There are twelve Bureau of Indian Affairs Regions: Alaska, Eastern, Eastern Oklahoma, Great Plains, Midwest, Navajo, Northwest, Pacific, Rocky Mountain, Southern Plains, Southwest, Western. The BIA RGCs Function as the regional GIS liaisons for Tribal GIS programs.Employees of Federally recognized Tribes,BIA Employees, Federal agencies seeking geospatial resources concerning Federally recognized Tribesshould contact the BIA-RGC for regionally specific geospatial resources.

Delivery of program services to the federally recognized tribes and individual Indians and Alaska Natives, whether directly or through contracts, grants or compacts, is administered by the twelve regional offices and 83 agencies that report to the BIA Deputy Director-Field Operations, located in Washington, D.C. There is a regional office headed by a Regional Director who is responsible for all Bureau activities within a defined geographical area except education, law enforcement and functions of an administrative nature for each region. The typical Regional Office includes a Deputy Regional Director for Trust Services and Deputy Regional Director for Indian Services. The Deputy Regional Director for Trust Services oversees a staff of specialists responsible for natural resources (water resources, forestry and fire, irrigation and safety of dams), agriculture, (farm, pasture, and range), fish, wildlife and parks and real estate services (land acquisition and disposal land title records office, probate, rights-of-way, and lease/permit). The Deputy Regional Director for Indian Services oversees a staff of specialists responsible for transportation (planning, design, construction, and maintenance) and Indian services (tribal governments, human services, housing improvement).

The Bureau of Indian Affairs (BIA) Bison Project will serve a variety of purposes that are designed to uphold the best of Tribal bison herd expansion interests, including a focus on ecosystem restoration through bison conservation. The Bison Project will foster practices that are traditional and culturally attentive to the historical coevolved relationship with bison to support the Tribe’s own self-determined well-being. Furthermore, the projects will work to foster the intent of the Department of the Interior Secretary’s Order 3410, the purpose of which is to restore wild and healthy populations of American bison and the prairie grassland ecosystem through collaboration among the Department’s Bureaus and partners such as other Federal agencies, states, Tribes, and landowners using the best available science and Indigenous Knowledge. The analysis in this dashboard is based on data provided to the BIA from a multitude of resources including but not limited to the BIA, Federally Recognized Tribes, and partner organizations. All data was current as of time of collection for this project, data will be updated as determined by the BIA. Data displayed within this application can vary at different times of the year as external factors may affect herd sizes and will not reflect changes in real time. Herd numbers can also decrease between data updates due to range management practices performed on the local level, not managed by the BIA. The Bison Program Application’s data is made up of a polygon feature layer and a point feature layer hosted on the BIA online portal. The Bison Polygon layer features the geospatial extent of known Bison ranches as provided to the BIA. Tribes without any GIS data on ranch boundaries will only be featured in the Bison points feature layer. Both feature layers contain data including, name of Tribe, herd size, rangeland acres, and a link to their Bison website (if available). The Bison Program Application will focus on ecosystem restoration through bison conservation and expansion and improved management of existing herds on Tribal trust lands, individual Indian allotment lands, or in areas managed by Tribes through treaties or agreements. The Bison Project will focus on bison conservation and expansion and improved management of existing herds on Tribal trust resources and describe the role of Tribal bison on ecosystem restoration on Tribal landscapes and altered Tribal environmental conditions. This can cover bison as indicator keystone species on agricultural pasture, grassland, and rangeland settings. The Bison Program Application also features data from partner organizations who focus on promoting the restoration of Bison. These organizations include The Nature Conservancy (TNC). For more information on data contributors, follow the links below. The feature layers used in this application from partner organizations are not managed by the BIA. The Nature Conservancy (TNC): https://www.nature.org/en-us/. Disclaimer: The analysis in this dashboard is based on the analysis of available data provided to the BIA from a multitude of resources including but not limited to the BIA, Federally Recognized Tribes, and partner organizations. All data was current as of time of collection for this project, data will be updated as determined by the BIA. Data displayed within this application can vary at different times of the year as external factors may affect available foliage due to weather or other uncontrollable circumstances. The number of Bison within herds may also change throughout the year and might not be accounted for within this application. Herd numbers can also decrease between data updates due to outside factors or range management practices performed on the local level, not managed by the BIA.This application also uses data provided from other sources such as The Nature Conservancy (TNC). This data is owned and maintained by their respective owners. These data sources have been developed from the best available sources. Although efforts have been made to ensure that the data are accurate and reliable, errors and variable conditions originating from source documents and/or the translation of information from source documents to the systems of record continue to exist. Users must be aware of these conditions and bear responsibility for the appropriate use of the information with respect to possible errors, scale, resolution, rectification, positional accuracy, development methodology, time period, environmental and climatic conditions and other circumstances specific to these data. The user is responsible for understanding the accuracy limitations of the data provided herein. The burden for determining fitness for use lies entirely with the user. The user should refer to the accompanying metadata notes for a description of the data and data development procedures.

