Latest update: June 2025 This data is published on behalf of the Rural Payments Agency. For further information about this data contact open.data@rpa.gov.uk. Environmental Stewardship Scheme (England) options points derived from Genesis tables. More information about the scheme and guidance can be viewed here.Please note: This is a legacy scheme, and as a result there are no longer any Entry Level Stewardship (ELS) only agreements or Organic Entry Level Stewardship (OELS) only agreements in this dataset as ELS and OELS where only 5 year agreements. Full metadata can be viewed on data.gov.uk.

IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on July 30th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here Stations containing prime movers, electric generators, and auxiliary equipment for converting mechanical, chemical into electric energy with an installed capacity of 1 Megawatt or more generated from renewable energy, including biomass, hydroelectric, pumped-storage hydroelectric, geothermal, solar, wind, and tidal.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Maintenance and Update Frequency: As Needed For more information visit Renewable Energy Power Plants

NOTE: Due to the higher resolution of this data, it may be slow to load or require the user to zoom to a smaller area of interest.Date of Images:Post-Event: 6/20/2025, 6/19/2025, 6/18/2025Pre-Event: 6/12/2025Date of Next Image:UnknownSummary:The Color Infrared composite is created using the near-infrared, red, and green channels, allowing for the ability to see areas impacted by the event. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue.The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument.Suggested Use:A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred.The True Color RGB provides a product of how the surface would look to the naked eye from space and may show damage caused by severe weather. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred.Satellite/Sensor:PlanetScopeResolution:3 MetersEsri REST Endpoint:See URL section on right side of page

The National Transit Map - Agencies dataset was compiled on June 02, 2025 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Transit Map (NTM) is a nationwide catalog of fixed-guideway and fixed-route transit service in America. It is compiled using General Transit Feed Specification (GTFS) Schedule data. The GTFS Schedule documentation is available at, https://gtfs.org/schedule/. The NTM Agencies dataset represents the physical addresses of participating transit agencies. Regarding data coverage and licenses, starting in Report Year 2023, the Federal Transit Administration (FTA) has required National Transit Database (NTD) Reporters to submit General Transit Feed Specification (GTFS) data. Reporters will submit GTFS during their reporting period, which is determined by their fiscal year end date. All GTFS data submitted to the NTD will enter the public domain. Prior to the GTFS requirement, transit agencies voluntarily participated in the NTM and granted the U.S. Department of Transportation (USDOT) a Creative Commons Attribution 3.0 United States (CC-BY-3.0) license. The CC-BY-3.0 license is available at, https://creativecommons.org/licenses/by/3.0/us/legalcode. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529047

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on April 17th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 17th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. The National Hydro Network (NHN) focuses on providing a quality geometric description and a set of basic attributes describing Canada's inland surface waters. It provides geospatial digital data compliant with the NHN Standard such as lakes, reservoirs, watercourses (rivers and streams), canals, islands, drainage linear network, toponyms or geographical names, constructions and obstacles related to surface waters, etc. The best available federal and provincial data are used for its production, which is done jointly by the federal and interested provincial and territorial partners. The NHN is created from existing data at the 1:50 000 scale or better. In particular, the modeling work of the NHN was based in part on Linear Reference System (LRS) concepts. This approach allows the management of geometric representation separately from attribute information (referred to as event in LRS). Unique Identifiers are associated with each geometric and event object. These IDs (called National Identifiers - NIDs) will lead to more efficient management of updates between data producers and data users. The NHN data have a great potential for analysis, cartographic representation and display and will serve as base data in many applications. The NHN Work Unit Limits were created based on Water Survey of Canada Sub-Sub-Drainage Area. Additional information, including documentation and pre-packaged file downloads are available on Canada's Open Government website: https://open.canada.ca/data/en/dataset/a4b190fe-e090-4e6d-881e-b87956c07977

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on April 17th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 17th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. The Ministry of Health Service Provider Locations (MOHSERLO) geospatial dataset contains the locations of health service providers in Ontario.Included in the dataset are:AIDS BureausChildren’s Treatment CentresCommunity Health CentresCommunity Support ServicesFamily Health Teams (Contract Locations)HospitalsIndependent Health FacilitiesLaboratoriesLong-Term Care HomesMental Health and Addiction OrganizationsMidwifery ClinicsNurse Practitioner Led ClinicsNursing StationsPharmaciesPublic Health Unit OfficesRetirement HomesSenior Active Living CentresFor each health service provider, there is a selection of attributes provided, including:Service provider name in English and French (if available)Service provider typeDetails related to service provider (i.e., a subcategory of service provider type)Address information (e.g., Address line 1, Community, Postal Code, etc.)The locations provided in this dataset are for planning purposes and should not be used for operational or navigation purposes.Additional DocumentationOntario GeoHub - Ministry of Health Service Provider LocationsMOH Service Location - Documentation (Word)StatusOn going: data is being continually updatedMaintenance and Update FrequencyAnnually: data is updated every yearContactMinistry of Health and Long-Term Care (MOHLTC), mike.pacey@ontario.ca

