21 datasets found
  1. Municipal boundaries

    • open.canada.ca
    • datasets.ai
    • +2more
    esri rest, html, zip
    Updated Jun 18, 2025
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    Government of Ontario (2025). Municipal boundaries [Dataset]. https://open.canada.ca/data/en/dataset/2bee144c-4c52-4ce3-bd9a-e7c1166f2402
    Explore at:
    esri rest, html, zipAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Contains 2 datasets: * lower and single tier municipalities * upper tier municipalities and districts.

  2. Ontario

    • datasets.ai
    • gimi9.com
    • +3more
    22, 33
    Updated Aug 26, 2024
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    Natural Resources Canada | Ressources naturelles Canada (2024). Ontario [Dataset]. https://datasets.ai/datasets/ca726d38-6e19-5733-988b-ce40c4b5f771
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    22, 33Available download formats
    Dataset updated
    Aug 26, 2024
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    Authors
    Natural Resources Canada | Ressources naturelles Canada
    Area covered
    Ontario
    Description

    Contained within the Atlas of Canada's Reference Map Series, 1961 to 2010, is a map of Ontario. The map shows federal and provincial boundaries, and also boundaries of counties and of places of more than 50 000 inhabitants. There is also extensive coverage of the boundaries of geographical townships. The county-level units are named. The transportation content consists of roads (shown in four classes), ferries, and railways. Populated places are shown in one of five size classes. The map shows national parks and the larger provincial parks. Data is as of about 1990.

  3. Provinces/Territories, Cartographic Boundary File - 2016 Census

    • open.canada.ca
    • data.wu.ac.at
    gml, html, shp
    Updated Feb 23, 2022
    + more versions
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    Statistics Canada (2022). Provinces/Territories, Cartographic Boundary File - 2016 Census [Dataset]. https://open.canada.ca/data/en/dataset/a883eb14-0c0e-45c4-b8c4-b54c4a819edb
    Explore at:
    gml, html, shpAvailable download formats
    Dataset updated
    Feb 23, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    There are two types of boundary files: cartographic and digital. Cartographic boundary files portray the geographic areas using only the major land mass of Canada and its coastal islands. Digital boundary files portray the full extent of the geographic areas, including the coastal water area.

  4. u

    Ontario - Catalogue - Canadian Urban Data Catalogue (CUDC)

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Ontario - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-ca726d38-6e19-5733-988b-ce40c4b5f771
    Explore at:
    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Ontario, Canada
    Description

    Contained within the Atlas of Canada's Reference Map Series, 1961 to 2010, is a map of Ontario. The map shows federal and provincial boundaries, and also boundaries of counties and of places of more than 50 000 inhabitants. There is also extensive coverage of the boundaries of geographical townships. The county-level units are named. The transportation content consists of roads (shown in four classes), ferries, and railways. Populated places are shown in one of five size classes. The map shows national parks and the larger provincial parks. Data is as of about 1990.

  5. a

    Counties- Great Lakes Shoreline Clip

    • hub.arcgis.com
    Updated Oct 24, 2018
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    The Nature Conservancy (2018). Counties- Great Lakes Shoreline Clip [Dataset]. https://hub.arcgis.com/datasets/4c7a00570c59423d98022fef731b4011
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    Dataset updated
    Oct 24, 2018
    Dataset authored and provided by
    The Nature Conservancy
    Area covered
    Description

    United States County data was downloaded 9/28/18 from the 2017 United States Census Bureau's Cartographic Boundary Files and merged with Ontario's County Data created by Ontario Ministry of Natural Resources and hosted by the Great Lakes Aquatic Habitat Framework's administrative boundaries data downloaded 4/15/2014. The merged county data was clipped to counties/municipalities on the Great Lakes' shoreline. Fields:Country: country is listed as either "United States" or "Canada."State/Province: state/province is listed for each Great Lakes' county/municipality. Numerous states have counties with the same name and this is a distinguishing factor.County/Municipality: U.S. counties and Canadian counties/municipalities in Ontario, Canada are identified in this field.Investment Acreage: total available investment acreage by county. Please note that some counties are listed with 0 or minimal protected, restored and enhanced coastal wetland acres that spans from 2010 to now and are shown on the map as, "No Current Data Available." This does not mean that projects have not been completed within a county, but that these projects have not yet been added to our coastal wetlands investments database. Limited Canadian data is available at this time.

  6. Soil survey

    • open.canada.ca
    • data.ontario.ca
    • +1more
    html
    Updated Jun 18, 2025
    + more versions
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    Government of Ontario (2025). Soil survey [Dataset]. https://open.canada.ca/data/dataset/538bc077-334c-41a7-8a5e-283dd06efd32
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    htmlAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Get consolidated soil data mapped on a county basis in a digitally stitched and standardized product. This soil survey data was mapped by a number of soil surveyors from the 1920s to the 1990s. The product incorporates soil information from a variety of map scales. The project has brought the individual county or regional municipality surveys together to reveal inconsistencies in soil data across county boundaries. The soil complex database contains other descriptive information including: * slope class * Canada Land Inventory (CLI) ranking * stoniness * drainage class * texture

  7. G

    Administrative Boundaries in Canada - CanVec Series - Administrative...