United States Bureau of Indian Affairs lands within the Rio Grande River Basin. The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

This dataset was updated April, 2024.

This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.

Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.

The current process for compiling the data sources includes:

* Clipping input datasets to the California boundary

* Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc)

* Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California.

* Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only.

* Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs)

* In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD

* As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.

In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset.

Data Sources:

* GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf

* US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore

* Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases

* Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov

* Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.html

Data Gaps & Changes:

Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership

This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves:

In Figure 4 on page 20 of the INDIAN AFFAIRS NATIONAL ENVIRONMENTAL POLICY ACT (NEPA) GUIDEBOOK 59 IAM 3-H DIVISION OF ENVIRONMENTAL AND CULTURAL RESOURCES MANAGEMENT AUGUST 2012 lists the principle components of the environment to consider; The Human Environment (1) Land Resources (a) Topography (land forms, drainage, gradients) (b) Soils (types, characteristics) (c) Geology, Mineral and Paleontological Resources (2) Water Resources (surface and ground; quality, quantity, use, rights) (3) Air (quality/achievement, visibility) (4) Living Resources (a) Wildlife (terrestrial, aquatic, threatened/endangered) (b) Vegetation (terrestrial, aquatic, riparian, threatened/endangered) (c) Ecosystems and Biological Communities (d) Agriculture (livestock, crops, prime and unique farmland) (5) Cultural Resources (a) Historic and Archeological Resources (b) Cultural, Sacred and Traditional Cultural Properties (6) Socioeconomic Conditions (a) Employment and Income (b) Demographic Trends (c) Lifestyle and Cultural Values (rural, urban) (d) Community Infrastructure (public services, utilities) (e) Environmental Justice (7) Resource Use Patterns (a) Hunting, Fishing, Gathering (b) Timber Harvesting (c) Agriculture (d) Mineral Extraction (e) Recreation (f) Transportation Networks (g) Land Use Plans (8) Other Values (a) Wilderness (b) Noise and Light (c) Visual (d) Public Health and Safety (e) Climate Change (Greenhouse gases). (f) Indian Trust Assets (g) Hazardous materials

This web application contains layers to aid in exploring these issues and allows the user to add layers that may not be included. It also lets the user create a map to print. This application is not to be used alone and does not replace actual field inspections but is only a guide to help intial response.

This downloadable data package consists of location and facility identification information from EPA's Facility Registry Service (FRS) for all sites that are available in the FRS individual feature layers. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites ; Air Facility System (AFS) : stationary sources of air pollution ; ICIS-AIR (AIR) : stationary sources of air pollution; Bureau of Indian Affairs (BIA) : schools data on Indian land; Base Realignment and Closure (BRAC) facilities; Clean Air Markets Division Business System (CAMDBS) : market-based air pollution control programs; Comprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sites; Integrated Compliance Information System (ICIS) : integrated enforcement and compliance information; National Compliance Database (NCDB) : Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA); National Pollutant Discharge Elimination System (NPDES) module of ICIS : NPDES surface water permits; Radiation Information Database (RADINFO) : radiation and radioactivity facilities; RACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirements; Resource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous waste; Toxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicals; Emission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emitters; countermeasure (SPCC) and facility response plan (FRP) subject facilities; Electronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emitters; Emissions and; Generation Resource Integrated Database (EGRID) : power plants. The Facility Registry Service (FRS) identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the FRS facilities that link to the programs listed above once the program data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. Full FGDC metadata records for each layer are contained in the database.