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on April 17th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on July 30th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada"s performance on key environmental sustainability issues. The Greenhouse Gas Reporting Program ensures that greenhouse gas emissions from Canada"s largest emitters are measured and reported. This mandatory reporting contributes to the development, implementation and evaluation of climate change and energy policies and strategies in Canada. Greenhouse gas emissions data reported through the Greenhouse Gas Reporting Program are used, where appropriate, to confirm the reasonableness of estimates of greenhouse gas emissions in Canada in the National Inventory Report. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. The latest reporting year (2021) coincides with the second year of the COVID-19 pandemic, which affected a wide range of industrial sectors. The results must be interpreted in the context of the pandemic impacting facility operations in 2020 and 2021 to some extent (for example, production slow-downs and reduced demand) but other non-pandemic related factors also contributed to observed emission changes (such as, lower coal consumption and fuel switching). For more information: Greenhouse gas reporting: facilities Greenhouse gas emissions from large facilities

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on April 17th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on July 30th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. Data describing clean growth and climate change projects that have received federal funding since 2015 that feeds into the Climate Action Map. The data include projects that meet Mitigation, Adaptation and Clean Technology objectives. The data include project names and descriptions, funding information, locations, and recipients. Additional Resources:Climate action webmap Resource page Update Frequency: As Needed

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on April 17th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 17th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new English version of this item can be found here. The new French version of this item can be found here. Critical habitat is defined under section 2 of SARA as: "the habitat that is necessary for the survival or recovery of a listed wildlife species and that is identified as the species' critical habitat in the recovery strategy or in an action plan for the species". Section 49(1)(a) of SARA requires that a species' Recovery Strategy/Action Plan include an identification of the species' critical habitat to the extent possible, based on the best available information, including information provided by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC). SARA makes it illegal to destroy any part of the critical habitat of SAR and may impose restrictions on development and construction.Critical habitats were assembled by SARA regional biologists and recovery teams. They are designed to support the protection and recovery of species listed as Endangered or Threatened under the Species at Risk Act. They are also described and displayed in species' Recovery Documents and Action Plans.Visit 'Critical Habitat of Species at Risk' for more information.Update Frequency: Annually

The National Transit Map - Stops dataset was compiled on June 02, 2025 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The National Transit Map (NTM) is a nationwide catalog of fixed-guideway and fixed-route transit service in America. It is compiled using General Transit Feed Specification (GTFS) Schedule data. The NTM Stops dataset shows stops where vehicles pick up or drop off riders. This dataset uses the GTFS stops.txt file. The GTFS schedule format and structure documentation is available at, https://gtfs.org/schedule/. To improve the spatial accuracy of the NTM Stops, the Bureau of Transportation Statistics (BTS) adjusts transit stops using context from the submitted GTFS source data and/or from other publicly available information about the transit service. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529049

IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on July 30th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here Flood maps are created by combining hydraulic model results with high-accuracy ground information. Field surveys and LiDAR remote sensing are used to collect river and floodplain elevations, channel cross section data, bridge and culvert information, and flood berm details. A hydrology assessment using recorded and historic flow measurements is typically used to estimate river flows for a wide range of possible open water floods with different chances of occurring each year. When appropriate, an ice jam frequency analysis is undertaken. All this information is used to build a hydraulic model of a river system, which is calibrated using highwater marks and aerial imagery from past floods to ensure that results for the different flood flows being mapped are reasonable. Flood inundation maps show areas at risk for different sized floods, including ice jam floods in some communities. These maps also identify areas that could be flooded if berms or other flood control structures fail and are typically used for emergency response planning and to inform local infrastructure design. Flood hazards have not been identified along all rivers or through all communities, and it is important to remember that risk exists in areas without provincial flood maps. Visit www.floodhazard.alberta.ca for more information about the Flood Hazard Identification Program. The website includes different sections for final flood studies and for draft flood studies. Flood maps can be viewed directly using the Flood Awareness Map Application at floods.alberta.ca. The Alberta Flood Mapping GIS dataset is updated when new information is available or existing information changes; therefore, the Government of Alberta assumes no responsibility for discrepancies at the time of use. Posted on 2020-12-22 to GeoDiscover Alberta by Alberta Environment and Parks.

