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


Repository Web            Google
View ALL Data Sets

PM2.5 Data of Five Chinese Cities Data Set
Download: Data Folder, Data Set Description

Abstract: This hourly data set contains the PM2.5 data in Beijing, Shanghai, Guangzhou, Chengdu and Shenyang. Meanwhile, meteorological data for each city are also included.

Data Set Characteristics:  

Multivariate, Time-Series

Number of Instances:

52854

Area:

Physical

Attribute Characteristics:

Integer, Real

Number of Attributes:

86

Date Donated

2017-07-18

Associated Tasks:

Regression

Missing Values?

Yes

Number of Web Hits:

2346


Source:

Song Xi Chen, csx '@' gsm.pku.edu.cn, Guanghua School of Management, Center for Statistical Science, Peking University.


Data Set Information:

The time period is between Jan 1st, 2010 to Dec 31st, 2015. Missing data are denoted as NA.


Attribute Information:

No: row number
year: year of data in this row
month: month of data in this row
day: day of data in this row
hour: hour of data in this row
season: season of data in this row
PM: PM2.5 concentration (ug/m^3)
DEWP: Dew Point (Celsius Degree)
TEMP: Temperature (Celsius Degree)
HUMI: Humidity (%)
PRES: Pressure (hPa)
cbwd: Combined wind direction
Iws: Cumulated wind speed (m/s)
precipitation: hourly precipitation (mm)
Iprec: Cumulated precipitation (mm)


Relevant Papers:

Liang, X., S. Li, S. Zhang, H. Huang, and S. X. Chen (2016), PM2.5 data reliability, consistency, and air quality assessment in five Chinese cities, J. Geophys. Res. Atmos., 121, 10220–10236, [Web Link].



Citation Request:

Liang, X., S. Li, S. Zhang, H. Huang, and S. X. Chen (2016), PM2.5 data reliability, consistency, and air quality assessment in five Chinese cities, J. Geophys. Res. Atmos., 121, 10220–10236, [Web Link].


Supported By:

 In Collaboration With:

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