The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

THIS DATA ASSET NO LONGER ACTIVE: This is metadata documentation for the Region 7 Air Compliance Complaint Database (ACCD) which logs all air pollution complaints received by Region 7. It contains information about the complaint along with how the complaint was addressed. The Air and Waste Management Division is the primary managing entity for this database. This work falls under objectives for EPA's 2003-2008 Strategic Plan (Goal 1) for Clean Air & Global Climate Change, which are to achieve healthier outdoor air.

This data exchange allows states to submit data to the US Environmental Protection Agency's National Emissions Inventory (NEI). NEI is a national database of air emissions information including input from numerous State and local air agencies, tribes, and industry. (Status: In Transition to the Emission Inventory System)

Air quality in most areas of Washington State is protected by local clean air agencies. Tribes protect and have authority over their tribal lands. Areas are based on county boundaries except for tribes where the boundary is the reservation. Ecology's regional offices have authority in all other areas

Air pollution has a significant impact on human health and the economy. Air quality in Sydney is usually very good by international standards. For more information about air quality in Sydney, how our ventilation systems work to manage air quality within and outside the tunnels, and what has contributed to improve vehicle emissions visit the [Air Quality Portal](https://v2.communityanalytics.com.au/rms/air-quality/#). This dataset provides standardised measures of: * Carbon Monoxide * Nitrogen dioxide * Nitrogen oxides * Ozone * Sulfur dioxide * Particles < 10μm diameter * Particles < 2.5μm diameter * BTEX * Methane * Non-Methane Hydrocarbons * THC The data captured is from 01/01/2004 - 31/12/2017 and only includes sites where RMS had access to the monitor's data. More information about the sites covered can be found in the Report and associated data files.

Adequacy Analysis of Air Quality Monitoring Activities Relevant to California Thermal Enhanced Oil Recovery Fields - Final Report; November 1979

Ambient monitoring measures the status of air quality throughout the state to assess trends, compliance with federal and state air quality standards, effectiveness of control strategies and attainment plans, health effects and environmental damage; respond to citizen complaints; evaluate specific geographic or hot-spot air quality concerns; and create environmental indicators. Emission inventory is the cataloging of sources of air pollution and the emissions from those sources. Inventory data are critical to the understanding of the causes of air pollution problems and creation of appropriate solutions. Meteorological forecasting and dispersion modeling of air pollutants are essential to understanding the movement and buildup of air pollution; the carrying capacity of airsheds; the interaction of pollutants; and the location of maximum impact of sources of pollution. As of September 26, 2005 there are no longer any areas of Washington designated as "NONATTAINMENT."

Ambient monitoring measures the status of air quality throughout the state to assess trends, compliance with federal and state air quality standards, effectiveness of control strategies and attainment plans, health effects and environmental damage; respond to citizen complaints; evaluate specific geographic or hot-spot air quality concerns; and create environmental indicators. Emission inventory is the cataloging of sources of air pollution and the emissions from those sources. Inventory data are critical to the understanding of the causes of air pollution problems and creation of appropriate solutions. Meteorological forecasting and dispersion modeling of air pollutants are essential to understanding the movement and buildup of air pollution; the carrying capacity of airsheds; the interaction of pollutants; and the location of maximum impact of sources of pollution. As of September 26, 2005 there are no longer any areas of Washington designated as "NONATTAINMENT."

Tacoma-Pierce County Nonattainment Area (a.k.a. Wapato Hills-Puyallup River Valley PM2.5 Nonattainment Area)

Tacoma-Pierce County Nonattainment Area (a.k.a. Wapato Hills-Puyallup River Valley PM2.5 Nonattainment Area)

Ambient monitoring measures the status of air quality throughout the state to assess trends, compliance with federal and state air quality standards, effectiveness of control strategies and attainment plans, health effects and environmental damage; respond to citizen complaints; evaluate specific geographic or hot-spot air quality concerns; and create environmental indicators. Emission inventory is the cataloging of sources of air pollution and the emissions from those sources. Inventory data are critical to the understanding of the causes of air pollution problems and creation of appropriate solutions. Meteorological forecasting and dispersion modeling of air pollutants are essential to understanding the movement and buildup of air pollution; the carrying capacity of airsheds; the interaction of pollutants; and the location of maximum impact of sources of pollution. As of September 26, 2005 there are no longer any areas of Washington designated as "NONATTAINMENT."

