42 datasets found
  1. USA Northeast Region

    • anrgeodata.vermont.gov
    Updated Jul 8, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri (2015). USA Northeast Region [Dataset]. https://anrgeodata.vermont.gov/content/3eaa5dfcc6864694a887af3aafaca14b
    Explore at:
    Dataset updated
    Jul 8, 2015
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This map is designed for use in ArcGIS Navigator and contains data for the U.S. Northeast Region supporting map display, geocoding and routing. The U.S. Northeast Region includes Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont.
    The data is from ArcGIS StreetMap Premium North America 2025 Release 1 (based on TomTom 2024.12 vintage).

    Note: Only the latest version of the map is available for download. See the 
    Navigator map coverage 
    and click on the map to access details (including file size, updated date, and data source).
    
  2. n

    Dredge Projects (Polygon) of the US Army Corps of Engineers in Massachusetts...

    • cmr.earthdata.nasa.gov
    Updated Apr 20, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Dredge Projects (Polygon) of the US Army Corps of Engineers in Massachusetts Waters, Historical to 1998 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214591719-SCIOPS
    Explore at:
    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    Polygonal extents of federal (US Army Corps of Engineers) dredge projects along the Massachusetts marine coastline; historical to 16 December 1998; includes navigational channels, anchorages, harbors, beaches and dikes. Feature attributes include hyperlinks to respective USACE project descriptions, histories, and maps.

  3. Data from: Imputed Forest Composition Map for New England Screened by...

    • dataone.org
    • search.dataone.org
    • +1more
    Updated Dec 8, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Matthew Duveneck; Jonathan Thompson; B. Tyler Wilson (2023). Imputed Forest Composition Map for New England Screened by Species Range Boundaries 2001-2006 [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-hfr%2F234%2F5
    Explore at:
    Dataset updated
    Dec 8, 2023
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Matthew Duveneck; Jonathan Thompson; B. Tyler Wilson
    Time period covered
    Jan 1, 2001 - Jan 1, 2006
    Area covered
    Description

    Initializing forest landscape models (FLMs) to simulate changes in tree species composition requires accurate fine-scale forest attribute information mapped contiguously over large areas. Nearest-neighbor imputation maps have high potential for use as the initial condition within FLMs, but the tendency for field plots to be imputed over large geographical distances results in species frequently mapped outside of their home ranges, which is problematic. We developed an approach for evaluating and selecting field plots for imputation based on their similarity in feature-space, their species composition, and their geographical distance between source and imputation to produce a map that is appropriate for initializing an FLM. We applied this approach to map 13m ha of forest throughout the six New England states (Rhode Island, Connecticut, Massachusetts, New Hampshire, Vermont, and Maine). The map itself is a .img raster file of FIA plot CN numbers. To access FIA data from this map, one has to link the mapcodes in this map to FIA data supplied by USDA FIA database (https://apps.fs.usda.gov/fia/datamart/datamart.html). Due to plot confidentiality and integrity concerns, pixels containing FIA plots were always assigned to some other plot than the actual one found there.

  4. a

    MaineDMR - "Fishing Grounds of the Gulf of Maine" Maps

    • czm-moris-mass-eoeea.hub.arcgis.com
    • dmr-maine.opendata.arcgis.com
    • +1more
    Updated Mar 28, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    State of Maine (2020). MaineDMR - "Fishing Grounds of the Gulf of Maine" Maps [Dataset]. https://czm-moris-mass-eoeea.hub.arcgis.com/datasets/maine::mainedmr-fishing-grounds-of-the-gulf-of-maine-maps
    Explore at:
    Dataset updated
    Mar 28, 2020
    Dataset authored and provided by
    State of Maine
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Description

    Fishing Grounds of the Gulf of Maine by Walter H. Rich first appeared in the U.S. Department of Commerce, Bureau of Fisheries, Report of the United States Commissioner of Fisheries, for the fiscal year 1929.When Captain Robert McLellan of Boothbay Harbor died in 1981, the employees of the Maine Department of Marine Resources contributed money to be used to purchase books in his memory, for the Department's Fishermen's Library. Captain McLellan's family was asked what purchases they would recommend, and a top priority was to somehow reprint this work on the fishing grounds. This was a book that had been helpful to Captain McLellan in his career, and one which his son, Captain Richard McLellan, found still valid and useful.Contributions from the employees of the Department of Marine Resources paid to get this project started; film to reproduce the pages of the original text was donated by the Bigelow Laboratory for Ocean Sciences; printing costs were paid by the Department.It is the hope of the Department and its employees that the fishermen of today will benefit from the detailed information in this publication, and that they will remember Captain Robert McLellan, a man who knew how to use books to enhance his career as a fisherman, who knew how to share his knowledge with the scientific community, and who was widely respected by fishermen and scientists alike.For the complete text, see: https://www.gutenberg.org/files/15035/15035-h/15035-h.htm

  5. d

    5-m interval contours of smoothed multibeam bathymetry in western...

