---
license: cc-by-4.0
language:
- en
---


# 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 }
}
```