The Air Quality System (AQS) database contains measurements of air pollutant concentrations from throughout the United States and its territories. The measurements include both criteria air pollutants and hazardous air pollutants.

**This information is provided by Liverpool City Council** Air Quality sensors were installed across the Liverpool CBD through the Liverpool Smart Pedestrian Project in 2018. The project was co-funded by Council and the Australian Government Smart Cities and Suburbs Grant. The sensors were designed by University of Wollongong, a partner on the project. They measure PM2.5 and PM10. Use the Go to Resource to view the data source.

In response to the BP oil spill, EPA monitored water near the spill. While emergency response data collection has ended, results continue to be available on this site.

The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

The Washington State Department of Ecology has conducted monthly water quality monitoring at hundreds of freshwater and marine water quality stations throughout the state since 1959. Ecology monitors about 80 stations each year, some on a one-year basis, some on a five-year rotation, and some are monitored continuously. This spatial data set shows the location of these monitoring stations.

Determination of Optimum Air (Gas) Injection Rate in Aerated Drilling Operations, Annual Report; May 1, 1979-April 30, 1980

THIS DATA ASSET NO LONGER ACTIVE: This is metadata documentation for the Region 7 Drycleaner Database (R7DryClnDB) which tracks all Region7 drycleaners who notify Region 7 subject to Maximum Achievable Control Technologiy (MACT) standards. The Air and Waste Management Division is the primary managing entity for this database. This work falls under objectives for EPA's 2003-2008 Strategic Plan (Goal 4) for Healthy Communities & Ecosystems, which are to reduce chemical and/or pesticide risks at facilities.

Envirofacts integrates information from a variety of EPA's environmental databases. Each of these databases contains information about facilities that are required to report activity to a state or federal system. Using this API, you can retrieve informati

To improve public health and the environment, the EPA collects information about facilities or sites subject to environmental regulation. This page provides state comma separated value (CSV) files containing key information of all facilities and sites within the Facility Registry System (FRS). Each state zip file contains a single CSV file of key facility-level information including facility name and address, geospatial information, EPA and State programs the facility is associated with, and facility industry classifications (SIC and NAICS codes and descriptions). Complete documentation of the CSV file is included within the zip archive. Internet Archive URL: https://web.archive.org/web/*/https://www.epa.gov/enviro/epa-frs-facilities-state-single-file-csv-download

The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive source of data on characteristics of almost all electric power generated in the United States. This data includes capacity; heat input; net generation; associated air emissions of nitrogen oxides, sulfur dioxide, carbon dioxide, methane, nitrous oxide and mercury; emissions rates; resource mix (i.e., generation by fuel type); nonbaseload calculations; line losses (a.k.a., grid gross loss); and many other attributes. The data is provided at the unit and generator levels, as well as, aggregated to the plant, state, balancing authority, eGRID subregion, NERC region, and US levels. As of January 2023, the available editions of eGRID contain data for years 2021, 2020, 2019, 2018, 2016, 2014, 2012, 2010, 2009, 2007, 2005, 2004, and 1996 through 2000.

A comprehensive source of data on the environmental characteristics of almost all electric power generated in the United States. These environmental characteristics include: air emissions for nitrogen oxides, sulfur dioxide, carbon dioxide, methane, and nitrous oxide; emissions rates; net generation; resource mix eGRID data can be used for the following activities: greenhouse gas registries and inventories, carbon footprints, consumer information disclosure, emission inventories and standards, power market changes, and avoided emission estimates. Internet Archive URL: https://web.archive.org/web/*/https://epa.gov/energy/emissions-generation-resource-integrated-database-egrid

EPA-collected information about facilities or sites subject to environmental regulation. Data-set is a national level CSV file containing key information of all facilities and sites within the Facility Registry System (FRS). Data points include: facility name and address, geospatial information, EPA and State programs the facility is associated with, and facility industry classifications (SIC and NAICS codes and descriptions).

