45 datasets found
  1. w

    St Lawrence 1:250 000 GIS Dataset

    • data.wu.ac.at
    • researchdata.edu.au
    • +1more
    kml, shp, zip
    Updated Jun 26, 2018
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    (2018). St Lawrence 1:250 000 GIS Dataset [Dataset]. https://data.wu.ac.at/schema/data_gov_au/NzBmMWNjODQtZGQzNy00Y2Q1LWJiNDItMDNmMDliN2VmOTNi
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    zip, shp, kmlAvailable download formats
    Dataset updated
    Jun 26, 2018
    License

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

    Area covered
    f00154b69a219c9e713931da99ce558eefbcd820
    Description

    This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

  2. d

    Shoreline Data Rescue Project of St. Lawrence Island, AK, PH5349B

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Oct 31, 2024
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    NGS Communications and Outreach Branch (Point of Contact, Custodian) (2024). Shoreline Data Rescue Project of St. Lawrence Island, AK, PH5349B [Dataset]. https://catalog.data.gov/dataset/shoreline-data-rescue-project-of-st-lawrence-island-ak-ph5349b1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    NGS Communications and Outreach Branch (Point of Contact, Custodian)
    Area covered
    St. Lawrence Island
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of St. Lawrence Island, AK suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

  3. St Lawrence River ESI 2021

    • noaa.hub.arcgis.com
    Updated Feb 27, 2024
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    NOAA GeoPlatform (2024). St Lawrence River ESI 2021 [Dataset]. https://noaa.hub.arcgis.com/maps/c5a09f9169564140a86f6a0bd9c42b6c
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    Dataset updated
    Feb 27, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    Environmental Sensitivity Index (ESI) data characterize the marine and coastal environments and wildlife based on sensitivity to spilled oil. There are three main components: shoreline habitats, sensitive biological resources, and human-use resources. The shoreline and intertidal areas are ranked based on sensitivity determined by: (1) Shoreline type (substrate, grain size, tidal elevation, origin); (2) Exposure to wave and tidal energy; (3) Biological productivity and sensitivity; and (4) Ease of cleanup. The biology layers focus on threatened/endangered species, areas of high concentration and areas where sensitive life stages may occur. Supporting data tables provide species/location-specific abundance, seasonality, status, life history, and source information Human use resources mapped include managed areas (parks, refuges, critical habitats, etc) and resources that may be impacted by oiling and/or clean-up, such as beaches, archaeological sites marinas etc. ESIs are available for the majority of the US coastline, as well as the US territories. ESI data are available in a variety of GIS formats as well as PDF maps.For more information go to or to download complete ESI data sets go to: https://response.restoration.noaa.gov/esiFor the full metadata record please go to: https://www.fisheries.noaa.gov/inport/item/64940For online ESI query tools, see the Environmental Response Management Application (ERMA): https://response.restoration.noaa.gov/resources/maps-and-spatial-data/environmental-response-management-application-erma

  4. Shoreline Mapping Program of ST LAWRENCE RIVER, MORRISTOWN TO MASSENA,...

    • fisheries.noaa.gov
    • gimi9.com
    • +1more
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). Shoreline Mapping Program of ST LAWRENCE RIVER, MORRISTOWN TO MASSENA, NY-ONT, NY0905F [Dataset]. https://www.fisheries.noaa.gov/inport/item/60949
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Oct 10, 2008 - Oct 12, 2008
    Area covered
    Description

    These data provide an accurate high-resolution shoreline compiled from imagery of ST LAWRENCE RIVER, MORRISTOWN TO MASSENA, NY-ONT . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal C...

  5. a

    Berks County Tax Map Index Map: St Lawrence

    • hub.arcgis.com
    Updated Feb 8, 2023
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    County of Berks (2023). Berks County Tax Map Index Map: St Lawrence [Dataset]. https://hub.arcgis.com/documents/85448b10a66a4d3e98553cb8444ac0b8
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    Dataset updated
    Feb 8, 2023
    Dataset authored and provided by
    County of Berks
    Description

    An official index map of tax maps by municipality for the County of Berks Assessment Department.