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    fgdb/gdb, html, kmz +2
    Updated Mar 31, 2023
    + more versions
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    Natural Resources Canada (2023). Administrative Boundaries in Canada - CanVec Series - Administrative Features [Dataset]. https://open.canada.ca/data/en/dataset/306e5004-534b-4110-9feb-58e3a5c3fd97
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    wms, kmz, shp, fgdb/gdb, htmlAvailable download formats
    Dataset updated
    Mar 31, 2023
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    The administrative features of the CanVec series include geopolitical regions (international, territorial and provincial) and populated place names. A wide selection of attributes describe the data. The CanVec multiscale series is available as prepackaged downloadable files and by user-defined extent via a Geospatial data extraction tool. Related Products: Topographic Data of Canada - CanVec Series

  8. g

    Data from: Cell Towers

    • maps.grey.ca
    • hub.arcgis.com
    Updated Nov 15, 2023
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    Grey County (2023). Cell Towers [Dataset]. https://maps.grey.ca/datasets/cell-towers
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    Dataset updated
    Nov 15, 2023
    Dataset authored and provided by
    Grey County
    Area covered
    Description

    Description Cellphone tower extract is a copy of the data found at https://ised-isde.canada.ca/site/spectrum-management-system/en/spectrum-management-system-data. Data is organized into a point layer of tower locations grouped by provider. All the providers transmitters are located in a table related by a unique TowerID.Dataset Usage General data layer for use when needed, for example to identify shortfalls in cell service for field work.Data Source Modified version of Innovation, Science and Economic Development Canada datasetData Criticality 1Sensitive Data NoCurator Greg SpiridonovCurator Job Title GIS SpecialistCurator Email greg.spiridonov@grey.caCurator Department IT / GISCurator Responsibilities Maintain,Oversight_Control_AccessMaintenance and Update Frequency MonthlyUpdate History New ZIP downloaded Nov 14 2023Published Map Service(s) https://gis.grey.ca/portal/home/item.html?id=718f08a731924856827f85178bb649cbPublicly Available Publicly availableOpen Data Published to Open DataOffline (sync) Not sure at this timeOther Comments Dataset relates to table GC_CellTower_TransmittersPermissionsAssign permissions to map service if published.Group PermissionsCurator Department ViewGrey County Staff ViewPublic View

  9. o

    Ontario livestock by county

    • data.ontario.ca
    xlsx
    Updated Aug 27, 2024
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    Agriculture, Food and Rural Affairs (2024). Ontario livestock by county [Dataset]. https://data.ontario.ca/dataset/ontario-livestock-by-county
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    xlsx(185037), xlsx(121300), xlsx(112382), xlsx(127630), xlsx(179846), xlsx(144787)Available download formats
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    Agriculture, Food and Rural Affairs
    License

    https://www.ontario.ca/page/terms-usehttps://www.ontario.ca/page/terms-use

    Time period covered
    Aug 27, 2024
    Area covered
    Ontario
    Description

    Get statistical data on number of cattle, pigs and sheep by county in Ontario.

    Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Rural Affairs, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

  10. Soil Survey Complex

    • geohub.lio.gov.on.ca
    • namp-repository-gbaybiosphere.hub.arcgis.com
    • +1more
    Updated Nov 20, 2015
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    OMAFRA (2015). Soil Survey Complex [Dataset]. https://geohub.lio.gov.on.ca/datasets/ontarioca11::soil-survey-complex/api
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    Dataset updated
    Nov 20, 2015
    Dataset provided by
    Ministries of Agriculture, Food and Agribusiness and Rural Affairshttps://www.ontario.ca/page/ministry-agriculture-food-and-rural-affairs
    Authors
    OMAFRA
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    Ontario Ministry of Agriculture, Food, and Rural Affairs and Agriculture and Agri-Food Canada, in cooperation with the Ministry of Natural Resources, have compiled a geo-spatial soils database for Southern Ontario. The database consolidated the existing digital soil data mapped on a county basis into a digitally stitched and standardized product. The soil survey data was mapped by a number of soil surveyors from the 1920s to the 1990s. The Soil Ontario product incorporates soil information from a variety of map scales. The project has brought the individual county or regional municipality surveys together in a digitally stitched database which reveals inconsistencies in soil data across county boundaries. Using GIS and NRVIS (Natural Resource Values Information System) a GIS Specialist matched the soil polygons that crossed boundaries using the best available resources.Additional Metadata Location: Agriculture and AgriFood Canada - Canada Soils Information SystemAdditional Metadata:Canadian Soil Information Service Additional DocumentationSoil Survey Complex - Data Description (PDF)Soil Survey Complex - Documentation (Word)StatusOn going: data is being continually updated Maintenance and Update Frequency As needed: data is updated as deemed necessary Contact Daniel Saurette, omafra.gis@ontario.ca