    • search.dataone.org
    • data.usgs.gov
    • +3more
    Updated Feb 1, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bradford Butman; Tammie J. Middleton (2018). 5-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangle 1 (Q1_5MCTR.SHP) [Dataset]. https://search.dataone.org/view/742f487d-d67c-4f27-ac26-a0d3048b8269
    Explore at:
    Dataset updated
    Feb 1, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Bradford Butman; Tammie J. Middleton
    Time period covered
    Jan 1, 1994 - Jan 1, 1998
    Area covered
    Variables measured
    FID, Shape, FNODE_, LENGTH, LPOLY_, RPOLY_, TNODE_, CONTOUR
    Description

    The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick.

    The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

    The data presented here have been published on paper maps of Quadrangle 2 in western Massachusetts Bay at a scale of 1:25,000 (USGS Map I-2731A, B and C).

  6. Region 1 Combined Sewer Outfalls

    • catalog.data.gov
    • s.cnmilf.com
    Updated Feb 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Environmental Protection Agency, Region 1 (Publisher) (2025). Region 1 Combined Sewer Outfalls [Dataset]. https://catalog.data.gov/dataset/region-1-combined-sewer-outfalls12
    Explore at:
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    CSO attributes and location information are from a variety of datasets for each state: Connecticut: Beginning with GIS data compiled by the Connecticut Department of Energy and Environmental Protection (“CT DEEP”) and displayed on their CSO Right-to-Know site (https://portal.ct.gov/DEEP/Municipal-Wastewater/Combined-Sewer-Overflows-Right-to-Know), EPA filtered the data for the purposes of this map and made corrections based upon updated information available in EPA’s files. EPA’s map only displays municipalities with CSO outfalls, whereas CT DEEP’s map includes municipalities with CSO-related bypasses at their Wastewater Treatment Facilities (but no Combined Sewer Collection System CSO outfalls). EPA’s map only displays CSO outfalls – the point at which CSOs are discharged to the receiving water - whereas CT DEEP’s map includes CSO regulators (the structure through which wastewater and stormwater exits the conveyance pipe towards the Wastewater Treatment Facility). Maine: Service containing both facility and outfall locations permitted under the Maine Pollution Elimination System (MEPDES) and administered by the Maine Department of Environmental Protection (MEDEP). The data has been collected using multiple methods over 2 decades under the direction of the Maine DEP GIS Unit. All location data was quality checked by MEDEP MEPDES Inspectors and GIS Unit staff in 2018. Massachusetts: Attribute and location information from a combination of MassDEP CSOs(https://mass-eoeea.maps.arcgis.com/apps/webappviewer/index.html?id=08c0019270254f0095a0806b155abcde) (metadata - https://mass-eoeea.maps.arcgis.com/home/item.html?id=0262b339c2c74213bdaaa15adccc0e96) and NPDES permits(https://www.epa.gov/npdes-permits/massachusetts-final-individual-npdes-permits). New Hampshire: Active CSO outfalls collected from NH NPDES permits(https://www.epa.gov/npdes-permits/new-hampshire-final-individual-npdes-permits). EPA made corrections based upon updated information available in EPA’s files. Rhode Island: RI CSO Outfall Point Features. The outfalls managed by the Narragansett Bay Commission are downloadable from a GIS file through RIGIS (Rhode Island Geographic Information System https://www.rigis.org/datasets/nbc-sewer-overflows/explore?location=41.841121%2C-71.414224%2C13.57&showTable=true). Data was intended for use in utility facility engineering structure inventory. Last updated: 2019. Downloaded: 11/19/2021. Metadata (https://www.arcgis.com/sharing/rest/content/items/2108bab269df47f988e59c18a556f37d/info/metadata/metadata.xml?format=default&output=html) Vermont: Attribute and location information from Vermont Open Geodata Poral (https://geodata.vermont.gov/datasets/VTANR::stormwater-infrastructure-point-features/explore?location=43.912839%2C-72.414150%2C9.29). Point, line, and polygon data was collected and compiled through field observations, municipal member knowledge, ortho-photo interpretation, digitization of georeferenced town plans and record drawings, and state stormwater permit plans. Accuracy of all data is for planning purposes and field verification is at the user’s discretion. VT Layer: Stormwater Infrastructure (Point Features) Metadata (https://www.arcgis.com/sharing/rest/content/items/5c9875ee609c4586bd569dbacb2d92f1/info/metadata/metadata.xml?format=default&output=html).