EPA Regional data downloads in KML format (.kmz) -- 10 US regions Information about facilities or sites subject to environmental regulation. Envirofacts integrates information from a variety of EPA's environmental databases. Each of these databases contains information about facilities that are required to report activity to a state or federal system.

Experimental Determination of Solids Friction Factors and Minimum Volumetric Requirements in Air or Gas Drilling, Topical Report; August 1981

Farming Systems Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Morris, Minnesota Tillage is decreasing globally due to recognized benefits of fuel savings and improved soil health in the absence of disturbance. However, a perceived inability to control weeds effectively and economically hinders no-till adoption in organic production systems in the Upper Midwest, USA. A strip-tillage (ST) strategy was explored as an intermediate approach to reducing fuel use and soil disturbance, and still controlling weeds. An 8-year comparison was made between two tillage approaches, one primarily using ST the other using a combination of conventional plow, disk and chisel tillage [conventional tillage (CT)]. Additionally, two rotation schemes were explored within each tillage system: a 2-year rotation (2y) of corn (Zea mays L.), and soybean (Glycine max [L.] Merr.) with a winter rye (Secale cereale L.) cover crop; and a 4-year rotation (4y) of corn, soybean, spring wheat (Triticum aestivum L.) underseeded with alfalfa (Medicago sativa L.), and a second year of alfalfa. These treatments resulted in comparison of four main management systems CT-2y, CT-4y, ST-2y and ST-4y, which also were managed under fertilized and non-fertilized conditions. Yields, whole system productivity (evaluated with potential gross returns), and weed seed densities (first 4 years) were measured. Across years, yields of corn, soybean and wheat were greater by 34% or more under CT than ST but alfalfa yields were the same. Within tillage strategies, corn yields were the same in 2y and 4y rotations, but soybean yields, only under ST, were 29% lower in the fertilized 4y than 2 yr rotation. In the ST-4y system yields of corn and soybean were the same in fertilized and non-fertilized treatments. Over the entire rotation, system productivity was highest in the fertilized CT-2y system, but the same among fertilized ST-4y, and non-fertilized ST-2y, ST-4y, and CT-4y systems. Over the first 4 years, total weed seed density increased comparatively more under ST than CT, and was negatively correlated to corn yields in fertilized CT systems and soybean yields in the fertilized ST-2y system. These results indicated ST compromised productivity, in part due to insufficient weed control, but also due to reduced nutrient availability. ST and diverse rotations may yet be viable options given that overall productivity of fertilized ST-2y and CT-4y systems was within 70% of that in the fertilized CT-2y system. Closing the yield gap between ST and CT would benefit from future research focused on organic weed and nutrient management, particularly for corn.

Fentress County Emergency Service Mapping ApplicationIncludes maps for,911 ServicesEMA DirectorsHAZMATDrug Free ZonesHelicopter BasesMap was produced by Chris Crabtree, IT Director Fentress County Emergency Communications District E-911Chris Crabtree | IT DirectorFentress County E-911116 Justice Center DrJamestown, TN 38556ccrabtree@fentresscounty911.org

The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

The Air Quality API allows you to request air quality data for a specific location including: more than 70 AQ indexes, pollutants, and health recommendations. It covers over 100 countries with a resolution of 500 x 500 meters. Use of the API requires registration on the Google Cloud platform and is charged according to the volume of requests. At the time of writing (October 2023), there is no free tier.

The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

ICAO has developed a methodology to calculate the carbon dioxide emissions from air travel for use in offset programmes. The methodology applies the best publicly available industry data to account for various factors such as aircraft types, route-specific data, passenger load factors and cargo carried. The ICAO Carbon Emissions Calculator allows passengers to estimate the emissions attributed to their air travel. It is simple to use and requires only a limited amount of information from the user. ICEC is the only internationally approved tool to estimate carbon emissions from air travel.