  11. Ontario Digital Terrain Model (Lidar-Derived)

    • geohub.lio.gov.on.ca
    • hub.arcgis.com
    Updated Aug 23, 2019
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    Ontario Ministry of Natural Resources and Forestry (2019). Ontario Digital Terrain Model (Lidar-Derived) [Dataset]. https://geohub.lio.gov.on.ca/maps/776819a7a0de42f3b75e40527cc36a0a
    Explore at:
    Dataset updated
    Aug 23, 2019
    Dataset provided by
    Ministry of Natural Resourceshttp://www.ontario.ca/page/ministry-natural-resources
    Authors
    Ontario Ministry of Natural Resources and Forestry
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    Zoom in on the map above and click your area of interest or use the Tile Index linked below to determine which package(s) you require for download. The DTM data is available in the form of 1-km by 1-km non-overlapping tiles grouped into packages for download.This dataset is a compilation of lidar data from multiple acquisition projects, as such specifications, parameters and sensors may vary by project. See the detailed User Guide linked below for additional information.

    You can monitor the availability and status of lidar projects on the Ontario Lidar Coverage map on the Ontario Elevation Mapping Program hub page.

    Now also available through a web service which exposes the data for visualization, geoprocessing and limited download. The service is best accessed through the ArcGIS REST API, either directly or by setting up an ArcGIS server connection using the REST endpoint URL. The service draws using the Web Mercator projection.

    For more information on what functionality is available and how to work with the service, read the Ontario Web Raster Services User Guide. If you have questions about how to use the service, email Geospatial Ontario (GEO) at geospatial@ontario.ca.

    Service Endpoints

    https://ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DTM_LidarDerived/ImageServer https://intra.ws.geoservices.lrc.gov.on.ca/arcgis5/rest/services/Elevation/Ontario_DTM_LidarDerived/ImageServer (Government of Ontario Internal Users)

    Additional Documentation

    Ontario DTM (Lidar-Derived) - User Guide (DOCX)

    OMAFRA Lidar 2016-2018 -Cochrane-Additional Contractor Metadata (PDF) OMAFRA Lidar 2016-2018 -Peterborough-AdditionalContractorMetadata (PDF) OMAFRA Lidar 2016-2018 -Lake Erie-AdditionalContractorMetadata (PDF) CLOCA Lidar 2018 - Additional Contractor Metadata (PDF) South Nation Lidar 2018-19 - Additional Contractor Metadata (PDF) OMAFRA Lidar 2022 - Lake Huron - Additional Contractor Metadata (PDF) OMAFRA Lidar 2022 - Lake Simcoe - Additional Contractor Metadata (PDF) Huron-Georgian Lidar 2022-23 - Additional Contractor Metadata (Word) Kawartha Lakes Lidar 2023 - Additional Contractor Metadata (Word) Sault Ste Marie Lidar 2023-24 - Additional Contractor Metadata (Word) Thunder Bay Lidar 2023-24 - Additional Contractor Metadata (Word) Timmins Lidar 2024 - Additional Contractor Metadata (Word)

    Ontario DTM (Lidar-Derived) - Tile Index (SHP) Ontario Lidar Project Extents (SHP)

    OMAFRA Lidar DTM 2016-2018 -Cochrane- Breaklines (SHP) OMAFRA Lidar DTM 2016-2018 -Peterborough-Breaklines (SHP) OMAFRA Lidar DTM 2016-2018 -Lake Erie-Breaklines (SHP) CLOCA Lidar DTM 2018-Breaklines (SHP) South Nation Lidar DTM 2018-19-Breaklines (SHP) Ottawa-Gatineau Lidar DTM 2019-20 - Breaklines (SHP) OMAFRA Lidar DTM 2022 - Lake Huron - Breaklines (SHP) OMAFRA Lidar DTM 2022 - Lake Simcoe - Breaklines (SHP) Eastern Ontario Lidar DTM 2021-22 - Breaklines (SHP) Muskoka Lidar DTM 2018 - Breaklines CGVD2013 (SHP) / CGVD28 (SHP) Muskoka Lidar DTM 2021 - Breaklines CGVD2013 (SHP) / CGVD28 (SHP) Muskoka Lidar DTM 2023 - Breaklines CGVD2013 (SHP) / CGVD28 (SHP) DEDSFM Huron-Georgian Bay 2022-23 - Breaklines (SHP) DEDSFM Kawartha Lakes 2023 - Breaklines (SHP) DEDSFM Sault Ste Marie 2023-24- UTM16 - Breaklines (SHP) DEDSFM Sault Ste Marie 2023-24- UTM17 - Breaklines (SHP) DEDSFM Sudbury 2023-24 - Breaklines (SHP) DEDSFM Thunder Bay 2023-24 - Breaklines (SHP) DEDSFM Timmins 2024 - Breaklines (SHP)

