3o Paulo (Brazil)
|588.|[Vertebral Column](http://archive.ics.uci.edu/ml/datasets/Vertebral+Column)|: Data set containing values for six biomechanical features used to classify orthopaedic patients into 3 classes (normal, disk hernia or spondilolysthesis) or 2 classes (normal or abnormal)
|589.|[Vicon Physical Action Data Set](http://archive.ics.uci.edu/ml/datasets/Vicon+Physical+Action+Data+Set)|: The Physical Action Data Set includes 10 normal and 10 aggressive physical actions that measure the human activity The data have been collected by 10 subjects using the Vicon 3D tracker
|590.|[Victorian Era Authorship Attribution](http://archive.ics.uci.edu/ml/datasets/Victorian+Era+Authorship+Attribution)|: To create the largest authorship attribution dataset, we extracted works of 50 well-known authors To have a non-exhaustive learning, in training there are 45 authors whereas, in the testing, it\'s 50
|591.|[Volcanoes on Venus - JARtool experiment](http://archive.ics.uci.edu/ml/datasets/Volcanoes+on+Venus+-+JARtool+experiment)|: The JARtool project was a pioneering effort to develop an automatic system for cataloging small volcanoes in the large set of Venus images returned by the Magellan spacecraft
|592.|[Wall-Following Robot Navigation Data](http://archive.ics.uci.edu/ml/datasets/Wall-Following+Robot+Navigation+Data)|: The data were collected as the SCITOS G5 robot navigates through the room following the wall in a clockwise direction, for 4 rounds, using 24 ultrasound sensors arranged circularly around its \'waist\'
|593.|[Water Quality Prediction](http://archive.ics.uci.edu/ml/datasets/Water+Quality+Prediction)|: The goal is to predict the spatio-temporal water quality in terms of the \xe2\x80\x9cpower of hydrogen (pH)\xe2\x80\x9d value for the next day based on the historical data of water measurement indices
|594.|[Water Treatment Plant](http://archive.ics.uci.edu/ml/datasets/Water+Treatment+Plant)|: Multiple classes predict plant state
|595.|[Wave Energy Converters](http://archive.ics.uci.edu/ml/datasets/Wave+Energy+Converters)|: This data set consists of positions and absorbed power outputs of wave energy converters (WECs) in four real wave scenarios from the southern coast of Australia
|596.|[Wave Energy Converters](http://archive.ics.uci.edu/ml/datasets/Wave+Energy+Converters)|: This data set consists of positions and absorbed power outputs of wave energy converters (WECs) in four real wave scenarios from the southern coast of Australia
|597.|[Waveform Database Generator (Version 1)](http://archive.ics.uci.edu/ml/datasets/Waveform+Database+Generator+%28Version+1%29)|: CART book\'s waveform domains
|598.|[Waveform Database Generator (Version 2)](http://archive.ics.uci.edu/ml/datasets/Waveform+Database+Generator+%28Version+2%29)|: CART book\'s waveform domains
|599.|[Wearable Computing: Classification of Body Postures and Movements (PUC-Rio)](http://archive.ics.uci.edu/ml/datasets/Wearable+Computing%3A+Classification+of+Body+Postures+and+Movements+%28PUC-Rio%29)|: A dataset with 5 classes (sitting-down, standing-up, standing, walking, and sitting) collected on 8 hours of activities of 4 healthy subjects We also established a baseline performance index
|600.|[Website Phishing](http://archive.ics.uci.edu/ml/datasets/Website+Phishing)|: \r\n\r\n
|601.|[Weight Lifting Exercises monitored with Inertial Measurement Units](http://archive.ics.uci.edu/ml/datasets/Weight+Lifting+Exercises+monitored+with+Inertial+Measurement+Units)|: Six young health subjects were asked to perform 5 variations of the biceps curl weight lifting exercise One of the variations is the one predicted by the health professional
|602.|[WESAD (Wearable Stress and Affect Detection)](http://archive.ics.uci.edu/ml/datasets/WESAD+%28Wearable+Stress+and+Affect+Detection%29)|: WESAD (Wearable Stress and Affect Detection) contains data of 15 subjects during a stress-affect lab study, while wearing physiological and motion sensors
|603.|[Wheat kernels](http://archive.ics.uci.edu/ml/datasets/Wheat+kernels)|: Measurements of morphological descriptors  of wheat kernels from Punjab State A machine Learning based technique was used to extract 15 features, all are real valued attributes