This map service contains the Property Tax Parcel Mapping from MassGIS. The data are cached and stored as a tiled map service (levels 15-20) at ArcGIS Online for fast display.

This tile cache was last updated on June 24, 2025.

MassGIS' standardized "Level 3" assessors’ parcel mapping data set contains property (land lot) boundaries and database information from each community's assessor.

The data were developed through a competitive procurement funded by MassGIS. Each community in the Commonwealth was bid on by one or more vendors and the unit of work awarded was a city or town. The specification for this work was Level 3 of the MassGIS Digital Parcel Standard. Standardized data are available for all of Massachusetts' 351 cities and towns.

MassGIS is continuing the project, updating parcel data provided by municipalities. See the L3 Parcel Fiscal Year Status Map.To query the parcels, use the hosted feature layer.

Important Note: This item is in mature support as of June 2025 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.

This layer represents CMIP6 future projections of total precipitation during the driest month of the year. This layer can be used to compare with recent climate histories to better understand the potential impacts of future climate change.WorldClim produced this projection as part of a series of 19 bioclimate variables identified by the USGS and provides this description:"Bioclimatic variables are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables. These are often used in species distribution modeling and related ecological modeling techniques. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation) seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). A quarter is a period of three months (1/4 of the year)."Time Extent: averages from 2021-2040, 2041-2060, 2061-2080, 2081-2100Units: mmCell Size: 2.5 minutes (~5 km)Source Type: StretchedPixel Type: 32 Bit FloatData Projection: GCS WGS84Mosaic Projection: GCS WGS84Extent: GlobalSource: WorldClim CMIP6 BioclimateClimate ScenariosThe CMIP6 climate experiments use Shared Socioeconomic Pathways (SSPs) to model future climate scenarios. Each SSP pairs a human/community behavior component with the traditional RCP greenhouse gas forcing from the previous CMIP5. Three SSPs were chosen by Esri to be included in the service based on user requests: SSP2 4.5, SSP3 7.0 and SSP5 8.5.SSPScenarioEstimated warming(2041–2060)Estimated warming(2081–2100)Very likely range in °C(2081–2100)SSP2-4.5intermediate GHG emissions:CO2 emissions around current levels until 2050, then falling but not reaching net zero by 21002.0 °C2.7 °C2.1 – 3.5SSP3-7.0high GHG emissions:CO2 emissions double by 21002.1 °C3.6 °C2.8 – 4.6SSP5-8.5very high GHG emissions:CO2 emissions triple by 20752.4 °C4.4 °C3.3 – 5.7While the 8.5 scenario is no longer generally considered likely, SSP3 7.0 has been included and is considered the high end of possibilities. SSP5 8.5 has been retained since many organizations report to this threshold. The warming associated with SSP2 4.5 is equivalent to the global targets set at the 2021 United Nations COP26 meetings in Glasgow. Processing the Climate DataWorldClim provides 20-year averaged outputs for the various SSPs from 24 global climate models. A selection of 13 models were averaged for each variable and time based on Mahony et al 2022. These models included ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CNRM-ESM2-1, EC-Earth3-Veg, GFDL-ESM4, GISS-E2-1-G, INM-CM5-0, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL. GFDL-ESM4 was not available for SSP2 4.5 or SSP5 8.5. Accessing the Multidimensional InformationThe time and SSP scenario are built into the layer using a multidimensional raster. Enable the time slider to move across the 20-year average periods. In ArcGIS Online and Pro, use the Multidimensional Filter to select the SSP (SSP2 4.5 is the default). What can you do with this layer?These multidimensional imagery tiles support analysis using ArcGIS Online or Pro. Use the Bioclimate Baseline layer to see the difference in pixels and calculate change from the historic period into the future. Use the Multidimensional tab in ArcGIS Pro to access a variety of useful tools. Each layer or variable can be styled using the Image Display options. Known Quality IssuesEach model is downscaled from ~100km resolution to ~5km resolution by WorldClim. Some artifacts are inevitable, especially at a global scale. Some variables have distinct transitions, especially in Greenland. Also, SSP2 4.5 has missing data for several variables in Antarctica.Related LayersBioclimate 1 Annual Mean TemperatureBioclimate 2 Mean Diurnal RangeBioclimate 3 IsothermalityBioclimate 4 Temperature SeasonalityBioclimate 5 Max Temperature of Warmest MonthBioclimate 6 Min Temperature Of Coldest MonthBioclimate 7 Temperature Annual RangeBioclimate 8 Mean Temperature Of Wettest QuarterBioclimate 9 Mean Temperature Of Driest QuarterBioclimate 10 Mean Temperature Of Warmest QuarterBioclimate 11 Mean Temperature Of Coldest QuarterBioclimate 12 Annual PrecipitationBioclimate 13 Precipitation Of Wettest MonthBioclimate 14 Precipitation Of Driest MonthBioclimate 15 Precipitation SeasonalityBioclimate 16 Precipitation Of Wettest QuarterBioclimate 17 Precipitation Of Driest QuarterBioclimate 18 Precipitation Of Warmest QuarterBioclimate 19 Precipitation Of Coldest QuarterBioclimate Baseline 1970-2000

