Geoweaver/ozone_training_data

Ozone Training Data

Dataset Summary

The Ozone training dataset contains information about ozone levels, temperature, wind speed, pressure, and other related atmospheric variables across various geographic locations and time periods. It includes detailed daily observations from multiple data sources for comprehensive environmental and air quality analysis. Geographic coordinates (latitude and longitude) and timestamps (month, day, and hour) provide spatial and temporal context for the data.

Authors

• Ziheng Sun
• Yunyao Li
• Daniel Tong
• Siqi Ma

Year

2024

Columns

Key	Unit	Data Type	Description
StationID	-	Int64	Unique identifier for the station
Latitude_x	Degrees	Float64	Latitude of the observation location
Longitude_x	Degrees	Float64	Longitude of the observation location
AirNOW_O3	ppb	Float64	Ozone levels from AirNOW
Lat_airnow	Degrees	Float64	Latitude from AirNOW data
Lon_airnow	Degrees	Float64	Longitude from AirNOW data
Lat_cmaq	Degrees	Float64	Latitude from CMAQ model
Lon_cmaq	Degrees	Float64	Longitude from CMAQ model
Latitude_y	Degrees	Float64	Latitude from secondary data source
Longitude_y	Degrees	Float64	Longitude from secondary data source
CMAQ12KM_O3(ppb)	ppb	Float64	Ozone levels from CMAQ model
CMAQ12KM_NO2(ppb)	ppb	Float64	NO2 levels from CMAQ model
CMAQ12KM_CO(ppm)	ppm	Float64	CO levels from CMAQ model
CMAQ_OC(ug/m3)	ug/m3	Float64	Organic carbon concentration from CMAQ model
PRSFC(Pa)	Pa	Float64	Surface pressure
PBL(m)	m	Float64	Planetary boundary layer height
TEMP2(K)	K	Float64	Temperature at 2 meters
WSPD10(m/s)	m/s	Float64	Wind speed at 10 meters
WDIR10(degree)	degree	Float64	Wind direction at 10 meters
RGRND(W/m2)	W/m2	Float64	Ground radiation
CFRAC	-	Float64	Cloud fraction
month	-	Int64	Month of observation
day	-	Int64	Day of observation
hours	-	Int64	Hour of observation

License

CC-BY-4.0

Usage

The dataset can be used for:

• Training and testing machine learning models for air quality prediction.
• Conducting research in atmospheric and environmental sciences.
• Analyzing the relationship between meteorological factors and air pollutants.

Citation

If you use this dataset in your research or projects, please cite it as follows:

@misc {geoweaver_2025,
    author       = { {Geoweaver} },
    title        = { ozone_training_data},
    year         = 2024,
    url          = { https://huggingface.co/datasets/Geoweaver/ozone_training_data },
    doi          = { 10.57967/hf/4198 },
    publisher    = { Hugging Face }
}