Found 221 datasets matching "ground level ozone".
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This link provides the description and the data files that were used to create the tables and figures in the product. This dataset is associated with the following publication: Kang, D., R....
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This data set consists of hourly measurements of near ground-level ozone collected from Arctic locations. These data consist of a collection of data from separate sites that have been quality...
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The Nonattainment Area - 8 hr ozone (2015) dataset was updated on November 30, 2025 by the Environmental Protection Agency (EPA) and is part of the U.S. Department of Transportation (USDOT)/Bureau...
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The Nonattainment Area - 8 hr ozone (2008) dataset was updated on November 30, 2025 by the Environmental Protection Agency (EPA) and is part of the U.S. Department of Transportation (USDOT)/Bureau...
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The Nonattainment Area - 8 hr Ozone (1997) dataset was updated on November 30, 2025 by the Environmental Protection Agency (EPA) and is part of the U.S. Department of Transportation (USDOT)/Bureau...
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Global 3-Year Running Mean Ground-Level Nitrogen Dioxide (NO2) Grids from GOME, SCIAMACHY and GOME-2
The Global 3-Year Running Mean Ground-Level Nitrogen Dioxide (NO2) Grids from GOME, SCIAMACHY and GOME-2 represent a series of three-year running mean grids (1996-2012) of ground level NO2 that...
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This data set contains continuous UV photometric data of surface level ozone collected at 6m above ground level. Data records consist of UTC time, date, and processed ozone mixing ratio (parts per...
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This dataset contains ozone measurements from the Ozonesonde instrument in Antarctica, Hawaii, and Fiji taken during the Atom-4 campaign. The Electrochemical Concentration Cell (ECC) Ozonesonde is...
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Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable...
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DSCOVR_EPIC_L2_TO3_v03 is Level2 Total Ozone derived from the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) using Level 1b version 3 inputs and version 3 ozone...
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LISTOS_Ground_Other_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) ground site data collected at a collection of ground sites during the LISTOS field campaign. This product is a...
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Ground-level ozone is measured at CASTNET sites following the guidelines in 40 Code of Federal Regulations (CFR) Parts 50 and 58. Continuous measurements are averaged to hourly concentrations....
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Ozone exceedance data for national parks with on-site monitoring. This data set documents the number of days when the ozone standard was exceeded from April to October, 2018. The National Ambient...
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This dataset includes photochemical air quality modeling files for simulations of fire impacts on ground-level ozone cocnentrations in the U.S. during the summer of 2023. A data dictionary...
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LISTOS_Ground_QueensCollege_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) ground site data collected at the Queens College ground site during the LISTOS field campaign. This...
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LISTOS_Ground_FlaxPond_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) ground site data collected at the Flax Pond ground site during the LISTOS field campaign. This product is a...
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LISTOS_Ground_Hammonasset_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) ground site data collected at the Hammonasset ground site during the LISTOS field campaign. This product...
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LISTOS_Ground_Bayonne_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) ground site data collected at the Bayonne ground site during the LISTOS field campaign. This product is a...
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LISTOS_Ground_BronxPfizer_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) ground site data collected at the Bronx Pfizer ground site during the LISTOS field campaign. This product...
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The MODIS/Aqua Surface Reflectance Daily L2G Global 500m SIN Grid Near Real Time (NRT) product, short name MYD09GHK, is a seven-band product computed from the MODIS Level 1B land Bands 1-7. The...
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