    Product PackagesDownload links for the Ontario DTM (Lidar-Derived) (Word) Projects: LEAP 2009 GTA 2014-18 OMAFRA 2016-18 CLOCA 2018 South Nation CA 2018-19 Muskoka 2018-23 York-Lake Simcoe 2019 Ottawa River 2019-20 Ottawa-Gatineau 2019-20 Lake Nipissing 2020 Hamilton-Niagara 2021 Huron Shores 2021 Eastern Ontario 2021-22 OMAFRA Lake Huron 2022 OMAFRA Lake Simcoe 2022 Belleville 2022 Digital Elevation Data to Support Flood Mapping 2022-26

    Huron-Georgian Bay 2022-23 Kawartha Lakes 2023 Sault Ste Marie 2023-24 Sudbury 2023-24 Thunder Bay 2023-24 Timmins 2024

    Greater Toronto Area Lidar 2023

    Status On going: Data is continually being updated

    Maintenance and Update Frequency As needed: Data is updated as deemed necessary

    Contact Ontario Ministry of Natural Resources - Geospatial Ontario,geospatial@ontario.ca

  12. B

    Replication Data for: Canadian Community and Co-Operative Energy Database...

    • borealisdata.ca
    Updated May 16, 2025
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    Julie MacArthur; Derya Tarhan; Karl Janelle; Lewis Blagogie; Gladys Argandona (2025). Replication Data for: Canadian Community and Co-Operative Energy Database (CCED) Co-Operative Energy Map Layers [Dataset]. http://doi.org/10.5683/SP3/ISWGR1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 16, 2025
    Dataset provided by
    Borealis
    Authors
    Julie MacArthur; Derya Tarhan; Karl Janelle; Lewis Blagogie; Gladys Argandona
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    This dataset consists of the tabular data files used to create a database of energy activities led by co-operatives, the Canadian Community and Co-operative Energy Database (CCED). The CCED and the map it enables, the Canadian Renewable Energy Co-operative Map, extends the analysis of energy activities done by Fezulla, Pare, and Parkins' 2024 Canadian Renewable Energy and Battery Storage Map (CREBS) project. The CCED builds on existing outdated or more narrowly focused datasets of Canadian energy co-operatives, extending beyond power generation to grid ownership, electricity retailing, and installation of energy equipment for demand management and efficiency purposes. These key sources of data included the 2023 Census of Renewable Energy Co-operatives (Leonhardt, R., Pigeon, M.-A., & Boucher, M. 2022) which focused only on generation co-operatives but not the range and location of projects across Canada. It also included the outdated datasets in MacArthur (2016) and MacArthur and Hoicka (2018), and more geographically focused (Ontario) data from Tarhan (2025). The CCED updated and supplemented these existing datasets, classifying entries based on the primary activities and geographic location. Additional data sources included the Ontario Feed-in Tariff Program awarded projects data, the Nova Scotia Community Feed-in Tariff Program project data, the Bullfrog Community Projects website, the Federal Clean Energy for Rural and Remote Communities (CERRC) initiative, Community Energy Co-operative Canada (CECC), and online research based on Co-operatives and Mutuals Canada data. More detail on the data sources and gaps is outlined in the methodology section below. The entries in the CCED database that were active as of March 2025 were mapped using ArcGIS Online to the Canadian Renewable Energy Electricity Co-operative Map, which shows the key projects and activities undertaken by co-operatives in the energy section. The names of the map layers created, Co-Operative Renewable Electricity Generation and Other-Co-operative Energy Activity, correspond to the names of the data files found in this dataset. Methodology and data sources, including information on data gaps, can be found in the included PDF.

  13. G

    Earthquakes, Magnetism and Tides

    • open.canada.ca
    • data.wu.ac.at
    jpg, pdf
    Updated Mar 14, 2022
    + more versions
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    Natural Resources Canada (2022). Earthquakes, Magnetism and Tides [Dataset]. https://open.canada.ca/data/en/dataset/c956087f-3313-5d95-b2f7-acf5bc71c119
    Explore at:
    jpg, pdfAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows maps of earthquakes, magnetism and tides across Canada. The two larger upper maps on this plate show geomagnetism. Since the North Magnetic Pole is in a different position from the Geographical North Pole, and the lines of the earths magnetic forces are deflected by various agencies, the compass needle does not point toward the Geographical North Pole in most locations. The deflection of the compass needle from True North is called magnetic variation or declination. Thus, for example, where variation is west, north as indicated by the compass needle is west of True North by the number of degrees marked on the isogones, as illustrated by the upper left map on this plate. The upper right map indicates the average annual change of magnetic variation in minutes. The small inset map at the top of this plate, entitled Earthquake Probability, shows the damage which may result from earthquakes occurring in different parts of the country. The zones are graded from 0, where such earthquakes are likely to do no damage, to 3, where earthquakes are likely to do major damage. The small-type numbers indicate the magnitude of some recorded earthquakes. The index of magnitude is related to energy released rather than the damage done. A magnitude 5.6 is considered as the threshold at which damage begins. The four lower maps on this plate show co-tidal and co-range lines for/from the semi-diurnal and diurnal tides. A co-tidal line indicates the position of the crest of the tidal undulation at a given time. The hours marked on these lines are intervals in lunar time from that instant when the moon crosses the Greenwich meridian. A co-range line indicates the difference in level between the crest and the trough of the undulation.

