File 1

Car Evaluation

The model evaluates cars according to the following concept structure: car acceptability, overall price, buying price, price of the maintenance, technical characteristics, comfort, number of doors, capacity in terms of persons to carry, the size of luggage boot, and estimated safety of the car

Automobile

This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars. The second rating corresponds to the degree to which the auto is more risky than its price indicates. Cars are initially assigned a risk factor symbol associated with its price. Then, if it is more risky (or less), this symbol is adjusted by moving it up (or down) the scale. Actuarians call this process "symboling". A value of +3 indicates that the auto is risky, -3 that it is probably pretty safe.

The third factor is the relative average loss payment per insured vehicle year. This value is normalized for all autos within a particular size classification (two-door small, station wagons, sports/speciality, etc...), and represents the average loss per car per year.

Combined Cycle Power Plant

The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full load. Features consist of hourly average ambient variables Temperature (T), Ambient Pressure (AP), Relative Humidity (RH) and Exhaust Vacuum (V) to predict the net hourly electrical energy output (EP) of the plant. A combined cycle power plant (CCPP) is composed of gas turbines (GT), steam turbines (ST) and heat recovery steam generators. In a CCPP, the electricity is generated by gas and steam turbines, which are combined in one cycle, and is transferred from one turbine to another. While the Vacuum is collected from and has effect on the Steam Turbine, he other three of the ambient variables effect the GT performance. For comparability with our baseline studies, and to allow 5x2 fold statistical tests be carried out, we provide the data shuffled five times. For each shuffling 2-fold CV is carried out and the resulting 10 measurements are used for statistical testing.

File 2

Steel Plates Faults

Folder containing ReadMe file and all instances of a dataset of steel plates faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition.

Appliances Energy Prediction

The data set is at 10 min for about 4.5 months. The house temperature and humidity conditions were monitored with a ZigBee wireless sensor network. Each wireless node transmitted the temperature and humidity conditions around 3.3 min. Then, the wireless data was averaged for 10 minutes periods. The energy data was logged every 10 minutes with m-bus energy meters. Weather from the nearest airport weather station (Chievres Airport, Belgium) was downloaded from a public data set from Reliable Prognosis (rp5.ru), and merged together with the experimental data sets using the date and time column. Two random variables have been included in the data set for testing the regression models and to filter out non predictive attributes (parameters).

Semiconductor Manufacturing Process

FAB data collected from 590 sensors in the semiconductor manufacturing process

Gas Sensor Array Drift

This archive contains 13910 measurements from 16 chemical sensors exposed to 6 different gases at various concentration levels. These measurements are utilized in Simulations for drift compensation in a discrimination task of six gases at various levels of concentrations.

WISDM Smartphone and Smartwatch Activity and Biometrics Dataset

For a detailed description of the dataset, please see the following pdf file that is stored with the data: WISDM-dataset-description.pdf. The raw accelerometer and gyroscope sensor data is collected from the smartphone and smartwatch at a rate of 20Hz. It is collected from 51 test subjects as they perform 18 activities for 3 minutes apiece. The sensor data for each device (phone, watch) and type of sensor (accelerometer, gyroscope) is stored in a different directory (so there are 4 data directories). In each directory there are 51 files corresponding to the 51 test subjects. The format of every entry is the same: . The descriptions of these attributes are provided with the attribute information. In addition to the raw time-series sensor data we also generate examples that describe the sensor data using a 10-second window. See the dataset description document for details. Although this data can most naturally be used for activity recognition, it can also be used to build behavioral biometric models since each sensor reading is associated with a specific subject.

Turbofan Engine Degradation Simulation

Engine degradation Simulation was carried out using C-MAPSS. Four different were sets simulated under different combinations of operational conditions and fault modes. Records several sensor channels to characterize fault evolution. The data set was provided by the Prognostics CoE at NASA Ames.