  6. Thousand Islands Sites

    • noaa.hub.arcgis.com
    Updated Mar 24, 2021
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    NOAA GeoPlatform (2021). Thousand Islands Sites [Dataset]. https://noaa.hub.arcgis.com/datasets/256257d408a3499eb2968de8ec0937e8
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    Dataset updated
    Mar 24, 2021
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    This layer was created for a StoryMap (https://storymaps.arcgis.com/stories/9ab4046b9bc94ccaa895a481b8ce4c4b) using content from the Draft Environmental Impact Statement created for the proposed Lake Ontario National Marine Sanctuary. The Lake Ontario DEIS is published here: https://sanctuaries.noaa.gov/library/alldocs.html. The hyperlink to the DEIS is as follows: https://nmssanctuaries.blob.core.windows.net/sanctuaries-prod/media/docs/20210701-proposed-lake-ontario-national-marine-sanctuary-draft-environmental-impact-statement.pdf.

  7. Shoreline Data Rescue Project of St. Lawrence River, CM-8205

    • fisheries.noaa.gov
    • catalog.data.gov
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). Shoreline Data Rescue Project of St. Lawrence River, CM-8205 [Dataset]. https://www.fisheries.noaa.gov/inport/item/61007
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Oct 1, 1982
    Area covered
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of St. Lawrence River suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attrib...

  8. a

    Berks Emergency Service Zone Map: Saint Lawrence

    • hub.arcgis.com
    • opendata.berkspa.gov
    Updated Jan 25, 2024
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    County of Berks (2024). Berks Emergency Service Zone Map: Saint Lawrence [Dataset]. https://hub.arcgis.com/documents/e457f213a80f4497bfd3f05f16799cda
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    Dataset updated
    Jan 25, 2024
    Dataset authored and provided by
    County of Berks
    Description

    A map of municipal emergency services zones/ESZs created for use by the County of Berks Department of Emergency Services and other County emergency response agencies.

  9. a

    Southern Gulf of St. Lawrence Snow Crab Research Trawl Survey Dataset

    • data-with-cpaws-nl.hub.arcgis.com
    • catalogue.arctic-sdi.org
    • +1more
    Updated Sep 9, 2020
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    cgp_aafc (2020). Southern Gulf of St. Lawrence Snow Crab Research Trawl Survey Dataset [Dataset]. https://data-with-cpaws-nl.hub.arcgis.com/maps/eee95503b11f480eaa0ad54e1b440918
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    Dataset updated
    Sep 9, 2020
    Dataset authored and provided by
    cgp_aafc
    License

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

    Area covered
    Description

    Tow, catch, and biological information for crab caught during the annual snow crab research vessel trawl survey in the southern Gulf of St. Lawrence.For more information, visit: https://open.canada.ca/data/en/dataset/d73d12ed-cf4a-9f61-d249-58e8eb6b9711

  10. n

    NYS Tax Parcels Public

    • data.gis.ny.gov
    • opdgig.dos.ny.gov
    • +1more
    Updated Dec 20, 2022
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    ShareGIS NY (2022). NYS Tax Parcels Public [Dataset]. https://data.gis.ny.gov/datasets/nys-tax-parcels-public-1
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    Dataset updated
    Dec 20, 2022
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description

    Publication Date: April 2025. This polygon layer is updated annually.

    This layer contains 2024 parcel data only for NY State counties which gave NYS ITs Geospatatial Services permission to share this data with the public. Work to obtain parcel data from additional counties, as well as permission to share the data, is ongoing. To date, 36 counties have provided the Geospatial Services permission to share their parcel data with the public. Parcel data for counties which do not allow the Geospatial Services to redistribute their data must be obtained directly from those counties. Geospatial Services' goal is to eventually include parcel data for all counties in New York State.