Important Note: This item is in mature support as of June 2025 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.

This layer represents CMIP6 future projections of total precipitation during the three wettest months of the year. This layer can be used to compare with recent climate histories to better understand the potential impacts of future climate change.WorldClim produced this projection as part of a series of 19 bioclimate variables identified by the USGS and provides this description:"Bioclimatic variables are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables. These are often used in species distribution modeling and related ecological modeling techniques. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation) seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). A quarter is a period of three months (1/4 of the year)."Time Extent: averages from 2021-2040, 2041-2060, 2061-2080, 2081-2100Units: mmCell Size: 2.5 minutes (~5 km)Source Type: StretchedPixel Type: 32 Bit FloatData Projection: GCS WGS84Mosaic Projection: GCS WGS84Extent: GlobalSource: WorldClim CMIP6 BioclimateClimate ScenariosThe CMIP6 climate experiments use Shared Socioeconomic Pathways (SSPs) to model future climate scenarios. Each SSP pairs a human/community behavior component with the traditional RCP greenhouse gas forcing from the previous CMIP5. Three SSPs were chosen by Esri to be included in the service based on user requests: SSP2 4.5, SSP3 7.0 and SSP5 8.5.SSPScenarioEstimated warming(2041–2060)Estimated warming(2081–2100)Very likely range in °C(2081–2100)SSP2-4.5intermediate GHG emissions:CO2 emissions around current levels until 2050, then falling but not reaching net zero by 21002.0 °C2.7 °C2.1 – 3.5SSP3-7.0high GHG emissions:CO2 emissions double by 21002.1 °C3.6 °C2.8 – 4.6SSP5-8.5very high GHG emissions:CO2 emissions triple by 20752.4 °C4.4 °C3.3 – 5.7While the 8.5 scenario is no longer generally considered likely, SSP3 7.0 has been included and is considered the high end of possibilities. SSP5 8.5 has been retained since many organizations report to this threshold. The warming associated with SSP2 4.5 is equivalent to the global targets set at the 2021 United Nations COP26 meetings in Glasgow. Processing the Climate DataWorldClim provides 20-year averaged outputs for the various SSPs from 24 global climate models. A selection of 13 models were averaged for each variable and time based on Mahony et al 2022. These models included ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CNRM-ESM2-1, EC-Earth3-Veg, GFDL-ESM4, GISS-E2-1-G, INM-CM5-0, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL. GFDL-ESM4 was not available for SSP2 4.5 or SSP5 8.5. Accessing the Multidimensional InformationThe time and SSP scenario are built into the layer using a multidimensional raster. Enable the time slider to move across the 20-year average periods. In ArcGIS Online and Pro, use the Multidimensional Filter to select the SSP (SSP2 4.5 is the default). What can you do with this layer?These multidimensional imagery tiles support analysis using ArcGIS Online or Pro. Use the Bioclimate Baseline layer to see the difference in pixels and calculate change from the historic period into the future. Use the Multidimensional tab in ArcGIS Pro to access a variety of useful tools. Each layer or variable can be styled using the Image Display options. Known Quality IssuesEach model is downscaled from ~100km resolution to ~5km resolution by WorldClim. Some artifacts are inevitable, especially at a global scale. Some variables have distinct transitions, especially in Greenland. Also, SSP2 4.5 has missing data for several variables in Antarctica.Related LayersBioclimate 1 Annual Mean TemperatureBioclimate 2 Mean Diurnal RangeBioclimate 3 IsothermalityBioclimate 4 Temperature SeasonalityBioclimate 5 Max Temperature of Warmest MonthBioclimate 6 Min Temperature Of Coldest MonthBioclimate 7 Temperature Annual RangeBioclimate 8 Mean Temperature Of Wettest QuarterBioclimate 9 Mean Temperature Of Driest QuarterBioclimate 10 Mean Temperature Of Warmest QuarterBioclimate 11 Mean Temperature Of Coldest QuarterBioclimate 12 Annual PrecipitationBioclimate 13 Precipitation Of Wettest MonthBioclimate 14 Precipitation Of Driest MonthBioclimate 15 Precipitation SeasonalityBioclimate 16 Precipitation Of Wettest QuarterBioclimate 17 Precipitation Of Driest QuarterBioclimate 18 Precipitation Of Warmest QuarterBioclimate 19 Precipitation Of Coldest QuarterBioclimate Baseline 1970-2000