This file contains the road segments from FHWA's HPMS dataset with estimates of the cost of air pollution from the traffic on that segment. The cost of air pollution is estimated using a combination of traffic volumes and speeds from FHWA's HPMS, the emission rate of PM2.5 from EPA's MOVES, the dispersion rate and pollutant concentration from EPA's AERMOD, the per unit health costs from a series of studies cited in EPA's COBRA, and the population affected from the US Census ACS 2019. The resulting cost per road segment is transformed into cost per 1/10 mile length of roadway and binned into 7 different categories to reduce the file size. For more information on this data please visit: https://maps.dot.gov/fhwa/iit/

This file contains the road segments from FHWA's HPMS dataset with estimates of the cost of air pollution from the traffic on that segment. The cost of air pollution is estimated using a combination of traffic volumes and speeds from FHWA's HPMS, the emission rate of PM2.5 from EPA's MOVES, the dispersion rate and pollutant concentration from EPA's AERMOD, the per unit health costs from a series of studies cited in EPA's COBRA, and the population affected from the US Census ACS 2019. The resulting cost per road segment is transformed into cost per 1/10 mile length of roadway and binned into 7 different categories to reduce the file size. For more information on this data please visit: https://maps.dot.gov/fhwa/iit/

See the Hadley Centre for more details. The air temperature page is from monthly station temperature time series. A version that is variance corrected (CRUTEM3V) is available. The technique for the variance adjusted dataset can be found at Jones et. al (2001). https://web.archive.org/web/*/https://esrl.noaa.gov/psd/data/gridded/data.crutem3.html

This dataset contains patronage statistics for all intrastate air services to and from Sydney airport. This data is collected quarterly under the Air Transport Regulation 2016. The patronage data dates back to 1996/97.

Annual air trends report in the form of an interactive web application. The report features a suite of visualization tools that allow the user to: -Learn about air pollution and how it can affect our health and environment. -Compare key air emissions to gross domestic product, vehicle miles traveled, population, and energy consumption back to 1970. -Take a closer look at how the number of days with unhealthy air has dropped since 2000 in 35 major US cities. -Explore how air quality and emissions have changed through time and space for each of the common air pollutants. -Check out air trends where you live. Users will also be able to share this content across social media, with one-click access to Facebook, Twitter, Pinterest, and other major social media sites.

Photochemical Assessment Monitoring Stations (PAMS). This file provides information on the numbers and distribution (latitude/longitude) of air monitoring sites which measure ozone precursors (approximately 60 volatile hydrocarbons and carbonyl), as required by the 1990 Clean Air Act Amendments, in areas with persistently high ozone levels (mostly large metropolitan areas). In these areas, the States have established ambient air monitoring sites which collect and report detailed data for volatile organic compounds, nitrogen oxides, ozone and meteorological parameters. This file displays 199 monitoring sites reporting measurements for 2010. A wide range of related monitoring site attributes is also provided.

To further transparency and openness, DOE established a policy to document and post online all CX determinations involving classes of actions listed in Appendix B to Subpart D of the DOE NEPA regulations (10 CFR Part 1021). This raw data set contains CX determinations required to be posted under the policy, and also some for which documentation and posting are optional, i.e., determinations involving classes of actions listed in Appendix A or made before the policy's effective date of November 2, 2009. The data set includes information by state, CX applied, date range, DOE Program, Field, or Site Office, keyword, and whether the CX determination is for a project related to the American Recovery and Reinvestment Act (Recovery Act or ARRA) of 2009. The web address to the CX determination documents are provided. This data set will be updated approximately monthly. See www.gc.doe.gov/NEPA/categorical_exclusion_determinations.htm for information on DOE CX procedures. For further information on DOE's NEPA compliance program, see www.gc.energy.gov/nepa or email: askNEPA@hq.doe.gov.

