The Global Air Quality Data dataset provides an extensive compilation of air quality measurements from various prominent cities worldwide. This dataset includes crucial environmental indicators such as particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and ozone (O3), along with meteorological data like temperature, humidity, and wind speed. With 10,000 records, this dataset is ideal for researchers, data scientists, and policy makers looking to analyze air quality trends, understand the impact of pollution on health, and develop strategies for environmental improvement.

The dataset is composed of the following columns:

City: The name of the city where the air quality measurement was taken. Country: The country in which the city is located. Date: The date when the measurement was recorded. PM2.5: The concentration of fine particulate matter with a diameter of less than 2.5 micrometers (µg/m³). PM10: The concentration of particulate matter with a diameter of less than 10 micrometers (µg/m³). NO2: The concentration of nitrogen dioxide (µg/m³). SO2: The concentration of sulfur dioxide (µg/m³). CO: The concentration of carbon monoxide (mg/m³). O3: The concentration of ozone (µg/m³). Temperature: The temperature at the time of measurement (°C). Humidity: The humidity level at the time of measurement (%). Wind Speed: The wind speed at the time of measurement (m/s).

API operated by Louisville Metro that returns AQI information from local sensors operated by APCD. Shows the latest hourly data in a JSON feed.The Air Quality Index (AQI) is an easy way to tell you about air quality without having to know a lot of technical details. The “Metropolitan Air Quality Index” shows the AQI from the monitor in Kentuckiana that is currently detecting the highest level of air pollution. See: https://louisvilleky.gov/government/air-pollution-control-district/servi...See the air quality map (Louisville Air Watch) for more details: airqualitymap.louisvilleky.gov/#Read the FAQ for more information about the AQI data: https://louisvilleky.gov/government/air-pollution-control-district/louis...If you'd prefer air quality forecast data (raw data, maps, API) instead, please see AIRNow: https://www.airnow.gov/index.cfm?action=airnow.local_city&zipcode=40204&...See the Data Dictionary section below for information about what the AQI numbers mean, their corresponding colors, recommendations, and more info and links.To download daily snapshots of AQI for the last 25 years, visit the EPA website, set your year range, and choose, Louisville KY. Then download with the CSV link at the bottom of the page.IFTTT integration trigger that fires and after retrieving air quality from Louisville Metro air sensors via the APIGives a forecast instead of the current conditions, so you can take action before the air quality gets bad.The U.S. EPA AirNow program (www.AirNow.gov) protects public health by providing forecast and real-time observed air quality information across the United States, Canada, and Mexico. AirNow receives real-time air quality observations from over 2,000 monitoring stations and collects forecasts for more than 300 cities.Sign up for a free account and get started using the RSS data feed for Louisville. https://docs.airnowapi.org/feedsAir Quality Forecast via AirNowAQI Level - Value and Related Health Concerns LegendGood 0-50 GreenAir quality is considered satisfactory, and air pollution poses little or no risk.Moderate 51-100 YellowAir quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people who are unusually sensitive to air pollution.Unhealthy for Sensitive Groups 101-150 OrangeMembers of sensitive groups may experience health effects. The general public is not likely to be affected.Unhealthy 151-200 RedEveryone may begin to experience health effects; members of sensitive groups may experience more serious health effects.Very Unhealthy 201-300 PurpleHealth alert: everyone may experience more serious health effects.Hazardous > 300 Dark PurpleHealth warnings of emergency conditions. The entire population is more likely to be affected.Here are citizen actions APCD recommends on air quality alert days, that is, days when the forecast is for the air quality to reach or exceed the “unhealthy for sensitive groups” (orange) level:Don’t idle your car. (Recommended all the time; see the second link below.)Put off mowing grass with a gas mower until the alert ends.“Refuel when it’s cool” (pump gasoline only in the evening or night).Avoid driving if possible. Share rides or take TARC.Check on neighbors with breathing problems.Here are some links in relation to the recommendations:KAIRE, www.helptheair.org/Idle Free Louisville, www.helptheair.org/idle-freeTARCTicket to Ride, tickettoride.org/Lawn Care for Cleaner Air (rebates)Contact:Bryan FrazerBryan.Frazar@louisvilleky.gov

This image visually represents air quality data, including key pollutants such as CO, NOx, NO₂, O₃, SO₂, PM2.5, and PM10. It features an Air Quality Index (AQI) gauge, indicating the pollution level from good (green) to hazardous (red). The background showcases an urban cityscape, highlighting the impact of air pollution. Additional graphical elements like bar charts, clouds, and weather indicators (temperature, humidity, and wind speed) make this an informative and data-driven visualization for environmental monitoring and analysis.