  7. Shoreline Data Rescue Project of Biddeford Pool, Maine, to Cape Ann, Mass.,...

    • fisheries.noaa.gov
    • datasets.ai
    • +1more
    Updated Jan 1, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Geodetic Survey (2020). Shoreline Data Rescue Project of Biddeford Pool, Maine, to Cape Ann, Mass., PH114B [Dataset]. https://www.fisheries.noaa.gov/inport/item/62502
    Explore at:
    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Jan 1, 1952
    Area covered
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of Biddeford Pool, Maine, to Cape Ann, Mass. 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...

  8. d

    5-m interval contours of smoothed multibeam bathymetry in western...

    • search.dataone.org
    • catalog.data.gov
    Updated Jun 1, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bradford Butman; Tammie J. Middleton (2017). 5-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangle 2 (Q2_5MCTR.SHP) [Dataset]. https://search.dataone.org/view/865adb04-059c-45da-8737-34b9d2956bee
    Explore at:
    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Bradford Butman; Tammie J. Middleton
    Time period covered
    Jan 1, 1994 - Jan 1, 1998
    Area covered
    Massachusetts, Massachusetts Bay
    Variables measured
    FID, Shape, FNODE_, LENGTH, LPOLY_, RPOLY_, TNODE_, CONTOUR
    Description

    The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick.

    The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

    The data presented here have been published on paper maps of Quadrangle 2 in western Massachusetts Bay at a scale of 1:25,000 (USGS Map I-2732A, B and C).

  9. Geologic Resources Inventory (GRI) Program. 2024. Digital Geologic Map...

    • catalog.data.gov
    Updated Nov 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2024). Geologic Resources Inventory (GRI) Program. 2024. Digital Geologic Map Footprints for Appalachian National Scenic Trail, Georgia, Tennessee, North Carolina, Virginia, West Virginia, Maryland, New Jersey, New York, Pennsylvania, Connecticut, Vermont, New Hampshire, Massachusetts, Maine (NPS, GRD, GRI, APPA, APPA digital map footprints) [Dataset]. https://catalog.data.gov/dataset/geologic-resources-inventory-gri-program-2024-digital-geologic-map-footprints-for-appalach
    Explore at:
    Dataset updated
    Nov 2, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    York, Maine, West Virginia, New Jersey, New Hampshire, Pennsylvania, North Carolina, Maryland, Vermont, Connecticut
    Description

    Geologic-Geographic Information Systems (GIS) data related to Appalachian National Scenic Trail is delivered in a data package Zip (.zip) file. These data are a product of the NPS Geologic Resources Inventory (GRI) program, which is funded by the Inventory and Monitoring (I&M) Division and administered by the NPS Geologic Resources Division (GRD).Geologic-GIS data for Appalachian National Scenic Trail consists of geologic map footprints of available maps that intersect the 7.5’ quadrangles of interest (QOI) for the park. Each footprint depicts the respective map’s extent and contains information conveying map name, scale, publication year and type. The footprints are joined using a footprint ID as a key to a standalone table that contains a formal map reference, a Boolean showing if GIS data is available, additional map notes, and a URL link t o where the map can be downloaded, if available. Geologic-GIS map footprints are provided in ESRI file geodatabase format supported by a Pro 3.X map (.mapx) file. The Pro 3.x map displays the footprint data in thematic layers categorizing and symbolizing the footprints by publication year, map type, and scale.

  10. d

    Data from: Generalized lithology and lithogeochemical character of...

    • data.doi.gov
    • search.dataone.org
    • +1more
    Updated Mar 22, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey, ER (Point of Contact) (2021). Generalized lithology and lithogeochemical character of near-surface bedrock in the New England region [Dataset]. https://data.doi.gov/dataset/generalized-lithology-and-lithogeochemical-character-of-near-surface-bedrock-in-the-new-england
    Explore at:
    Dataset updated
    Mar 22, 2021
    Dataset provided by
    U.S. Geological Survey, ER (Point of Contact)
    Area covered
    New England
    Description

    This geographic information system (GIS) data layer shows the dominant lithology and geochemical, termed lithogeochemical, character of near-surface bedrock in the New England region covering the states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. The bedrock units in the map are generalized into groups based on their lithological composition and, for granites, geochemistry. Geologic provinces are defined as time-stratigraphic groups that share common features of age of formation, geologic setting, tectonic history, and lithology. This data set incorporates data from digital maps of two NAWQA study areas, the New England Coastal Basin (NECB) and the Connecticut, Housatonic, and Thames River Basins (CONN) areas and extends data to cover the states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. The result is a regional dataset for the lithogeochemical characterization of New England (the layer named NE_LITH). Polygons in the final coverage are attributed according to state, drainage area, geologic province, general rock type, lithogeochemical characteristics, and specific bedrock map unit.