    Parcel geometry was incorporated as received from County Real Property Departments. No attempt was made to edge-match parcels along adjacent counties. County attribute values were populated using 2024 Assessment Roll tabular data Geospatial Services obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS). Tabular assessment data was joined to the county provided parcel geometry using the SWIS & SBL or SWIS & PRINT KEY unique identifier for each parcel.

    Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm. New York City data comes from NYC MapPluto which can be found here: https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page.

    This layer displays when zoomed in below 1:37,051-scale.

    This map service is available to the public.

    Geometry accuracy varies by contributing county.

    Thanks to the following counties that specifically authorized Geospatial Services to share their GIS tax parcel data with the public: Albany, Cayuga, Chautauqua, Cortland, Erie, Genesee, Greene, Hamilton, Lewis, Livingston, Montgomery, New York City (Bronx, Kings, New York, Queens, Richmond), Oneida, Onondaga, Ontario, Orange, Oswego, Otsego, Putnam, Rensselaer, Rockland, Schuyler, Steuben, St Lawrence, Suffolk, Sullivan, Tioga, Tompkins, Ulster, Warren, Wayne, and Westchester.

    The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.

  11. Water File - Lakes and Rivers (polygons) - 2011 Census

    • open.canada.ca
    • ouvert.canada.ca
    • +1more
    gml, html, shp
    Updated Feb 24, 2022
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    Statistics Canada (2022). Water File - Lakes and Rivers (polygons) - 2011 Census [Dataset]. https://open.canada.ca/data/en/dataset/448ec403-6635-456b-8ced-d3ac24143add
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    gml, shp, htmlAvailable download formats
    Dataset updated
    Feb 24, 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

    Time period covered
    Jan 1, 2011
    Description

    Water files are provided for the mapping of inland and coastal waters, Great Lakes and the St. Lawrence River. These files were created to be used in conjunction with the boundary files.

  12. a

    Data from: Qualitative petroleum resource assessment of the Magdalen Basin...

    • catalogue.arctic-sdi.org
    • open.canada.ca
    Updated Dec 17, 2024
    + more versions
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    (2024). Qualitative petroleum resource assessment of the Magdalen Basin in the Gulf of St. Lawrence; Quebec, Prince Edward Island, New Brunswick, Nova Scotia, and Newfoundland and Labrador [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/resources/persons/lindsay.kung%40canada.ca
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    Dataset updated
    Dec 17, 2024
    Area covered
    Gulf of Saint Lawrence
    Description

    GIS compilation of data used to perform the stacked cumulative chance of success (resource potential map) in Open file 8556. Natural Resources Canada (NRCan) has been tasked, under the Marine Conservation Targets (MCT) initiative announced in Budget 2016, with evaluating the petroleum resource potential for areas identified for possible protection as part of the Government of Canada's commitment to conserve 10% of its marine areas by 2020. As part of this initiative, NRCan's Geological Survey of Canada (GSC) conducted a broad regional study of the petroleum potential over the majority of the Magdalen Basin, which is the principal geological basin in the southern Gulf of St. Lawrence. The GSC resource assessment is visually represented by a qualitative petroleum potential map. Disclaimer: A simplified colored version of the map is displayed on the Web Mapping Service (WMS). The correct version is available for download through the Federal Geospatial Platform (FGP) and GEOSCAN.

  13. a

    Ferry Routes, Newfoundland and Labrador (Gulf of St Lawrence)

    • data-with-cpaws-nl.hub.arcgis.com
    Updated May 11, 2022
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    Ferry Routes, Newfoundland and Labrador (Gulf of St Lawrence) [Dataset]. https://data-with-cpaws-nl.hub.arcgis.com/maps/660ea03813044a4fa738728a446a3648
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    Dataset updated
    May 11, 2022
    Dataset authored and provided by
    Canadian Parks and Wilderness Society
    Area covered
    Description

    This data was created from general online information, the Marine Traffic website and the Navigation basemap used by ArcGIS Pro version 2.8.1. This data was generated to assist marine conservation and marine education initiatives. This data was compiled in May 2022, the information was presented from the best available at the time. Services are always changing, users should complete their own assessment and use their own judgement before using data for any application.