Ideal for use as a header image in reports, dashboards, or presentations related to air quality prediction, pollution control, and environmental research. 🚀🌍💨

The data gathered by the United States Environmental Protection Agency (EPA) on air quality with respect to carbon monoxide, a major air pollutant. The data includes information from more than 200 sites, identified by state, county, city, and local site names. An AQI value close to 0 signals "little to no" public health concern, while higher values are associated with increased risk to public health.

Think of the AQI as a yardstick that runs from 0 to 500. The higher the AQI value, the greater the level of air pollution and the greater the health concern. For example, an AQI value of 50 or below represents good air quality, while an AQI value over 300 represents hazardous air quality.

For each pollutant an AQI value of 100 generally corresponds to an ambient air concentration that equals the level of the short-term national ambient air quality standard for protection of public health. AQI values at or below 100 are generally thought of as satisfactory. When AQI values are above 100, air quality is unhealthy: at first for certain sensitive groups of people, then for everyone as AQI values get higher.

Download service for the data set: Air quality data; Air quality data reported to the Swedish Environmental Protection Agency’s data host is made available via a web service called Sensor Observation Service (SOS). Data is made available via SOS in real time (i.e. concentrations for the last hour) for a sample of air pollutants and measurement stations. Historical data is also made available through the service. Data on levels of different air pollutants, including particulate matter, nitrogen dioxide and ground-level ozone, in Swedish cities and rural areas. All data reported to the Swedish Environmental Protection Agency’s air data host is made available via the service. This includes quality-assured historical data and so-called real-time data reported directly from measuring instruments without quality review. Available data are produced by municipalities, county administrative boards, the Swedish Environmental Protection Agency and other organisations such as air pollution associations, in accordance with the provisions of the Air Quality Ordinance (SFS 2010:477) and the Swedish Environmental Protection Agency’s regulations on air quality control (NFS 2016:9).

The National Air Pollution Surveillance (NAPS) program is the main source of ambient air quality data in Canada. The NAPS program, which began in 1969, is now comprised of nearly 260 stations in 150 rural and urban communities reporting to the Canada-Wide Air Quality Database (CWAQD). Managed by Environment and Climate Change Canada (ECCC) in collaboration with provincial, territorial, and regional government networks, the NAPS program forms an integral component of various diverse initiatives; including the Air Quality Health Index (AQHI), Canadian Environmental Sustainability Indicators (CESI), and the US-Canada Air Quality Agreement. Once per year, typically autumn, the Continuous data set for the previous year is reported on ECCC Data Mart. Beginning in March of 2020 the impact of the COVID-19 pandemic on NAPS Operations has resulted in reduced data availability for some sites and parameters. For additional information on NAPS data products contact the NAPS inquiry centre at RNSPA-NAPSINFO@ec.gc.ca Last updated March 2023. Supplemental Information Monitoring Program Overview The NAPS program is comprised of both continuous and (time-) integrated measurements of key air pollutants. Continuous data are collected using gas and particulate monitors, with data reported every hour of the year, and are available as hourly concentrations or annual averages. Integrated samples, collected at select sites, are analyzed at the NAPS laboratory in Ottawa for additional pollutants, and are typically collected for a 24 hour period once every six days, on various sampling media such as filters, canisters, and cartridges. Continuous Monitoring Air pollutants monitored continuously include the following chemical species: • carbon monoxide (CO) • nitrogen dioxide (NO2) • nitric oxide (NO) • nitrogen oxides (NOX) • ozone (O3) • sulphur dioxide (SO2) • particulate matter less than or equal to 2.5 (PM2.5) and 10 micrometres (PM10) Each provincial, territorial, and regional government monitoring network is responsible for collecting continuous data within their jurisdiction and ensuring that the data are quality-assured as specified in the Ambient Air Monitoring and Quality Assurance/Quality Control Guidelines. The hourly air pollutant concentrations are reported as hour-ending averages in local standard time with no adjustment for daylight savings time. These datasets are posted on an annual basis. Integrated Monitoring Categories of chemical species sampled on a time-integrated basis include: • fine (PM2.5) and coarse (PM10-2.5) particulate composition (e.g., metals, ions), and additional detailed chemistry provided through a subset of sites by the NAPS PM2.5 speciation program; • semi-volatile organic compounds (e.g., polycyclic aromatic hydrocarbons such as benzo[a]pyrene); • volatile organic compounds (e. g., benzene) The 24-hour air pollutant samples are collected from midnight to midnight. These datasets are generally posted on a quarterly basis. Data Disclaimer NAPS data products are subject to change on an ongoing basis, and reflect the most up-to-date and accurate information available. New versions of files will replace older ones, while retaining the same location and filename. The ‘Data-Donnees’ directory contains continuous and integrated data sorted by sampling year and then measurement. Pollutants measured, sampling duration and sampling frequency may vary by site location. Additional program details can be found at ‘ProgramInformation-InformationProgramme’ also in the data resources section. Citations National Air Pollution Surveillance Program, (year accessed). Available from the Government of Canada Open Data Portal at open.canada.ca.

