Ozone Level Detection
Donated on 4/20/2008
Two ground ozone level data sets are included in this collection. One is the eight hour peak set (eighthr.data), the other is the one hour peak set (onehr.data). Those data were collected from 1998 to 2004 at the Houston, Galveston and Brazoria area.
Dataset Characteristics
Multivariate, Sequential, Time-Series
Subject Area
Climate and Environment
Associated Tasks
Classification
Feature Type
Real
# Instances
2536
# Features
72
Dataset Information
Additional Information
For a list of attributes, please refer to those two .names files. They use the following naming convention: All the attribute start with T means the temperature measured at different time throughout the day; and those starts with WS indicate the wind speed at various time. WSR_PK: continuous. peek wind speed -- resultant (meaning average of wind vector) WSR_AV: continuous. average wind speed T_PK: continuous. Peak T T_AV: continuous. Average T T85: continuous. T at 850 hpa level (or about 1500 m height) RH85: continuous. Relative Humidity at 850 hpa U85: continuous. (U wind - east-west direction wind at 850 hpa) V85: continuous. V wind - N-S direction wind at 850 HT85: continuous. Geopotential height at 850 hpa, it is about the same as height at low altitude T70: continuous. T at 700 hpa level (roughly 3100 m height) RH70: continuous. U70: continuous. V70: continuous. HT70: continuous. T50: continuous. T at 500 hpa level (roughly at 5500 m height) RH50: continuous. U50: continuous. V50: continuous. HT50: continuous. KI: continuous. K-Index http://www.weather.gov/glossary/index.php?letter=k TT: continuous. T-Totals http://www.theweatherprediction.com/habyhints/302/ SLP: continuous. Sea level pressure SLP_: continuous. SLP change from previous day Precp: continuous. -- precipitation
Has Missing Values?
Yes
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Dataset | ID | Categorical | no | ||
| Date | ID | Date | no | ||
| WSR0 | Feature | Continuous | yes | ||
| WSR1 | Feature | Continuous | yes | ||
| WSR2 | Feature | Continuous | yes | ||
| WSR3 | Feature | Continuous | yes | ||
| WSR4 | Feature | Continuous | yes | ||
| WSR5 | Feature | Continuous | yes | ||
| WSR6 | Feature | Continuous | yes | ||
| WSR7 | Feature | Continuous | yes |
0 to 10 of 75
Additional Variable Information
The following are specifications for several most important attributes that are highly valued by Texas Commission on Environmental Quality (TCEQ). More details can be found in the two relevant papers. O 3 - Local ozone peak prediction Upwind - Upwind ozone background level EmFactor - Precursor emissions related factor Tmax - Maximum temperature in degrees F Tb - Base temperature where net ozone production begins (50 F) SRd - Solar radiation total for the day WSa - Wind speed near sunrise (using 09-12 UTC forecast mode) WSp - Wind speed mid-day (using 15-21 UTC forecast mode) Please refer to those two .names files.
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset ozone_level_detection = fetch_ucirepo(id=172) # data (as pandas dataframes) X = ozone_level_detection.data.features y = ozone_level_detection.data.targets # metadata print(ozone_level_detection.metadata) # variable information print(ozone_level_detection.variables)
Zhang,Kun, Fan,Wei, and Yuan,XiaoJing. (2008). Ozone Level Detection. UCI Machine Learning Repository. https://doi.org/10.24432/C5NG6W.
@misc{misc_ozone_level_detection_172,
author = {Zhang,Kun, Fan,Wei, and Yuan,XiaoJing},
title = {{Ozone Level Detection}},
year = {2008},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5NG6W}
}Creators
Kun Zhang
Wei Fan
XiaoJing Yuan
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.