  14. n

    NYS Senate Districts

    • data.gis.ny.gov
    • hub.arcgis.com
    • +1more
    Updated Oct 31, 2022
    + more versions
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    ShareGIS NY (2022). NYS Senate Districts [Dataset]. https://data.gis.ny.gov/maps/nys-senate-districts/explore
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    Dataset updated
    Oct 31, 2022
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description

    Boundaries (polygons) of NYS Senate districts with name and contact info for each member of the NYS Senate. Districts based on Legislative Task Force redistricting 2022. Information on representative based on Senate website as of 6-6-2025. Please contact Geospatial Services at nysgis@its.ny.gov if you have any questions. All district boundaries have been clipped to the NYS shoreline. This affects the following counties: Bronx, Cayuga, Chautauqua, Clinton, Erie, Essex, Franklin, Jefferson, Kings, Monroe, Nassau, New York, Niagara, Orleans, Oswego, Queens, Richmond, St. Lawrence, Suffolk, Washington, Wayne, Westchester.

  15. a

    City of Lawrence Street Base Map (Vector)

    • geoportal-lawrenceks.hub.arcgis.com
    Updated Feb 28, 2024
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    City of Lawrence, Kansas (2024). City of Lawrence Street Base Map (Vector) [Dataset]. https://geoportal-lawrenceks.hub.arcgis.com/datasets/city-of-lawrence-street-base-map-vector
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    Dataset updated
    Feb 28, 2024
    Dataset authored and provided by
    City of Lawrence, Kansas
    Area covered
    Description

    Streets base map created by the City of Lawrence, Kansas. Extent of the data is Douglas County, Kansas. Map includes road centerline, highways, incorporated city limits, topography, water bodies, Lawrence parks, Lawrence universities, building footprints. Coordinate system is NAD 1983 State Plane Kansas North FIPS 1501 (US Feet). Updated quarterly or as needed.Version 1.0 - Initial published version 2/28/2024

  16. n

    Landward Coastal Area Boundary

    • data.gis.ny.gov
    • opdgig.dos.ny.gov
    Updated Aug 3, 2022
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    New York State Department of State (2022). Landward Coastal Area Boundary [Dataset]. https://data.gis.ny.gov/datasets/3a08ed4c68774a4798865a69b8c61cfe
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    Dataset updated
    Aug 3, 2022
    Dataset authored and provided by
    New York State Department of Statehttp://www.dos.ny.gov/
    Area covered
    Description

    The New York State Coastal Management Program has established statewide boundaries in accordance with the requirements of the Coastal Zone Management Act of 1972, as amended, and its subsequently issued rules and regulations. The Coastal Map provides an estimation of the official New York State Coastal Area Boundary as defined in Section II of the New York State Coastal Management Program and Final Environmental Impact Statement (CMP FEIS). The coastal boundary was originally created as a set of maps at a scale of 1:48000. This digital representation has been created from the original paper copies through "heads-up" digitizing using geographic information software and the digital NYSDOT planimetric quadrangles at a scale of 1:24000. The official coastal boundary is a written description contained in the federally approved New York State Coastal Management Program, LIS CMP, and applicable LWRPs. The waterward boundary extends 3 miles into open ocean, to shared state lines in Long Island Sound and the New York Bight and to the International boundary in the Great Lakes, Niagara and St. Lawrence Rivers. Generally, the inland boundary is approximately 1,000 feet from the shoreline following well-defined features such as roads, railroads or shorelines as described in the CMP FEIS, unless otherwise indicated. Where necessary this boundary extends inland to include major state owned lands and facilities and electic power generation facilities which abut on the shoreline, major coastal recreational areas, significant agricultural lands, significant coastal habitats, scenic viewsheds of State or national significance, major historic or coastal dependent industrial areas, and the 100 year flood plain. In urbanized and other developed locations along the coast, the landward boundary is approximately 500 feet from the shoreline or less than 500 feet at locations where a major roadway or railway line runs parallel to the shoreline. The seaward boundary of New York State's coastal area includes all coastal waters within its territorial jurisdiction.View Dataset on the Gateway