This 30 minute Sensible, Latent and Ground Heat Flux Composite is one of two surface-layer flux data sets provided in the Atmospheric Radiation Measurement(ARM)/Global Energy and Water Cycle Experiment (GEWEX) Continental-Scale International Project (GCIP) Near Surface Observation Data Set - 1997 (NESOB-97). This Sensible, Latent and Ground Heat Flux composite was formed from three data sources: the ARM Southern Great Plains (SGP) Clouds and Radiation Testbed (CART) Energy Balance/Bowen Ratio (EBBR) sites, the National Oceanic and Atmospheric Administration (NOAA)/Atmospheric Turbulence and Diffusion Division (ATDD) Little Washita Watershed site, and the ARM SGP Eddy Correlation (ECOR) sites. Data from 14 ARM/EBBR stations, 1 NOAA/ATDD station, and 8 ARM/ECOR stations were merged to form this composite. The University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS) did not do any quality control on the data set. Heat flux sensors consist of a differential temperature sensor which measures heat flow. Heat flux is a vector quantity of energy flowing through a 1 meter square surface in one second. Sensible heat flux is the transfer of sensible heat between the surface and the air, or vice versa. Latent heat flux is the transfer of latent heat (heat released or absorbed by water) between the surface and the air, or vice versa. Ground, or soil, heat flux is the transfer of sensible heat in the soil, either toward the surface or away from the surface. The Little Washita site records only 1 soil heat flux value. The EBBR sites record soil heat flux values from 5 different sensors. The ARM soil sensors are located in a half-circle approximately 2 meters in diameter under the net radiometer, which extends to the south about 1 meter from the EBBR frame. The soil conditions at the EBBR sites are varied from very sandy soil to very clay-laden soil. However, all of the sensors for one particular EBBR site are in the same soil type. Information on the soil characteristics at each of the ARM Soil Water and Temperature System (SWATS) sites (which are located nearby the ARM EBBR sites) is available as part of the ARM/GCIP NESOB-97. (These include the "Organic Carbon and Matter", "Soil Texture", "Parameters for Soil Water Retention Models", "Bulk Density", Particle Size", and "Soil Water Retention" data sets). The EBBR sites also record Bowen Ratio, home_15 and home_30 values, as well, whereas the Little Washita site does not. Since this is a composite data set, only the first 3 fields of data from the Little Washita site will have values, while the rest of the parameters on a line will always be missing. Missing values are -999.99999. (NOAA)/Atmospheric Turbulence and Diffusion Division (ATDD) Little Washita, Oklahoma long term flux monitoring site. This composite was developed by the merging of the computed 30-minute averaged values of Net Radiation as derived by University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS) from the 20-second values provided by ARM for its SIROS and SIRS stations, and the 30-minute averaged values of Incoming/Outgoing PAR and Net Radiation as provided by NOAA/ATDD for its Little Washita station. UCAR/JOSS computed standard deviations for the averaged data when at least 15 observations were available within the 30-minute averaging interval. JOSS did not do any other quality control on the data set. The NESOB-97 Net Radiation and PAR Composite Dataset contains eight metadata parameters and nine data parameters and flags. The metadata parameters describe the date, time, network, station and location at which the data were collected. Data values are valid for the 30 minutes preceeding the time of observation. All times are UTC. The data parameters have an associated QC flag but UCAR/JOSS does not Quality Control the data at the present time. The Quality Control flag is set to "U" for "Unchecked", unless the datum is missing, in which case the flag is set to "M". Note that the SIROS stations were changed over to SIRS in August 1997.

The Scribe Database Collection includes 14 databases containing data from the Deepwater Horizon (DWH) Oil Spill Event Response Phase. These databases are the work of Federal agencies, state environmental management agencies and BP and its contractors. The types of information include locations, descriptions, and analysis of water, sediment, oil, tar, dispersant, air and other environmental samples. Note: the water and sediment chemistry data from these databases has been extracted by cruise and archived separately in association with the other cruise-related data accessions. See the DWH Ocean In Situ Data page for access to those accessions.