Dataset Name: END Noise Data Round 2 - 2012Data Owner: DAERAContact: Air and Environmental Quality Unit amy.holmes@daera-ni.gov.ukSource URL: https://gis.daera-ni.gov.uk/arcgis/apps/MapSeries/index.html?appid=0bf4f42018224494b071b5dcd0ce4e56Uploaded to SPACE Hub: 12/06/23Update Frequency: Every 5 yearsScale Threshold: N/AProjection : Irish GridFormat: Esri Feature Layer (Hosted) Vector PolygonNotes: This data is a product of the strategic noise mapping analysis undertaken by DAERA Northern Ireland in 2012 to meet the requirements of the EU Environmental Noise Directive (Directive 2002/49/EC) and Environmental Noise Regulations (Northern Ireland) 2006. NOISE SOURCESAGGLOMERATION ROAD (agg-road) Data indicating the level of noise according to the strategic noise mapping of major road sources within areas with a population of at least 100,000 people (Belfast Metropolitan Urban Area agglomeration).AGGLOMERATION RAIL (agg_rail) Data indicating the level of noise according to the strategic noise mapping of major rail sources withinINDUSTRY (agg_ind) Data indicating the level of noise according to the strategic noise mapping of all Part A industrial activities as defined in Schedule 1 of the Pollution Prevention and Control Regulations (Northern Ireland) 2003 (as amended) and all ports within the Belfast Metropolitan Urban Area (BMUA) agglomeration.AGGLOMERATION AIRPORT (BCA) Data indicating the level of noise according to the strategic noise mapping of airport sources within areas with a population of at least 100,000 people (Belfast Metropolitan Urban Area agglomeration). In Northern Ireland, the agglomeration airport is George Best Belfast City Airport.CONSOLIDATED (con) Data indicating the level of noise according to the strategic noise mapping of all noise sources within the Belfast Metropolitan Urban Area (BMUA) agglomeration.MAJOR AIRPORT (BIA) Data indicating the level of noise according to the strategic noise mapping of airport sources withmore than 50,000 air traffic movements per year. In Northern Ireland, the major airport isBelfast International Airport (BIA).MAJOR RAIL (mrail) Data indicating the level of noise according to the strategic noise mapping along NI Translink routes with more than 30,000 train passages per year.MAJOR ROAD (mroad) Data indicating the level of noise according to the strategic noise mapping along major traffic routes withmore than 3,000,000 vehicle passages per year. NOISE INDICATORS Lden (lden) The LAeq over the period 0000-2400, but with the evening values (1900-2300) weighted by the addition of 5 dB(A), and the night values (2300-0700) weighted by the addition of 10dB(A)Lday (lday) The LAeq over the period 0700-1900, local time (for strategic noise mapping this is an annual average)Levening (leve) The LAeq over the period 1900-2300, local time (for strategic noise mapping this is an annual average)Lnight (lngt) The LAeq over the period 2300-0700, local time (for strategic noise mapping this is an annual average)LAeq,6h (l6h) The LAeq over the period 2400-0600, local time (for strategic noise mapping this is an annual average)LAeq,16h (l16h) The LAeq over the period 0700-2300, local time (for strategic noise mapping this is an annual average)LAeq,18h (l18h) The LAeq over the period 0600-2400, local time (for strategic noise mapping this is an annual average)-------------------------------------------------------------------------------------------For informations on the noise data and modelling methods used, please refer to the DAERA Northern Ireland website:https://www.daera-ni.gov.uk/services/noise-mapsContact details:Amy Holmes (amy.holmes@daera-ni.gov.uk)Air and Environmental Quality Unit - Regulatory and Natural Resources Policy DivisionDepartment of Agriculture, Environment and Rural Affairs (DAERA NI)

This layer may be used for high level understanding of potential facilities with hazardous materials. The information in the EPA Facility Registry Service may be used to track sites, facilities, or areas of environmental interest. This is a view layer that references the original, but is symbolized more clearly and includes labels. ZOOM IN. THIS LAYER IS NOT A SUBSTITUTE for Tier II Facility data, that information should be sought at the State Level from contacts found here https://www.epa.gov/epcra/state-tier-ii-reporting-requirements-and-proceduresOriginal Layer https://www.arcgis.com/home/item.html?id=cdff193a3e3743a5bc770e2743f215b3This downloadable data package consists of location and facility identification information from EPA's Facility Registry Service (FRS) for all sites that are available in the FRS individual feature layers. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites Air Facility System (AFS) : stationary sources of air pollutionICIS-AIR (AIR) : stationary sources of air pollutionBureau of Indian Affairs (BIA) : schools data on Indian landBase Realignment and Closure (BRAC) facilitiesClean Air Markets Division Business System (CAMDBS) : market-based air pollution control programsComprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sitesIntegrated Compliance Information System (ICIS) : integrated enforcement and compliance informationNational Compliance Database (NCDB) : Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA)National Pollutant Discharge Elimination System (NPDES) module of ICIS : NPDES surface water permitsRadiation Information Database (RADINFO) : radiation and radioactivity facilitiesRACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirementsResource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous wasteToxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicalsEmission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emittersCountermeasure (SPCC) and facility response plan (FRP) subject facilitiesElectronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emittersEmissions and; Generation Resource Integrated Database (EGRID) : power plantsThe Facility Registry Service (FRS) identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the FRS facilities that link to the programs listed above once the program data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/frs. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. Full FGDC metadata records for each layer are contained in the database.