  17. n

    NYS Assembly Districts

    • opdgig.dos.ny.gov
    • data.gis.ny.gov
    • +1more
    Updated Oct 31, 2022
    + more versions
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    ShareGIS NY (2022). NYS Assembly Districts [Dataset]. https://opdgig.dos.ny.gov/datasets/bce964dbd79049e6880c6070d54aab80
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    Dataset updated
    Oct 31, 2022
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description

    Boundaries (polygons) of NYS Assembly districts in New York State with name and contact info for each member of the NYS Assembly. Districts based on Legislative Task Force redistricting 2024. Information on representative based on assembly website as of 5-8-2025.Please contact Geospatial Services at nysgis@its.ny.gov if you have any questions.All district boundaries have been clipped to the NYS shoreline. This affects the following counties: Bronx, Cayuga, Chautauqua, Clinton, Erie, Essex, Franklin, Jefferson, Kings, Monroe, Nassau, New York, Niagara, Orleans, Oswego, Queens, Richmond, St. Lawrence, Suffolk, Washington, Wayne, Westchester.

  18. a

    U.S. Great Lakes Collaborative Benthic Habitat Mapping Project Map: Spatial...

    • noaa.hub.arcgis.com
    Updated Feb 20, 2025
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    NOAA GeoPlatform (2025). U.S. Great Lakes Collaborative Benthic Habitat Mapping Project Map: Spatial Prioritization [Dataset]. https://noaa.hub.arcgis.com/maps/5250492c0d4e47ceb11733cd94c9d43f
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    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    NOAA GeoPlatform
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    THIS MAP IS NOT AUTHORITATIVE. SEE TERMS OF USE BELOW.This web map was developed by the National Oceanic and Atmospheric Administration’s (NOAA) Office for Coastal Management and is featured in the U.S. Great Lakes Collaborative Benthic Habitat Mapping Common Operating Dashboard in support of the Collaborative Benthic Habitat Mapping in the Nearshore Waters of the Great Lakes Basin Project. This multi-year, multi-agency project is funded through the Great Lakes Restoration Initiative (GLRI) and focuses on new bathymetric data (airborne lidar and vessel based sonar) acquisition, validation, and benthic habitat characterization mapping of the nearshore waters (0-80 meters) in the U.S. Great Lakes. This project also contributes to the regional Lakebed 2030 campaign, which aims to have high-density bathymetric data available for the entirety of the Great Lakes by 2030. This web map contains data layers reflecting the current status of bathy data coverage in the nearshore (0-80 meters) of the U.S. Great Lakes, including acquisition (lidar and multibeam sonar), ground-truthing/validation, and benthic habitat mapping and characterization. Acquisition layers include coverage areas that have been acquired and are available for public use (green) as well as those that have been acquired, but are not yet available or are still in progress (orange). The nearshore water depth layers (0-25 and 25-80 meters) were created using the National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts. The 0 to 25 meter nearshore water depth layer represents areas where bathymetric lidar data acquisition could ideally be conducted, depending on water condition and turbidity. The 25 to 80 meter layer shows locations where acoustic data acquisition can occur. See below for information on additional data layers. All data originally projected in the following coordinate system: EPSG:3175, NAD 1983 