Beijing Multi-Site Air-Quality Data

This data set includes hourly air pollutants data from 12 nationally-controlled air-quality monitoring sites. The air-quality data are from the Beijing Municipal Environmental Monitoring Center. The meteorological data in each air-quality site are matched with the nearest weather station from the China Meteorological Administration. The time period is from March 1st, 2013 to February 28th, 2017. Missing data are denoted as NA.

Gas Sensor Array Under Dynamic Gas Mixtures

This data set contains the acquired time series from 16 chemical sensors exposed to gas mixtures at varying concentration levels.
For each measurement (each gas mixture), the signals were acquired continuously for about 12 hours without interruption.

Intelligent Maintenance Systems Test-to-Failure Bearings

Experiments on bearings. The data set was provided by the Center for Intelligent Maintenance Systems (IMS), University of Cincinnati.

Superconductivity

This dataset contains 81 features extracted from 21263 superconductors along with the critical temperature

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.
The resulting dataset induces a ten-class gas discrimination problem

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Experiments on Lithium-Ion Batteries

Charging and discharging at different temperatures. Records the impedance as the damage criterion. The data set was provided by the Prognostics CoE at NASA Ames.

Seoul Bike Sharing Demand

The dataset contains weather information, the number of bikes rented per hour, and date information.

Currently Rental bikes are introduced in many urban cities for the enhancement of mobility comfort. It is important to make the rental bike available and accessible to the public at the right time as it lessens the waiting time. Eventually, providing the city with a stable supply of rental bikes becomes a major concern. The crucial part is the prediction of bike count required at each hour for the stable supply of rental bikes.
The dataset contains weather information (Temperature, Humidity, Windspeed, Visibility, Dewpoint, Solar radiation, Snowfall, Rainfall), the number of bikes rented per hour and date information.

Algerian Forest Fires

The dataset includes 244 instances that regroup a data of two regions of Algeria,namely the Bejaia region located in the northeast of Algeria and the Sidi Bel-abbes region located in the northwest of Algeria.

Milling

Experiments on a milling machine for different speeds, feeds, and depth of cut. Records the wear of the milling insert, VB. The data set was provided by the BEST lab at UC Berkeley.

Pedestrian in Traffic

The raw data was acquired from a vehicle equipped with multiple sensors while driving, for approximately five hours, in an urban area in southern Germany. The sensor set included one mono-RGB camera, one stereo-RGB camera, an inertial measurement system with differential GPS and a lidar system. The preprocessed data available from this repository consists of 45 pedestrian tracks (in world coordinates) together with a semantic map of the static environment. For each track and at each time-step, not only the agent position is provided, but also body and head orientation attributes, as well as the position of all other agents and their type (e.g. car, cyclist, pedestrian etc.).

Deepfakes: Medical Image Tamper Detection

Attackers have the ability to intercept and add/remove medical evidence in medical imagery with high realism using deep learning. In this dataset we present medical deepfakes: 3D CT scans of human lungs, where some have been tampered with real cancer removed and with fake cancer injected. The objective of this dataset is to distinguish between real and fake cancers, and identify where medical scans have been tampered. Three expert radiologists have evaluated this dataset and could not reliably tell the difference between real and fake cancers, meaning that the fake cancers are realistic and this detection task is very challenging. For more information, please see our paper 'CT-GAN'.

Internet Firewall

There are 12 features in total. Action feature is used as a class. There are 4 classes in total. These are allow, action, drop and reset-both classes.

Carbon Fiber Reinforced Polymer Composites

Run-to-failure experiments were run on Carbon Fiber Reinforced Polymer (CFRP) panels with periodic measurements to capture internal damage growth under tension-tension fatigue. Monitoring data consist of lamb wave signals from a network of 16 piezoelectric (PZT) sensors and multiple triaxial strain gages. Additionally, periodic x-rays were taken to characterize internal damage as ground truth information. Three different layups were tested. Experiments were conducted at Stanford Structures and Composites Laboratory (SACL) in collaboration with the Prognostic Center of Excellence (PCoE) of NASA Ames Research Center. Dataset is organized into three zipped folders each containing data from coupons of single layup type and includes a readme file, and a folder with reports and papers published from this dataset.