  14. u

    Origin of the Population 1911 Maritime Provinces and Quebec, Ontario and...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Sep 13, 2024
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    (2024). Origin of the Population 1911 Maritime Provinces and Quebec, Ontario and Quebec - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/gov-canada-68d454f8-36bd-522f-8328-707beddeb42b
    Explore at:
    Dataset updated
    Sep 13, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Quebec, The Maritimes, Ontario, Canada
    Description

    Contained within the 2nd Edition (1915) of the Atlas of Canada is a plate that shows two maps. The first map shows the origin of the population in Ontario and western Quebec, circa 1911. The second map shows the origin of the population in Eastern Quebec and the Maritime Provinces, circa 1911. A varying number of ethnic groups are shown, but always included are: English, Scotch [Scottish], Irish, French and German. People of British origin predominate in all provinces, except Quebec, where the French predominate. The areas of Carleton county down to Kingston is predominated with Irish settlers. Counties and major railway systems displayed, extending into the U.S.

  15. a

    Live Stream Gauges

    • hub-gema-soc.opendata.arcgis.com
    • prep-response-portal.napsgfoundation.org
    • +29more
    Updated Jan 22, 2021
    + more versions
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    Esri (2021). Live Stream Gauges [Dataset]. https://hub-gema-soc.opendata.arcgis.com/datasets/esri2::live-stream-gauges
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    Dataset updated
    Jan 22, 2021
    Dataset authored and provided by
    Esri
    Area covered
    Description

    Information on the amount of water flowing in streams and rivers is critical to the management of water resources, emergency response to flooding, fisheries management, and many other uses. This layer provides access to near real-time stream gauge readings compiled from a variety of agencies and organizations.Dataset SummaryThe Live Stream Gauges layer contains near real-time measurements of water depth from multiple reporting agencies recording at sensors across the world. This layer updates every hour. Flow forecasts are provided where available. These sensor feeds are owned and maintained by the GIS community via the Community Maps Program. For details on the coverage in this map and to find out how to contribute your organization's gauges, please email environment@esri.com.Contributors to the Live Stream Gauges Service:United States Geological Survey (USA)National Weather Service (USA) * Includes Stage Status * Includes Flood Forecast Status *Washington State Department of Ecology (USA)San Joaquin County (USA)Maricopa County Flood Control District (USA)Minnesota Department of Natural Resources (USA)PEGELONLINE (Germany) * Includes Stage Status *Bureau of Meteorology (Australia)Horizons Regional Council (New Zealand) Environment Agency (UK)Nebraska Department of Natural Resources (USA) * Includes Stage Status *Iowa Flood Center (USA)Oregon Water Resource Department (USA)Dartmouth Flood Observatory (Global) * Includes Stage Status * Suspended *Meteorological Service of Canada (Canada)Volusia County Florida (USA) * Suspended *Somali Water and Land Information Management (Somalia) * Includes Stage Status *Office of Public Works (Ireland)RevisionsApr 15, 2025: Added fields for Flood Forecast Status for Full, 24 Hour, 48 Hour, and 72 Hour Forecast PeriodsFeb 13, 2024: Dartmouth Flood Observatory, suspended by government cutbacksDec 13, 2024: Added 'Status Classification' field, allowing symbol level draw order based on severity of flood status!Aug 26, 2024: Corrected update issue with USGS source data reported by several users.Aug 14, 2024: Updated USGS feed to pull from JSON data source, see: https://waterservices.usgs.gov/Jul 24, 2024: Added Office of Public Works (Ireland) dataJul 10, 2024: National Weather Service (NOAA) source reinstated after provider fix!Jul 8, 2024: Volusia County Florida, suspended during administrative holdJul 5, 2024: National Weather Service (NOAA) source stopped updating, suspended waiting on provider to correctMay 28, 2024: National Weather Service (NOAA) source updated, replaced retired AHPS with NWPSJan 22, 2024: Reinstated Somali Water and Land Management source after they successfully migrated to HTTPS ProtocolJan 3, 2024: Somali Water and Land Management source deactivated until Web Site issues are resolved!Mar 20, 2023: Nebraska DNR has been updated to leverage new source and now honors Stage Status!Feb 16, 2023: Nebraska DNR source update temporarily disabled due to source repository change!Aug 10, 2021: Added missing source for Nova Scotia CanadaJul 3, 2021: Added Somali Water and Land Information Management dataJun 30, 2021: Added Volusia County dataFeb 9, 2021: Refinements and Fixes:Corrections to Flow conversion for 'Environment Agency - UK'Corrections to Flow conversion for 'Horizons Regional Council - New Zealand'Added display of Metric Stage Height and Flow to PopupJan 27, 2021: Official release of Feature Service offering. Upgrades include:Automatic addition of new source stationsRemoval of stations with data older than 180 daysAddition of 'Governing Location' field that provides geographic State or Province (optional) plus Country NameAddition of 'Hours Since Last Update' field that maintains the age since gauge data was last updated