Great Lakes and St Lawrence Albers.This map will continue to be updated as new information is made available.Source Data for Bathy Coverage Layers - Acquired/Available:Topobathy and Bathy Lidar (NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/). Multibeam Sonar (National Centers for Environmental Information (NCEI) Bathymetric Data Viewer: https://www.ncei.noaa.gov/maps/bathymetry/; NOAA's Data Access Viewer: https://coast.noaa.gov/dataviewer/#/; U.S. Interagency Elevation Inventory (USIEI): https://coast.noaa.gov/inventory/; USGS ScienceBaseCatalog: https://www.sciencebase.gov/catalog/item/656e229bd34e7ca10833f950)Source Data for Bathy Coverage Layers - GLRI AOIs (2020-2024):Acquisition: NOAA Office for Coastal ManagementValidation/CMECS Characterizations: NOAA National Centers for Coastal Ocean Science (NCCOS)Source Data for Bathy Coverage Layers - In Progress and Planned:NOAA Office of Coast Survey Plans: https://gis.charttools.noaa.gov/arcgis/rest/services/Hydrographic_Services/Planned_Survey_Areas/MapServer/0NOAA Office for Coastal ManagementSource Data for Nearshore Water Depths:NOAA's National Centers for Environmental Information (NCEI) Great Lakes Bathymetry (3-second resolution) grid extracts: https://www.ncei.noaa.gov/maps/grid-extract/Source Data for Spatial Prioritization Layers:Great Lakes Spatial Priorities Study Results Jun 2021. https://gis.charttools.noaa.gov/arcgis/rest/services/IOCM/GreatLakes_SPS_Results_Jun_2021/MapServerMapping priorities within the proposed Wisconsin Lake Michigan National Marine Sanctuary (2018). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_WILMPrioritizationResults/MapServerThunder Bay National Marine Sanctuary Spatial Prioritization Results (2020). https://gis.ngdc.noaa.gov/arcgis/rest/services/nccos/BiogeographicAssessments_TBNMSPrioritizationResults/MapServerSource Data for Supplemental Data Layers:International Boundary Commission U.S./Canada Boundary (version 1.3 from 2018): https://www.internationalboundarycommission.org/en/maps-coordinates/coordinates.phpNational Oceanic and Atmospheric Administration (NOAA) HydroHealth 2018 Survey: https://wrecks.nauticalcharts.noaa.gov/arcgis/rest/services/Hydrographic_Services/HydroHealth_2018/ImageServerNational Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas (MPA) Inventory 2023-2024: https://www.fisheries.noaa.gov/inport/item/69506National Oceanic and Atmospheric Administration (NOAA) National Marine Sanctuary Program Boundaries (2021): https://services2.arcgis.com/C8EMgrsFcRFL6LrL/arcgis/rest/services/ONMS_2021_Boundaries/FeatureServerNational Oceanic and Atmospheric Administration (NOAA) U.S. Bathymetry Gap Analysis: https://noaa.maps.arcgis.com/home/item.html?id=4d7d925fc96d47d9ace970dd5040df0aU.S. Environment Protection Agency (EPA) Areas of Concern: https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/epa_areas_of_concern_glahf_viewlayer/FeatureServerU.S. Geological Survey (USGS) Great Lakes Subbasins: https://www.sciencebase.gov/catalog/item/530f8a0ee4b0e7e46bd300dd Latest update: February 20, 2025

  19. n

    Lake Ontario Embayments Shoreline Classification

    • opdgig.dos.ny.gov
    Updated Feb 9, 2021
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    New York State Department of State (2021). Lake Ontario Embayments Shoreline Classification [Dataset]. https://opdgig.dos.ny.gov/datasets/67df05011c4e4a3784d59eac0f5df3a4
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    Dataset updated
    Feb 9, 2021
    Dataset authored and provided by
    New York State Department of State
    Area covered
    Description