Dataset Name: END Noise Data Round 3 - 2017Data Owner: DAERAContact: Air and Environmental Quality Unit amy.holmes@daera-ni.gov.ukSource URL: https://gis.daera-ni.gov.uk/arcgis/apps/MapSeries/index.html?appid=0bf4f42018224494b071b5dcd0ce4e56Uploaded to SPACE Hub: 12/06/23Update Frequency: Every 5 yearsScale Threshold: N/AProjection : Irish GridFormat: Esri Feature Layer (Hosted) Vector PolygonNotes: This data is a product of the strategic noise mapping analysis undertaken by DAERA Northern Ireland in 2017 to meet the requirements of the EU Environmental Noise Directive (Directive 2002/49/EC) and Environmental Noise Regulations (Northern Ireland) 2006. NOISE SOURCES AGGLOMERATION ROAD (agg-road) Data indicating the level of noise according to the strategic noise mapping of major road sources within areas with a population of at least 100,000 people (Belfast Metropolitan Urban Area agglomeration).AGGLOMERATION RAIL (agg_rail) Data indicating the level of noise according to the strategic noise mapping of major rail sources withinINDUSTRY (agg_ind) Data indicating the level of noise according to the strategic noise mapping of all Part A industrial activities as defined in Schedule 1 of the Pollution Prevention and Control Regulations (Northern Ireland) 2003 (as amended) and all ports within the Belfast Metropolitan Urban Area (BMUA) agglomeration.AGGLOMERATION AIRPORT (BCA) Data indicating the level of noise according to the strategic noise mapping of airport sources within areas with a population of at least 100,000 people (Belfast Metropolitan Urban Area agglomeration). In Northern Ireland, the agglomeration airport is George Best Belfast City Airport. CONSOLIDATED (con) Data indicating the level of noise according to the strategic noise mapping of all noise sources within the Belfast Metropolitan Urban Area (BMUA) agglomeration.MAJOR AIRPORT (BIA) Data indicating the level of noise according to the strategic noise mapping of airport sources with more than 50,000 air traffic movements per year. In Northern Ireland, the major airport is Belfast International Airport (BIA).MAJOR RAIL (mrail) Data indicating the level of noise according to the strategic noise mapping along NI Translink routes with more than 30,000 train passages per year.MAJOR ROAD (mroad) Data indicating the level of noise according to the strategic noise mapping along major traffic routes with more than 3,000,000 vehicle passages per year. NOISE INDICATORS Lden (lden) The LAeq over the period 0000-2400, but with the evening values (1900-2300) weighted by the addition of 5 dB(A), and the night values (2300-0700) weighted by the addition of 10dB(A) Lday (lday) The LAeq over the period 0700-1900, local time (for strategic noise mapping this is an annual average)Levening (leve) The LAeq over the period 1900-2300, local time (for strategic noise mapping this is an annual average)Lnight (lngt) The LAeq over the period 2300-0700, local time (for strategic noise mapping this is an annual average)LAeq,6h (l6h) The LAeq over the period 2400-0600, local time (for strategic noise mapping this is an annual average)LAeq,16h (l16h) The LAeq over the period 0700-2300, local time (for strategic noise mapping this is an annual average)LAeq,18h (l18h) The LAeq over the period 0600-2400, local time (for strategic noise mapping this is an annual average) ------------------------------------------------------------------------------------------- For informations on the noise data and modelling methods used, please refer to the DAERA Northern Ireland website:https://www.daera-ni.gov.uk/services/noise-mapsContact details:Amy Holmes (amy.holmes@daera-ni.gov.uk)Air and Environmental Quality Unit - Regulatory and Natural Resources Policy DivisionDepartment of Agriculture, Environment and Rural Affairs (DAERA NI)