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on April 17th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 17th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. Mapping Resources on energy infrastructure and potential implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.Power Plants, 100 MW or more: Stations containing prime movers, electric generators, and auxiliary equipment for converting mechanical, chemical, and/or fission energy into electric energy with an installed capacity of 100 megawatts or more. Renewable Power Plants, 1 MW or more: Stations containing prime movers, electric generators, and auxiliary equipment for converting mechanical, chemical into electric energy with an installed capacity of 1 Megawatt or more generated from renewable energy, including biomass, hydroelectric, pumped-storage hydroelectric, geothermal, solar, and wind.For more information visit North American Cooperation on Energy Information, Mapping Data

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on May 7th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on July 7th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. This dataset provides information related to the principal producing oil and gas fields operating in Canada during the given reference year. The dataset is maintained by the National Energy Board.See Principal Mineral Areas, Producing Mines, and Oil and Gas Fields (900A) for additional resources, formats, services, and contact information.

Latest update: June 2025 This data is published on behalf of the Rural Payments Agency. For further information about this data contact open.data@rpa.gov.uk.Environmental Stewardship Scheme (England) holdings agreement polygons (includes farm business and payment info). More information about the scheme and guidance can be viewed here.Please note: This is a legacy scheme, and as a result there are no longer any Entry Level Stewardship (ELS) only agreements or Organic Entry Level Stewardship (OELS) only agreements in this dataset as ELS and OELS where only 5 year agreements.Full metadata can be viewed on data.gov.uk.

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on April 17th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on July 30th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. Land cover information is necessary for a large range of environmental applications related to climate impacts and adaption, emergency response, wildlife habitat, etc. In Canada, a 2008 user survey indicated that the most practical land cover data is provided in a nationwide 30 m spatial resolution format, with an update frequency of five years. In response to this need, the Canada Centre for Remote Sensing (CCRS) has generated a 30 m land cover map of Canada for the base year 2010, as well as this 2015 land cover map. This land cover dataset is also the Canadian contribution to the 30 m spatial resolution 2015 Land Cover Map of North America, which is produced by Mexican, American and Canadian government institutions under a collaboration called the North American Land Change Monitoring System (NALCMS). This land cover dataset for Canada is produced using observation from Operational Land Imager (OLI) Landsat sensor. An accuracy assessment based on 806 randomly distributed samples shows that land cover data produced with this new approach has achieved 79.90% accuracy with no marked spatial disparities. For more information visit: Land Cover of Canada - Cartographic Product Collection

IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 27th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here The 2011 Census Forward Sortation Area (FSA) Boundary File depicts the boundaries of 1,621 forward sortation areas (identified by the first three characters of the postal code) derived from postal codesOM captured from the 2011 Census of Population questionnaires.Through analysis of the postal codesOM reported by census households, a single FSA was assigned to each dissemination block based on the most frequently reported FSA for the dissemination block. Unreported dissemination blocks were assigned an FSA based on proximity to reported dissemination blocks in the same province or territory or nearest Canada Post Corporation delivery installation.The 2011 Census FSA Boundary File provides a framework for mapping and spatial analysis. It is available in two types: cartographic and digital. The cartographic boundary file depicts the 2011 FSAs with the shoreline of the major land mass of Canada and its coastal islands. The digital boundary file depicts the full extent of the 2011 FSAs, including the coastal water area.

IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on May 7th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on July 7th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. This dataset provides information related to the principal producing oil sands mines operating in Canada during the given reference year (2019). The dataset is maintained by the Lands and Minerals Sector, Natural Resources Canada, and is a subset of the web map Natural Resources Canada’s annual Map 900A – Principal Mineral Areas, Producing Mines, and Oil and Gas Fields in Canada. Pertinent information for each mine is provided, including operation name, owner/operator, commodities extracted, and on-site facilities.Interactive Minerals and Mining web map: The Atlas of Canada - Minerals and Mining