The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

**Smart Cities, Smart Liverpool, Smart Pedestrian Project** Thousands of people walk through the Liverpool city centre every day and, through the Smart Pedestrian Project, the paths they take will help shape the city’s future. Liverpool City Council is counting pedestrian and vehicle movements around the city centre, collecting data from smart devices and camera-counting technology. The data is stripped of any identification and relayed and collected for analysis by researchers from the University of Wollongong. Liverpool City Council now uses this data to inform planning decisions and respond to the rising number of residents and workers making their way around the city centre every day. Liverpool City Council secured an Australian Government Smart Cities and Suburbs grant to jointly fund the project. Liverpool City Council worked with IT Integration Company Meshed and the University of Wollongong to deliver the technology. Meshed supplied the Low Power Wide Area Network and developed a Wi-Fi smart device counter. The university developed the people and vehicle-counting technology and data analysis. The technology makes use of the city’s existing CCTV cameras to capture images. No images are transmitted over the network, so there is no risk to privacy. This dataset lists the API endpoint URLs to retrieve data for the smart pedestrian project. A dashboard to view the data can be found at [https://pavo.its.uow.edu.au/](https://pavo.its.uow.edu.au/) **Please read the API documentation as you need to provide the parameters to make any API calls.** An example has been provided below that lists all the visual sensors. The API is divided in two sections: sensors, and readings (data gathered by sensors). Unless otherwise noted: \* all datetimes are ISO formatted \* all responses are JSON-formatted

Paper and data describing conditions the sampling and chemistry of air-sampling sites upon the Marcellus Shale. From the site: "Pennsylvania Department of Environmental Protection (PA DEP) reports findings from a short-term air quality sampling program in the southwest region of PA during a five-week period in 2010. Sampling took place in Greene and Washington counties while background air samples were collected in Washington County. Detection of methane, ethane, propane, and benzene in air samples (compounds for which health standards have not been set)."

The Scottish Pollutant Release Inventory (SPRI) is a Pollutant Release and Transfer Register (PRTR) and has the primary purpose of making publicly available officially reported annual releases of specified pollutants to air and water from SEPA-regulated industrial facilities. It also provides information on off-site transfers of waste and waste-water from these facilities.

A toxicity/tissue residue database for aquatic organisms exposed to inorganic and organic chemicals. This database is a resource for use in the systematic investigation of hypotheses related to effect/residue relationships.

To further transparency and openness, DOE established a policy to document and post online all CX determinations involving classes of actions listed in Appendix B to Subpart D of the DOE NEPA regulations (10 CFR Part 1021). The database contains CX determinations required to be posted under the policy, and also some for which documentation and posting are optional, i.e., determinations involving classes of actions listed in Appendix A or made before the policy's effective date of November 2, 2009. The database may be searched by state, CX applied, date range, DOE Program, Field, or Site Office, keyword, and whether the CX determination is for a project related to the American Recovery and Reinvestment Act (Recovery Act or ARRA) of 2009. Links to CX determination documents are provided. The database will be updated approximately monthly. See http://www.gc.doe.gov/NEPA/categorical_exclusion_determinations.htm for information on DOE CX procedures. For further information on DOE's NEPA compliance program, see http://www.gc.energy.gov/nepa or email: askNEPA@hq.doe.gov.

The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

THIS DATA ASSET NO LONGER ACTIVE: This is metadata documentation for Web Air Permits in Region 7 (WAP R7), a Lotus Notes application that once tracked comment periods on air permits. This work fell under objectives for EPA's 2006-2011 Strategic Plan (Goal 5) for Compliance and Environmental Stewardship which are to achieve environmental protection through improved compliance and environmental stewardship (i.e., monitoring and enforcement). It was determined that this application was no longer used and was terminated on 5/22/2013. Data entries relating to air permits is now entered into an Excel spreadsheet and it is unclear if the original WAP database can be found.