|604.|[Wholesale customers](http://archive.ics.uci.edu/ml/datasets/Wholesale+customers)|: The data set refers to clients of a wholesale distributor It includes the annual spending in monetary units (mu) on diverse product categories
|605.|[wiki4HE](http://archive.ics.uci.edu/ml/datasets/wiki4HE)|: Survey of faculty members from two Spanish universities on teaching uses of Wikipedia
|606.|[Wikipedia Math Essentials](http://archive.ics.uci.edu/ml/datasets/Wikipedia+Math+Essentials)|: Contains Wikipedia pages about popular mathematics topics and the edges describe the links from one page to another Features describe the number of daily visits between 2019 and 2021 March
|607.|[Wikipedia Math Essentials](http://archive.ics.uci.edu/ml/datasets/Wikipedia+Math+Essentials)|: Contains Wikipedia pages about popular mathematics topics and the edges describe the links from one page to another Features describe the number of daily visits between 2019 and 2021 March
|608.|[Wilt](http://archive.ics.uci.edu/ml/datasets/Wilt)|: High-resolution Remote Sensing data set (Quickbird) Small number of training samples of diseased trees, large number for other land cover Testing data set from stratified random sample of image
|609.|[Wine](http://archive.ics.uci.edu/ml/datasets/Wine)|: Using chemical analysis determine the origin of wines
|610.|[Wine Quality](http://archive.ics.uci.edu/ml/datasets/Wine+Quality)|: Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal The goal is to model wine quality based on physicochemical tests (see [Cortez et al, 2009], http://www3dsiuminhopt/pcortez/wine/)
|611.|[Wireless Indoor Localization](http://archive.ics.uci.edu/ml/datasets/Wireless+Indoor+Localization)|: Collected in indoor space by observing signal strengths of seven WiFi signals visible on a smartphone The decision variable is one of the four rooms
|612.|[WISDM Smartphone and Smartwatch Activity and Biometrics Dataset ](http://archive.ics.uci.edu/ml/datasets/WISDM+Smartphone+and+Smartwatch+Activity+and+Biometrics+Dataset+)|: Contains accelerometer and gyroscope time-series sensor data collected from a smartphone and smartwatch as 51 test subjects perform 18 activities for 3 minutes each
|613.|[Wisesight Sentiment Corpus](http://archive.ics.uci.edu/ml/datasets/Wisesight+Sentiment+Corpus)|: Social media messages in Thai language with sentiment label (positive, neutral, negative, question)
|614.|[Yacht Hydrodynamics](http://archive.ics.uci.edu/ml/datasets/Yacht+Hydrodynamics)|: Delft data set, used to predict the hydodynamic performance of sailing yachts from dimensions and velocity
|615.|[YearPredictionMSD](http://archive.ics.uci.edu/ml/datasets/YearPredictionMSD)|: Prediction of the release year of a song from audio features Songs are mostly western, commercial tracks ranging from 1922 to 2011, with a peak in the year 2000s
|616.|[Yeast](http://archive.ics.uci.edu/ml/datasets/Yeast)|: Predicting the Cellular Localization Sites of Proteins
|617.|[YouTube Comedy Slam Preference Data](http://archive.ics.uci.edu/ml/datasets/YouTube+Comedy+Slam+Preference+Data)|: This dataset provides user vote data on which video from a pair of videos is funnier collected on YouTube Comedy Slam The task is to automatically predict this preference based on video metadata
|618.|[Youtube cookery channels viewers comments in Hinglish](http://archive.ics.uci.edu/ml/datasets/Youtube+cookery+channels+viewers+comments+in+Hinglish)|: The datasets are taken from top 2 Indian cooking channel named Nisha Madhulika channel and Kabita\xe2\x80\x99s Kitchen channel\r\nThe data set is in Hinglish Language \r\n\r\n\r\n
|619.|[YouTube Multiview Video Games Dataset](http://archive.ics.uci.edu/ml/datasets/YouTube+Multiview+Video+Games+Dataset)|: This dataset contains about 120k instances, each described by 13 feature types, with class information, specially useful for exploring multiview topics (cotraining, ensembles, clustering,)
|620.|[YouTube Spam Collection](http://archive.ics.uci.edu/ml/datasets/YouTube+Spam+Collection)|: It is a public set of comments collected for spam research It has five datasets composed by 1,956 real messages extracted from five videos that were among the 10 most viewed on the collection period
|621.|[Z-Alizadeh Sani](http://archive.ics.uci.edu/ml/datasets/Z-Alizadeh+Sani)|: It was collected for CAD diagnosis
|622.|[Zoo](http://archive.ics.uci.edu/ml/datasets/Zoo)|: Artificial, 7 classes of animals

>  Table View