  11. n

    Coastguide Coastal Access Site Photos

    • cmr.earthdata.nasa.gov
    Updated Apr 20, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Coastguide Coastal Access Site Photos [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214591724-SCIOPS
    Explore at:
    Dataset updated
    Apr 20, 2017
    Time period covered
    Jul 26, 2007 - Present
    Area covered
    Description

    These data were collected from May 2005 to June 2006 for the use in the CZM "Coastal Public Access Sites" data viewer. The points create a hyperlink for field photos taken from South of Boston to the Rhode Island border. Sites include all those in the MassGIS Protected and Recreational Open Space GIS data layer as well as all other publicly assessable land that leads to the shore including public rights-of-way and landings. These data were used for ground truthing rights-of-way and landings that not present in the MassGIS Protected and Recreational Open Space GIS datalayer. The GPS unit used was Trimble GeoExplorer III and the software to used to process the data was Pathfinder Office 3.00.

  12. d

    Shapefiles and metadata for the January and March 2018 flood inundation maps...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2024). Shapefiles and metadata for the January and March 2018 flood inundation maps [Dataset]. https://catalog.data.gov/dataset/shapefiles-and-metadata-for-the-january-and-march-2018-flood-inundation-maps
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    Data layers in this child item include high-water mark and storm-sensor data collected by the U.S. Geological Survey (USGS) New England Water Science Center following the January 4, 2018, and March 2-4, 2018, winter-storm events in New England. High-water marks and continuous water-level sensor data range from Portland, Maine, to Provincetown, Massachusetts, and reference the North American Vertical Datum of 1988 (NAVD88). For more information about these storm events and the data collection, please see Bent, G.C., and Taylor, N.J., 2020, Total water level data from the January and March 2018 nor’easters for coastal areas of New England: U.S. Geological Survey Scientific Investigations Report 2020–5048, 47 p., accessed June 3, 2021, at https://doi.org/10.3133/sir20205048 Flood-inundation map layers and interim products used to create them also are included in this child item. The USGS polygon of the stillwater-inundation map reflects a statistical storm with a 1-percent annual exceedance probability from Portland, Maine, to Provincetown, Massachusetts, based on coastal tide-gage data. The January and March 2018 inundation maps are polygon shapefiles of estimated flood extent derived from the high-water mark and storm-sensor data following the storm events. The flood extents and water-surface elevations were derived from simplified estimations of high-water mark and storm-sensor data and delineated using 2-meter-resolution lidar digital-elevation models. Interim data layers that were used to create the flood-inundation polygons include a coastal flood-profile line and coastal watershed boundaries. The compressed zip files contain ESRI shapefiles that include xml metadata files. Detailed processing steps are documented in the metadata for each layer. See the Scientific Investigation Report associated with this data release for more information.

  13. d

    Mapping landscape connectivity for moose across the northeastern United...

    • datasets.ai
    • data.usgs.gov
    • +2more
    55
    Updated Oct 7, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of the Interior (2024). Mapping landscape connectivity for moose across the northeastern United States [Dataset]. https://datasets.ai/datasets/mapping-landscape-connectivity-for-moose-across-the-northeastern-united-states
    Explore at:
    55Available download formats
    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Northeastern United States, United States
    Description