Download service for the data set: Air quality data;

The atom service exposes data included in the reporting of the Air Quality Directive. Data is harmonised to specifications specified in the INSPIRE Directive. This service exposes air quality zoning and air quality monitoring stations. Air quality data reported to the Swedish Environmental Protection Agency’s data host is made available via a web service called Sensor Observation Service (SOS). Data is made available via SOS in real time (i.e. concentrations for the last hour) for a sample of air pollutants and measurement stations. Historical data is also made available through the service. Data on levels of different air pollutants, including particulate matter, nitrogen dioxide and ground-level ozone, in Swedish cities and rural areas.

All data reported to the Swedish Environmental Protection Agency’s air data host is made available via the service. This includes quality-assured historical data and so-called real-time data reported directly from measuring instruments without quality review.

Available data are produced by municipalities, county administrative boards, the Swedish Environmental Protection Agency and other organisations such as air pollution associations, in accordance with the provisions of the Air Quality Ordinance (SFS 2010:477) and the Swedish Environmental Protection Agency’s regulations on air quality control (NFS 2016:9).

Data on county socioeconomic status for 2,132 US counties and each county’s average annual cardiovascular mortality rate (CMR) and total PM2.5 concentration for 21 years (1990-2010). County CMR, PM2.5, and socioeconomic data were obtained from the U.S. National Center for Health Statistics, U.S. Environmental Protection Agency’s Community Multiscale Air Quality modeling system, and the U.S. Census, respectively. A socioeconomic index was created using seven county-level measures from the 1990 US census using factor analysis. Quintiles of this index were used to generate categories of county socioeconomic status. This dataset is associated with the following publication: Wyatt, L., G. Peterson, T. Wade, L. Neas, and A. Rappold. The contribution of improved air quality to reduced cardiovascular mortality: Declines in socioeconomic differences over time. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 136: 105430, (2020).

Description

This dataset contains the Air Quality Index (AQI) or Indeks Standar Pencemaran Udara (ISPU) measured from 5 air quality monitoring stations (SPKU) in DKI Jakarta from January 2010 to February 2025. This data is sourced from Satu Data Jakarta.

File description

In this dataset, there are 2 types of files: - ispu_dki*x*: This file represents the AQI measurement results from each monitoring station. The “x” is the station sequence number. This file contains measurements from January 2010 to February 2025 (except 2022). - ispu_dki_all: This file is the combined results of AQI measurements from each station where the highest AQI will represent Jakarta's air quality on that day. This file contains measurement results from January 2010 to February 2025.

Explanation of variables

1. tanggal : The date when the AQI measurement was recorded.
2. stasiun : The name or identifier of the monitoring station where the measurement was taken.
3. pm25 : The concentration of particulate matter with a diameter of 2.5 micrometers or less (PM2.5), measured in micrograms per cubic meter (µg/m³).
4. pm10 : The concentration of particulate matter with a diameter of 10 micrometers or less (PM10), measured in micrograms per cubic meter (µg/m³).
5. so2 : The concentration of sulfur dioxide (SO2), measured in parts per million (ppm).
6. co : The concentration of carbon monoxide (CO), measured in parts per million (ppm).
7. o3 : The concentration of ozone (O3), measured in parts per million (ppm).
8. no2 : The concentration of nitrogen dioxide (NO2), measured in parts per million (ppm).
9. max : The maximum value recorded among the pollutants for that particular date and station. This value represents the highest concentration among PM25, PM10, SO2, CO, O3, and NO2.
10. critical: The pollutant that had the highest concentration for that date and station.
11. category : The air quality category based on the 'max' value that describes the air quality level.