  16. i

    IDNR Confirmed Kudzu Locations

    • indianamap.org
    • indianamapold-inmap.hub.arcgis.com
    Updated Apr 27, 2023
    + more versions
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    IndianaMap (2023). IDNR Confirmed Kudzu Locations [Dataset]. https://www.indianamap.org/maps/8fbf36f0bd6347eaa50d03c51cd660d3
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    Dataset updated
    Apr 27, 2023
    Dataset authored and provided by
    IndianaMap
    Description

    Kudzu (Pueraria lobata) is an invasive vine that was introduced to the U.S. from Japan and distributed throughout the South for erosion control. Unfortunately, it quickly became a problem because of its rapid growth. “The Vine that ate the South” is no longer just a southern problem either. Kudzu sites have been found in Indiana counties bordering Michigan, and some sites have been here for decades and survived numerous cold winters. Kudzu was reported in Ontario, Canada in 2009.Kudzu can cause serious damage to forests. It also can harbor soybean pests and diseases such as soybean rust and the bean plataspid (kudzu bug).We are attempting to identify and speak with landowners that have kudzu on their property or are adjacent to infested areas. The DNR Division of Entomology & Plant Pathology is working with landowners to reduce kudzu on properties to a level that can be managed by the average person. To report a kudzu site, call 1-866-NOEXOTIC, or contact Ken Cote at the Bloomington field office at 812-322-7249 or email kcote@dnr.IN.gov.

  17. a

    Soil Survey Complex

    • aki-gittagim-magoon-anishinabek.hub.arcgis.com
    Updated Feb 25, 2021
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    AKI-GITTAGIM-MAGOON (2021). Soil Survey Complex [Dataset]. https://aki-gittagim-magoon-anishinabek.hub.arcgis.com/datasets/soil-survey-complex
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    Dataset updated
    Feb 25, 2021
    Dataset authored and provided by
    AKI-GITTAGIM-MAGOON
    Area covered
    Description

    Ontario Ministry of Agriculture, Food, and Rural Affairs and Agriculture and Agri-Food Canada, in cooperation with the Ministry of Natural Resources, have compiled a geo-spatial soils database for Southern Ontario. The database consolidated the existing digital soil data mapped on a county basis into a digitally stitched and standardized product.

    The soil survey data was mapped by a number of soil surveyors from the 1920s to the 1990s. The Soil Ontario product incoporates soil information from a variety of map scales. The project has brought the individual county or regional municipality surveys together in a digitally stitched database which reveals inconsistencies in soil data across county boundaries. Using GIS and NRVIS (Natural Resource Values Information System) a GIS Specialist matched the soil polygons that crossed boundaries using the best available resources.

    Additional Metadata Location: Agriculture and AgriFood Canada - Canada Soils Information System

    Additional Metadata:

    Canadian Soil Information Service

     Additional Documentation
    

    Soil Survey Complex - Data Description (PDF) Soil Survey Complex - Documentation (Word) Status On going: data is being continually updated Maintenance and Update Frequency As needed: data is updated as deemed necessary Contact Daniel Saurette, omafra.gis@ontario.ca

  18. a

    Soils (Ministry of Natural Resources and Forestry)

    • hub.arcgis.com
    • maps.grey.ca
    Updated Aug 17, 2023
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    Grey County (2023). Soils (Ministry of Natural Resources and Forestry) [Dataset]. https://hub.arcgis.com/datasets/2d22ded206e04fc59b006c8c23950e92
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    Dataset updated
    Aug 17, 2023
    Dataset authored and provided by
    Grey County
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Area covered
    Description

    The soil complex database contains other descriptive information including slope class, Canada Land Inventory (CLI) ranking, stoniness, drainage class, texture etc. The CLI components of the data layer is generally intended to be used as a tool for broad land use planning decision making, and not necessarily for field-level management. The soil complex information can also be applied to source water protection, nutrient management and soil erosion modeling. Note: The soil complex data layer is subject to a continuous improvement strategy - data was last download August 2023.Ontario Ministry of Agriculture, Food, and Rural Affairs and Agriculture and Agri-Food Canada, in cooperation with the Ministry of Natural Resources, have compiled a geo-spatial soils database for Southern Ontario. The database consolidated the existing digital soil data mapped on a county basis into a digitally stitched and standardized product.The soil survey data was mapped by a number of soil surveyors from the 1920s to the 1990s. The Soil Ontario product incorporates soil information from a variety of map scales. The project has brought the individual county or regional municipality surveys together in a digitally stitched database which reveals inconsistencies in soil data across county boundaries. Using GIS and NRVIS (Natural Resource Values Information System) a GIS Specialist matched the soil polygons that crossed boundaries using the best available resources.