Trebuchet

Trajectories of different types of balls launched from a trebuchet with varying counter weights. Flights were filmed and extraction routines calculated position of data. Both raw video data and extracted trajectories are provided. Geometry and physical properties of the trebuchet are available.

Capacitor Electrical Stress

Capacitors were subjected to electrical stress under three voltage levels i.e 10V, 12V and 14V. Data Set contains EIS data as well as Charge/Discharge Signal data. D

High-Intensity Radiated Field Battery

Battery Data collected from the Experiments on the Edge 540 Aircraft in HIRF Chamber.

Chemical Composition of Ceramic Samples

The energy dispersive X-ray fluorescence (EDXRF) was used to determine the chemical composition of celadon body and glaze in Longquan kiln (at Dayao County) and Jingdezhen kiln. Forty typical shards in four cultural eras were selected to investigate the raw materials and firing technology

Panasonic 18650PF Lithium-Ion Battery Data

A brand new 2.9Ah Panasonic 18650PF cell was tested in an 8 cubic foot thermal chamber with a 25 amp, 18 volt Digatron Firing Circuits Universal Battery Tester channel.

Insulated-Gate Bipolar Transistor Accelerated Aging

Preliminary data from thermal overstress accelerated aging using the aging and characterization system. The data set contains aging data from 6 devices, one device aged with DC gate bias and the rest aged with a squared signal gate bias. Several variables are recorded and in some cases, high-speed measurements of gate voltage, collector-emitter voltage and collector current are available. The data set is provided by the Prognostics CoE at NASA Ames.

Bearings Accelerated Life Test

Experiments on bearings' accelerated life tests provided by FEMTO-ST Institute, Besançon, France

Randomized Battery Usage

Batteries are continuously cycled with randomly generated current profiles. Reference charging and discharging cycles are also performed after a fixed interval of randomized usage in order to provide reference benchmarks for battery state of health.

Small Satellite Power Simulation

Data collected from the simulated experiments on small satellite BP930 batteries using the MACCOR system

MOSFET Thermal Overstress Aging

Run-to-failure experiments on Power MOSFETs under thermal overstress.

UK-DALE

This dataset records the power demand from five houses. In each house, both the whole-house mains power demand every six seconds as well as power demand from individual appliances every six seconds are recorded. In three of the five houses (houses 1, 2 and 5) the whole-house voltage and current at 16 kHz are recorded.

Electricity Consumption and Occupancy

The ECO (Electricity Consumption and Occupancy) data set is a comprehensive open-source (Creative Commons License CC BY 4.0) data set for non-intrusive load monitoring and occupancy detection research. It was collected in 6 Swiss households over a period of 8 months

GreenD: Energy Metering

GREEND is an energy dataset containing power measurements collected from multiple households in Austria and Italy. It provides detailed energy profiles on a per dvice basis with a sampling rate of 1 Hz

Condition Based Maintenance of Naval Propulsion Systems

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

CNC Mill Tool Wear

A series of machining experiments were run on 2" x 2" x 1.5" wax blocks in a CNC milling machine in the System-level Manufacturing and Automation Research Testbed (SMART) at the University of Michigan. Machining data was collected from a CNC machine for variations of tool condition, feed rate, and clamping pressure

CNC MILLING DATASET

A series of machining experiments were run on 2" x 2" x 1.5" wax blocks in a CNC milling machine in the System-level Manufacturing and Automation Research Testbed (SMART) at the University of Michigan. Machining data was collected from a CNC machine for variations of tool condition, feed rate, and clamping pressure. Each experiment produced a finished wax part with an "S" shape - S for smart manufacturing - carved into the top face, as shown in test_artifact.jpg

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