This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the county level for 2001-2019. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.

In this study, we used the U.S. Environmental Protection Agency (EPA)’s Environmental Quality Index (EQI) to investigate whether the environmental quality of the county of residence during early pregnancy is associated with gastroschisis in the National Birth Defects Prevention Study (NBDPS). The EQI is an aggregate environmental index incorporating a wide spectrum of environmental data that can be used to generate geographic-based estimates of cumulative environmental exposures across five domains: air, water, land, sociodemographic, and built environment. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Environmental Quality Index is available for download at: https://www.epa.gov/healthresearch/environmental-quality-index-eqi Data from the National Birth Defects Prevention Study (NBDPS) and the Birth Defects Study To Evaluate Pregnancy exposureS (BD-STEPS) are not released to the public.Qualified researchers can be granted access to NBDPS and/or BD-STEPS data for analysis through collaboration with one of the Centers for Birth Defects Research and Prevention (CBDRP). Information for access is available at https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. Format: The National Birth Defects Prevention Study (NBDPS) is a population-based, multi-center case–control study designed to investigate environmental and genetic risk factors for major structural birth defects in the U.S. (Reefhuis et al., 2015). Cases of gastroschisis and other eligible birth defects diagnosed among infants, stillbirths, and terminations with dates of delivery on or after October 1, 1997 and estimated dates of delivery on or before December 31, 2011 were identified by active, population-based birth defects surveillance programs in Arkansas (1998–2011; statewide), California (1997–2011; selected counties), Georgia (1997–2011; selected counties), Iowa (1997–2011; statewide), Massachusetts (1997–2011; selected counties), New Jersey (1998–2002; statewide), New York (1997–2002 & 2004–2011; selected counties), North Carolina (2003–2011; selected counties), Texas (1997–2011; selected counties), and Utah (2003– 2011; statewide). Reefhuis, J., Gilboa, S. M., Anderka, M., Browne, M. L., Feldkamp, M. L., Hobbs, C. A., Jenkins, M. M., Langlois, P. H., Newsome, K. B., Olshan, A. F., Romitti, P. A., Shapira, S. K., Shaw, G. M., Tinker, S. C., Honein, M. A., & the National Birth Defects Prevention Study. (2015). The National Birth Defects Prevention Study: A review of the methods. Birth Defects Research. Part A, Clinical and Molecular Teratology, 103(8), 656–669. https://doi.org/10.1002/bdra.23384 Environmental Quality Index is available for download at: https://www.epa.gov/healthresearch/environmental-quality-index-eqi. This dataset is associated with the following publication: Krajewski, A., A. Patel, C. Gray, L. Messer, C. Keeler, P. Langlois, J. Reefhuis, S. Gilboa, M. Werler, G. Shaw, S. Carmichael, W. Nembhard, T. Insaf, M. Feldkamp, K. Conway, D. Lobdell, and T. Desrosiers. Is gastroschisis associated with county-level socio-environmental quality during pregnancy?. Wiley StatsRef: Statistics Reference Online. John Wiley & Sons, Inc., Hoboken, NJ, USA, 115(18): 1758-1769, (2023).

The TROPOMI instrument onboard the Copernicus SENTINEL-5 Precursor satellite is a nadir-viewing, imaging spectrometer that provides global measurements of atmospheric properties and constituents on a daily basis. It is contributing to monitoring air quality and climate, providing critical information to services and decision makers. The instrument uses passive remote sensing techniques by measuring the top of atmosphere solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum. The operational trace gas products generated at DLR on behave ESA are: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4), together with clouds and aerosol properties. Daily observations are binned onto a regular latitude-longitude grid.

This product is generated in the scope of the DLR project INPULS. INPULS develops (a) innovative retrieval algorithms and processors for the generation of value-added products from the atmospheric Copernicus missions Sentinel-5 Precursor, Sentinel-4, and Sentinel-5, (b) cloud-based (re)processing systems, (c) improved data discovery and access technologies as well as server-side analytics for the users, and (d) data visualization services.

This product displays the ozone (O3) concentration globally (in Dobson Unit). The ozone layer in the stratosphere protects the biosphere from harmful solar ultraviolet radiation. Ozone in troposphere can pose risks to the health of humans, animals, and vegetation.