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

The purpose of this map is to be embedded into Hazardous Material Transport Outreach Network. This map aims to educate users on the role of trucking in the transportation of Petroleum Hydrocarbon across North America. It visualizes roadways and key terminals involved in transferring Petroleum Hydrocarbon from trucks to other transportation methods. This map helps to illustrate how trucks contribute to the overall movement of Petroleum Hydrocarbon.Sources:1. (Glc_esri) Great Lakes Commission Basin Boundary. https://www.arcgis.com/home/item.html?id=fe80bdd627d343e8b949ab88bc8312a1 [Last Update/Jan 28, 2022]2. (Esri_US_Federal_Data) Transportation - Overview. https://www.arcgis.com/home/item.html?id=f42ecc08a3634182b8678514af35fac3 [Last Update/Feb 24, 2025]3. (Government of Canada) Transport Networks in Canada - CanVec Series https://ftp.maps.canada.ca/pub/nrcan_rncan/vector/canvec/fgdb/Transport/canvec_5M_CA_Transport_fgdb.zip [Last Update/As Needed]4. (GeoPlatform ArcGIS Online) POL Terminals | ArcGIS Hub https://hub.arcgis.com/datasets/49daa72be7b84767bbb5e5c6f51ab1e8_0/about [Last Update/Aug 1, 2024]5. (Government of Canada; Natural Resources Canada) North American Cooperation on Energy Information, Mapping Data https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674 [Last Update/As Needed]

SEPTA Transit Stop locations for Summer 2024. Data downloaded from ArcGIS online hosted feature services Feb 2025.

Dunwoody Subdivision Map with Apartments, Condos, and Townhomes. Last updated February 2025

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.

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 Earthquakes between 2010 and 2020. Earthquakes recorded by Earthquakes Canada. This dataset contains the earthquakes recorded in decade 2010. However, the National Earthquake Database makes available seismic bulletin data from 1985 and onward. See Earthquakes in Canada 2010-2019 for more resources, formats, services and contact information. See General Earthquake Information for more information such as FAQs (ex. What is the "magnitude" of an earthquake?), Glossary of Seismological Terms, earthquake zones in Canada, Tsunamis and Tools for Teachers

This file contains the digital vector centroids for the National Statistics Postcode Lookup in the UK as at February 2025.The centroids are of every live and terminated postcode in the United KingdomContains both Ordnance Survey and ONS Intellectual Property Rights.

REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/New_NSPL_Online_Latest_Centroids/FeatureServer

REST URL of WFS Server – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/NSPL_Online_Latest_Centroids/WFSServer?service=wfs&request=getcapabilities

REST URL of MapServer – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/NSPL_Online_Latest_Centroids/MapServer

This map shows all of Maryland's Tier II high quality stream segments and their associated catchment/watershed. MDE uses Maryland Biological Stream Survey (MBSS) data for designating streams as Tier II. Using all MBSS stations sampled within a stream reach (defined as a section of stream from confluence to confluence), an arithmetic mean of the benthic index of biotic integrity (IBI) and the fish IBI is calculated. Only if the means of both the benthic and fish IBIs are greater than or equal to 4.00 is a stream reach designated as Tier II. As such, Tier II streams represent the best streams in Maryland in terms of water quality, water chemistry, habitat, and biotic assemblages. Tier II stream segments can range in length generally terminating at confluences, impoundment outfalls, and tidal boundaries. However, in planning activities, one should consider the entire upstream watershed to a Tier II stream as any changes to this watershed can potentially have an effect on the water quality of the Tier II stream. It is worth noting that once a stream segment is designated as Tier II, this designation lasts in perpetuity regardless of changes in water quality or local landuse. This map was last updated in Feb 2025.To access the publicly maintained list of all Tier II waters and for further information regarding Maryland's High Quality Tier II Waters, please visit https://mde.maryland.gov/programs/water/tmdl/integrated303dreports/pages/index.aspx

The Metropolitan Planning Organizations (MPO) dataset was compiled on February 26, 2025 from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset contains the geographic boundaries of Metropolitan Planning Organizations. It provides users with transportation planning locations, sizes and names and is intended for metropolitan area multimodal transportation planning and programming. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529038

This file contains the digital vector centroids for the National Statistics Postcode Lookup in the UK as at February 2025.The centroids are of every live and terminated postcode in the United KingdomContains both Ordnance Survey and ONS Intellectual Property Rights.

REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/New_NSPL_Online_Latest_Centroids/FeatureServer

REST URL of WFS Server – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/NSPL_Online_Latest_Centroids/WFSServer?service=wfs&request=getcapabilities

REST URL of MapServer – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/NSPL_Online_Latest_Centroids/MapServer

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 file contains the digital vector centroids for the Live Postcodes in the UK as at February 2025.

The centroids are of every live postcode in the United Kingdom

Contains both Ordnance Survey and ONS Intellectual Property Rights.

REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Online_ONS_Postcode_Directory_Live/FeatureServer

AboutThis is a map displaying all North Atlantic Aquatic Connectivity Collaborative (NAACC) non-tidal culvert assessments in the Central Massachusetts Municipal Planning Organization (CMMPO) region. The culvert data was last updated in February, 2025. The culverts dataset is updated periodically from the NAACC Data Center, in which culvert assessment data is uploaded as it is collected. The culvert dataset was last updated on February 12, 2025. The map was last updated on March 17, 2025. Culvert DataThe dataset is updated periodically from the NAACC Data Center, in which culvert assessment data is uploaded as it is collected in the field. On the map, the layer displays the barrier condition of each culvert. These barriers and their symbology color include:Severe - RedSignificant - OrangeModerate - YellowMinor - BlueInsignificant - Light BlueNo Barrier - GreenNo Score/Missing Data - PinkNot Assessed - Dark GrayBy clicking the culverts (points) on the map, more data is available for each structure, like when it was assessed/last updated, it's crossing code, it's aquatic organism passage (AOP) score, and more. Data Source: North Atlantic Aquatic Connectivity Collaborative (NAACC)Download Culvert Data: NAACC Data CenterArcGIS Online Data Layer Source: Culverts in MassachusettsIcon source: https://www.flaticon.com/authors/itim2101

This layer shows workers by employer type (private sector, government, etc.) in Austin, Texas. This is shown by censustract and place boundaries. Tract data contains the most currently released American Community Survey (ACS) 5-year data for all tracts within Bastrop, Caldwell, Hays, Travis, and Williamson Counties in Texas. Place data contains the most recent ACS 1-year estimate for the City of Austin, Texas. Data contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023 (Tract), 2023 (Place)ACS Table(s): C24060 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: February 12, 2025National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

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 October 2nd, 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 A dissemination area (DA) is a small, relatively stable geographic unit composed of one or more adjacent dissemination blocks with an average population of 400 to 700 persons based on data from the previous Census of Population Program. It is the smallest standard geographic area for which all census data are disseminated. DAs cover all the territory of Canada. Dissemination areas respect several delineation criteria designed to maximize their usefulness for data analysis and to meet operational constraints.Dissemination area (DA) boundaries respect the boundaries of census subdivisions and census tracts. DAs therefore remain stable over time, to the extent that census subdivisions and census tracts do.Dissemination area boundaries follow roads. DA boundaries may follow other features (such as railways, water features, power transmission lines), where these features form part of the boundaries of census subdivisions or census tracts.Dissemination areas are uniform in terms of population size, which is usually targeted from 400 to 700 persons to avoid data suppression. DAs with lower population counts (including zero population) may result in order to respect the boundaries of census subdivisions and census tracts. DAs with higher population counts may also result.Dissemination areas are delineated based on the block population counts from the previous census due to operational constraints.Dissemination areas are compact in shape, to the extent possible while respecting the above criteria. Click here for more information about census divisions from Statistics Canada. Follow this storymap to learn more about Canada"s census geographies.

This dataset is OBSOLETE as of 2/5/2025 and will be removed from ArcGIS Online on 8/5/2025.An updated version of this dataset is available at MassGIS Data: Places of Worship | Mass.gov.This layer contains point features of most places of worship in Cambridge which are prominently listed in common.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription SITE_NAME type: Stringwidth: 50precision: 0 Name of facility

ADDRESS type: Stringwidth: 40precision: 0 Facility address

EditDate type: Stringwidth: 4precision: 0

Laatste update: 3 februari 2025Kenmerkend aan ArcGIS Pro is de continue verbinding met ArcGIS Online. Dit biedt vele voordelen, maar vereist wel een connectie met het internet. Het is echter mogelijk om ook offline met ArcGIS Pro te werken voor wanneer er tijdelijk geen internet beschikbaar is. De voorbereiding voor offline werken met ArcGIS Pro vereist wel de nodige aandacht. Denk aan de toegang tot data, basemaps en de Help functie.

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 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 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.