Air Quality
Donated on 3/22/2016
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.
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Computer Science
Associated Tasks
Regression
Feature Type
Real
# Instances
9358
# Features
15
Dataset Information
Additional Information
The dataset contains 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multisensor Device. The device was located on the field in a significantly polluted area, at road level,within an Italian city. Data were recorded from March 2004 to February 2005 (one year)representing the longest freely available recordings of on field deployed air quality chemical sensor devices responses. Ground Truth hourly averaged concentrations for CO, Non Metanic Hydrocarbons, Benzene, Total Nitrogen Oxides (NOx) and Nitrogen Dioxide (NO2) and were provided by a co-located reference certified analyzer. Evidences of cross-sensitivities as well as both concept and sensor drifts are present as described in De Vito et al., Sens. And Act. B, Vol. 129,2,2008 (citation required) eventually affecting sensors concentration estimation capabilities. Missing values are tagged with -200 value. This dataset can be used exclusively for research purposes. Commercial purposes are fully excluded.
Has Missing Values?
Yes
Introductory Paper
By S. D. Vito, E. Massera, M. Piga, L. Martinotto, G. Francia. 2008
Published in Sensors and Actuators B: Chemical
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Date | Feature | Date | no | ||
| Time | Feature | Categorical | no | ||
| CO(GT) | Feature | Integer | True hourly averaged concentration CO in mg/m^3 (reference analyzer) | mg/m^3 | no |
| PT08.S1(CO) | Feature | Categorical | hourly averaged sensor response (nominally CO targeted) | no | |
| NMHC(GT) | Feature | Integer | True hourly averaged overall Non Metanic HydroCarbons concentration in microg/m^3 (reference analyzer) | microg/m^3 | no |
| C6H6(GT) | Feature | Continuous | True hourly averaged Benzene concentration in microg/m^3 (reference analyzer) | microg/m^3 | no |
| PT08.S2(NMHC) | Feature | Categorical | hourly averaged sensor response (nominally NMHC targeted) | no | |
| NOx(GT) | Feature | Integer | True hourly averaged NOx concentration in ppb (reference analyzer) | ppb | no |
| PT08.S3(NOx) | Feature | Categorical | hourly averaged sensor response (nominally NOx targeted) | no | |
| NO2(GT) | Feature | Integer | True hourly averaged NO2 concentration in microg/m^3 (reference analyzer) | microg/m^3 | no |
0 to 10 of 15
Additional Variable Information
0 Date (DD/MM/YYYY) 1 Time (HH.MM.SS) 2 True hourly averaged concentration CO in mg/m^3 (reference analyzer) 3 PT08.S1 (tin oxide) hourly averaged sensor response (nominally CO targeted) 4 True hourly averaged overall Non Metanic HydroCarbons concentration in microg/m^3 (reference analyzer) 5 True hourly averaged Benzene concentration in microg/m^3 (reference analyzer) 6 PT08.S2 (titania) hourly averaged sensor response (nominally NMHC targeted) 7 True hourly averaged NOx concentration in ppb (reference analyzer) 8 PT08.S3 (tungsten oxide) hourly averaged sensor response (nominally NOx targeted) 9 True hourly averaged NO2 concentration in microg/m^3 (reference analyzer) 10 PT08.S4 (tungsten oxide) hourly averaged sensor response (nominally NO2 targeted) 11 PT08.S5 (indium oxide) hourly averaged sensor response (nominally O3 targeted) 12 Temperature in °C 13 Relative Humidity (%) 14 AH Absolute Humidity
Dataset Files
| File | Size |
|---|---|
| AirQualityUCI.xlsx | 1.2 MB |
| AirQualityUCI.csv | 766.7 KB |
Papers Citing this Dataset
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By Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu. 2019
Published in ArXiv.
By Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang. 2018
Published in CIKM '18.
By Martin Sundin, Saikat Chatterjee, Magnus Jansson. 2015
Published in
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset air_quality = fetch_ucirepo(id=360) # data (as pandas dataframes) X = air_quality.data.features y = air_quality.data.targets # metadata print(air_quality.metadata) # variable information print(air_quality.variables)
Vito, S. (2008). Air Quality [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C59K5F.
Creators
Saverio Vito
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.