  19. Conservation Atlas of Wetlands in the St. Lawrence Valley (1993-1994)

    • open.canada.ca
    • data.amerigeoss.org
    • +1more
    docx, html
    Updated Mar 28, 2017
    + more versions
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    Environment and Climate Change Canada (2017). Conservation Atlas of Wetlands in the St. Lawrence Valley (1993-1994) [Dataset]. https://open.canada.ca/data/en/dataset/37d4b456-3b23-4cd0-94c1-a77e6cef1c26
    Explore at:
    docx, htmlAvailable download formats
    Dataset updated
    Mar 28, 2017
    Dataset provided by
    Environment And Climate Change Canadahttps://www.canada.ca/en/environment-climate-change.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1993 - Dec 31, 1994
    Description

    The main purpose of the Conservation Atlas of Wetlands is to develop a portrait of the wetlands of the St. Lawrence Valley using innovative mapping methods in order to favor bird conservation by helping land managers to make decisions about land use and bird habitat conservation. Another objective was to develop methods needed to allow a monitoring of the St. Lawrence Valley wetlands and make a link to a potential national mapping project of that type as an indicator on environment quality in Canada. The Atlas is considered a large-scale project because of the area covered, the great variability in the area’s characteristics and the various types of wetlands encountered. Using Canadian RADARSAT satellite images, along with other sources of information available (e.g., digital hydrological and hypsometric data) and data from Landsat-TM images, the mapping has required certain adjustments and the use of innovative methods. Achieving the objectives set at the start of the project in the spring of 1999 has resulted in the following products: - A global mosaic of the distribution of wetlands in southern Québec - A 1:50 000 scale map showing the location of wetlands in each of the area’s regional county municipalities (RCMs) - Descriptive statistics on wetlands' characteristics (number, category, average area, etc.) to complement the maps, - Information and links to to sites that promote wetland conservation. In the last few years, the Canadian Wildlife Service of Environment Canada has been carrying out a project to map natural habitats using Landsat-TM imagery. This mapping has been used to apply methods for analysing landscape features in a large area of southern Québec in order to ensure adequate habitat protection and development. As a follow-up to the project, the CWS decided to produce an Atlas of wetlands in the St. Lawrence Valley. The CWS’s work has shown that multispectral imagery does not provide all the information needed to differentiate between some wetlands. For example, forested wetlands and flooded forests can be confused with other forested areas. To increase the accuracy of wetland identification, it was decided that radar imagery should be incorporated into the project. Research carried out in Canada and abroad is attempting to show that this imagery, when acquired at the right time, can help to differentiate wetlands and map agricultural land and grasslands. Mapping and appropriate wetland monitoring require remote sensing tools that are independent of cloud cover and sensitive to soil humidity. Equipped with SAR (Synthetic Aperture Radar) captors capable of providing high-resolution images unaffected by daytime and nighttime weather conditions, the Canadian RADARSAT satellite is able to map the exact boundaries of wetlands. Phase I: image acquisition Image acquisition took place between April 27, 1999 and June 11, 1999. The Data Acquisition Division of the Canada Centre for Remote Sensing established an acquisition plan based on various criteria, i.e., image acquisition had to take place in the ascending mode to eliminate the dew effect, it had to be carried out in a short time period (after flooding but before the dry spells of summer) and it had to offer the possibility of producing a mosaic for a large portion of the territory. Thirty-four images were finally acquired, 28 in fine mode and 6 in standard mode. Following this acquisition, a partnership agreement between Environment Canada, the Canadian Space Agency and the Geography Department of the University of Montréal was signed. In the project’s first phase, Landsat-TM images were used to mask certain soil types, which resulted in the production of a mosaic of RADARSAT images of southern Québec and preliminary image classification results. Although the product was generally satisfactory, it was felt that the mosaic image and the classified RADARSAT images could be improved. Phase II: a classification method development The CWS thus developed a new classification method that combines several formats of RADARSAT images (texture, homogeneity and contrast indices) with the decorrelated Landsat-TM image and a digital elevation model. Several hundreds ground control points were used as basic information to guide tree analysis. The preliminary results at test sites proved the method’s efficiency for these types of images. The wetlands of 68 RCMs in the St. Lawrence Valley could thus be classified. Phase III: final validation of maps Another phase of our work was the final validation of the Atlas maps. This was made possible through extensive consultation with Quebec wetlands experts (see the list of financial and technical partners in the Acknowledgements section). In all, over 60 hours of consultation took place with more than 30 experts in the various regions of Southern Québec. This final phase of the mapping project was dubbed “Operation Open House.” A complete series of 1:50 000 scale maps, drawn up according to the boundaries of the topographical maps (UTM co-ordinates), was printed out so that the various experts could examine them and, if necessary, signal any errors and plot the required corrections. It should be noted that there are two possible sources of discrepancies. Errors may have occurred during the image classification process, or may be a result of changes to wetlands since the two series of satellite images used for this project were taken (1993-1994 and 1999). We have assigned a specific code in the map legend for areas where such changes have occurred so that, until a second map is produced in the coming years, the reader can get an idea of the dynamics of these habitats and the major areas of change (disappearance or degradation of wetlands) resulting from various human activities. Phase IV: towards interactivity A fourth phase now allows to produce a map for the sector of their choice through the interactive mapping procedure and improve the database by adding supplementary information. Citation Bélanger, L., M. Grenier, 2003. Atlas de conservation des terres humides. Environnement Canada, Service canadien de la faune, région du Québec