    The New York State shoreline of Lake Ontario was classified in 2002 during the International Joint Commission's Lake Ontario - St. Lawrence River (LOSLR) water level regulation study based on 1 km reaches. The New York State Department of Conservation (NYSDEC) desired a more precise classification of the shoreline, and as a result AECOM reviewed 2012 oblique imagery provided by the US Army Corps of Engineers (USACE) to define detailed shoreline reaches. AECOM generated a spatially referenced feature class for shoreline classifications which represents a more precise version of the shoreline classification feature class generated during the 2002 LOSLR study. The 2002 LOSLR study was used as a baseline to generate classifications. For consistency, geomorphic classification and structural classification types from the LOSLR study were used. Creation Date: 06/13/12. Latest Modification Date: 04/1/13.This datalayer provides information obtained as a result of oblique imagery review for the embayments along the New York State portion of Lake Ontario.The shoreline was divided into reaches and this dataset represents the line features for those reaches for the U.S. shoreline of Lake Ontario coded as embayments by the LOSLR study in 2002. Each feature within the data layer produced by AECOM represents a reach of shoreline of differing classification. Classification reaches were not defined according to a set unit of measure. In some instances a shoreline classification may span a couple thousand feet, spanning multiple tax parcels. In other instances, multiple classifications may exist for a single tax parcel.Original shoreline boundary was taken from the CityTown.shp datafile from the NYS Civil Boundaries (database) provided by NYS Office of Cyber Security (NYSOGS) via the NYS GIS Clearinghouse website for the following counties: (Niagara, Orleans, Monroe, Wayne, Cayuga, Oswego). Original shoreline boundary was taken from the NHDFlowline.shp datafile from the National Hydrography Dataset (NHD) (database) provided by NYSDEC via the NYS GIS Clearinghouse website for the following counties: (Jefferson). The shoreline polyline was modified to most accurately represent the actual shoreline based on 2010-2012 Bing Maps aerial imagery. The shapefile was split by shoreline type based on review of 2012 oblique imagery provided by the U.S. Army Corps of Engineers via: http://greatlakes.usace.army.mil.Attribute Fields:Shoreline_Code (Shoreline Type): The shoreline geomorphic classification for the type of shoreline (even if structure exists)Structural_Code_Primary (Structural Type (Primary)): The type of primary structural protection (closest to the shore)Structural_Condition_Primary (Structure Condition (Primary)): The condition of the primary structural protectionStructural_Code_Secondary (Structural Type (Secondary)): The type of secondary structural protectionStructural_Condition_Secondary (Structure Condition (Secondary)): The condition of the secondary structural protectionNotes (Notes): Notes recroded during the oblique imagery reviewTown: New York town where the shoreline is locatedCounty: New York county where the shoreline is located.View Dataset on the Gateway

  20. a

    NYS Congressional Districts

    • new-york-opd-geographic-information-gateway-nysdos.hub.arcgis.com
    • opdgig.dos.ny.gov
    • +1more
    Updated Oct 31, 2022
    + more versions
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    ShareGIS NY (2022). NYS Congressional Districts [Dataset]. https://new-york-opd-geographic-information-gateway-nysdos.hub.arcgis.com/maps/sharegisny::nys-congressional-districts/about
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    Dataset updated
    Oct 31, 2022
    Dataset authored and provided by
    ShareGIS NY
    Area covered
    Description

    Boundaries (polygons) of US Congressional (House of Representatives) districts in New York State with name and contact info for Congressperson. Districts based on Legislative Task Force redistricting 2024. Information on representative based on congressional website as of 1-14-2025.Please contact Geospatial Services at nysgis@its.ny.gov if you have any questions.All district boundaries have been clipped to the NYS shoreline. This affects the following counties: Bronx, Cayuga, Chautauqua, Clinton, Erie, Essex, Franklin, Jefferson, Kings, Monroe, Nassau, New York, Niagara, Orleans, Oswego, Queens, Richmond, St. Lawrence, Suffolk, Washington, Wayne, Westchester.

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(2018). St Lawrence 1:250 000 GIS Dataset [Dataset]. https://data.wu.ac.at/schema/data_gov_au/NzBmMWNjODQtZGQzNy00Y2Q1LWJiNDItMDNmMDliN2VmOTNi

St Lawrence 1:250 000 GIS Dataset

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zip, shp, kmlAvailable download formats
Dataset updated
Jun 26, 2018
License

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

Area covered
f00154b69a219c9e713931da99ce558eefbcd820
Description

This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

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