  20. a

    Live Stream Gauges of Indiana

    • indianamap-inmap.hub.arcgis.com
    • indianamap.org
    Updated Dec 18, 2024
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    IndianaMap (2024). Live Stream Gauges of Indiana [Dataset]. https://indianamap-inmap.hub.arcgis.com/maps/INMap::live-stream-gauges-of-indiana
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    IndianaMap
    Area covered
    Indiana,
    Description

    Information on the amount of water flowing in streams and rivers is critical to the management of water resources, emergency response to flooding, fisheries management, and many other uses. This layer provides access to near real-time stream gauge readings compiled from a variety of agencies and organizations.Dataset SummaryThe Live Stream Gauges layer contains near real-time measurements of water depth from multiple reporting agencies recording at sensors across the world. This layer updates every hour. Flow forecasts are provided where available. These sensor feeds are owned and maintained by the GIS community via the Community Maps Program. For details on the coverage in this map and to find out how to contribute your organization's gauges, please email environment@esri.com.Contributors to the Live Stream Gauges Service:United States Geological Survey (USA)National Weather Service (USA) * Includes Stage Status *Washington State Department of Ecology (USA)San Joaquin County (USA)Maricopa County Flood Control District (USA)Minnesota Department of Natural Resources (USA)PEGELONLINE (Germany) * Includes Stage Status *Bureau of Meteorology (Australia)Horizons Regional Council (New Zealand) Environment Agency (UK)Nebraska Department of Natural Resources (USA) * Includes Stage Status *Iowa Flood Center (USA)Oregon Water Resource Department (USA)Dartmouth Flood Observatory (Global) * Includes Stage Status *Meteorological Service of Canada (Canada)Volusia County Florida (USA) * Suspended *Somali Water and Land Information Management (Somalia) * Includes Stage Status *Office of Public Works (Ireland)RevisionsDec 13, 2024: Added 'Status Classification' field, allowing symbol level draw order based on severity of flood status!Aug 26, 2024: Corrected update issue with USGS source data reported by several users.Aug 14, 2024: Updated USGS feed to pull from JSON data source, see: https://waterservices.usgs.gov/Jul 24, 2024: Added Office of Public Works (Ireland) dataJul 10, 2024: National Weather Service (NOAA) source reinstated after provider fix!Jul 8, 2024: Volusia County Florida, suspended during administrative holdJul 5, 2024: National Weather Service (NOAA) source stopped updating, suspended waiting on provider to correctMay 28, 2024: National Weather Service (NOAA) source updated, replaced retired AHPS with NWPSJan 22, 2024: Reinstated Somali Water and Land Management source after they successfully migrated to HTTPS ProtocolJan 3, 2024: Somali Water and Land Management source deactivated until Web Site issues are resolved!Mar 20, 2023: Nebraska DNR has been updated to leverage new source and now honors Stage Status!Feb 16, 2023: Nebraska DNR source update temporarily disabled due to source repository change!Aug 10, 2021: Added missing source for Nova Scotia CanadaJul 3, 2021: Added Somali Water and Land Information Management dataJun 30, 2021: Added Volusia County dataFeb 9, 2021: Refinements and Fixes:Corrections to Flow conversion for 'Environment Agency - UK'Corrections to Flow conversion for 'Horizons Regional Council - New Zealand'Added display of Metric Stage Height and Flow to PopupJan 27, 2021: Official release of Feature Service offering. Upgrades include:Automatic addition of new source stationsRemoval of stations with data older than 180 daysAddition of 'Governing Location' field that provides geographic State or Province (optional) plus Country NameAddition of 'Hours Since Last Update' field that maintains the age since gauge data was last updated

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Government of Ontario (2025). Municipal boundaries [Dataset]. https://open.canada.ca/data/en/dataset/2bee144c-4c52-4ce3-bd9a-e7c1166f2402
Organization logo

Municipal boundaries

Explore at:
esri rest, html, zipAvailable download formats
Dataset updated
Jun 18, 2025
Dataset provided by
Government of Ontariohttps://www.ontario.ca/
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Description

Contains 2 datasets: * lower and single tier municipalities * upper tier municipalities and districts.

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