    Connectivity describes how well a landscape facilitates or impedes the movement of animals. Maximizing connectivity is a common management goal, especially for large mammals like moose (Alces americanus americanus) that occupy large home ranges and have the capacity to move long distances. Moose in the northeastern US (encompassing the states of Vermont, New Hampshire, Massachusetts, Maine, Connecticut, and Rhode Island) represent a management priority and are expected to decline due to the near-term impacts of climate change and landscape development that will alter the distribution of habitats across the region. Large-scale maps of moose connectivity are unavailable but would provide an important resource for management planning to improve moose persistence in the landscape. We used an omnidirectional circuit-theory approach to model and map moose connectivity across the six states in the northeastern US. The approach involved integrating a distribution map developed from an occurrence model and a resistance map developed from expert opinion data, along with home range information and current landcover maps to depict expected movement flow. The data release includes 1 CSV file that contains expert-elicited responses regarding moose occurrence and resistence to movement. The release also includes 6 rasters (1 and 2) the Omniscape inputs files named "source.tif" and "resistance.tif"; (3) the connectivity raster using a 0-threshold "source" input named "cumulative_current_map_raw0.tif"; (4) the Omniscape connectivity raster using a 0.2-threshold "source" input named "cumulative_current_map_raw02.tif"; (5) and (6) the respective normalized connectivity rasters, named "normalized_map_crop0.tif" and "normalized_map_crop02.tif". The latter two rasters can be categorized into flow categories if desired: impeded (areas with less current than in a resistance-free landscape), diffuse (areas with as much current as a resistance-free landscape), intensified (areas with more current than a resistance-free landscape), and channelized (areas with much more current than a resistance-free landscape).

  14. u

    Aquifers

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Jul 1, 1998
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Earth Data Analysis Center (1998). Aquifers [Dataset]. https://gstore.unm.edu/apps/rgis/datasets/3205beb6-3406-4293-adef-a59ff0575965/metadata/FGDC-STD-001-1998.html
    Explore at:
    json(5), csv(5), geojson(5), shp(5), kml(5), xls(5), zip(8), gml(5)Available download formats
    Dataset updated
    Jul 1, 1998
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    Oct 2003
    Area covered
    West Bounding Coordinate -160.236053332639 East Bounding Coordinate -64.5661622435395 North Bounding Coordinate 49.3856196512481 South Bounding Coordinate 17.6746926217151, United States
    Description

    This map layer contains the shallowest principal aquifers of the conterminous United States, Hawaii, Puerto Rico, and the U.S. Virgin Islands, portrayed as polygons. The map layer was developed as part of the effort to produce the maps published at 1:2,500,000 in the printed series "Ground Water Atlas of the United States". The published maps contain base and cultural features not included in these data. This is a replacement for the July 1998 map layer called Principal Aquifers of the 48 Conterminous United States.

  15. d

    Data from: 1-m interval contours of smoothed multibeam bathymetry in western...

    • search.dataone.org
    • datadiscoverystudio.org
    • +2more
    Updated Feb 1, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bradford Butman; Tammie J. Middleton (2018). 1-m interval contours of smoothed multibeam bathymetry in western Massachusetts Bay map Quadrangle 3 (Q3_1MCTR.SHP) [Dataset]. https://search.dataone.org/view/5de3d497-e217-46fe-a119-dbfa2b242241
    Explore at:
    Dataset updated
    Feb 1, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Bradford Butman; Tammie J. Middleton
    Time period covered
    Jan 1, 1994 - Jan 1, 1998
    Area covered
    Variables measured
    FID, Shape, FNODE_, LENGTH, LPOLY_, RPOLY_, TNODE_, CONTOUR
    Description

    The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick.

    The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

  16. u

    Forest Health Protection Tree Species Metrics Basal Area

    • agdatacommons.nal.usda.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +4more
    bin
    Updated Jul 23, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2025). Forest Health Protection Tree Species Metrics Basal Area [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Forest_Health_Protection_Tree_Species_Metrics_Basal_Area/29614262
    Explore at:
    binAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    U.S. Forest Service
    License

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

    Description

    Basal Area (BA). 30 meter pixel resolution. Data represents forest conditions circa 2002.These data are a product of a multi-year effort by the FHTET (Forest Health Technology Enterprise Team) Remote Sensing Program to develop raster datasets of forest parameters for each of the tree species measured in the Forest Service’s Forest Inventory and Analysis (FIA) program. This dataset was created to support the 2013–2027 National Insect and Disease Risk Map (NIDRM) assessment. The statistical modeling approach used data-mining software and an archive of geospatial information to find the complex relationships between GIS layers and the presence/abundance of tree species as measured in over 300,000 FIA plot locations. Unique statistical models were developed from predictor layers consisting of climate, terrain, soils, and satellite imagery. Modeled basal area (BA) and stand density index (SDI) datasets for individual tree species were further post-processed to 1) match BA and SDI histograms of FIA data, 2) ensure that the sum of individual species BA and SDI on a pixel did not exceed separately modeled total for all species BA and SDI raster datasets, 3) derive additional tree parameters like quadratic mean diameter and trees per acre. With Landsat image collection dates ranging from 1985 to 2005, and a mean collection date for treed areas of 2002, and FIA plot data generally ranging from 1999 to 2005, the vintage of the base parameter datasets varies based on location, but can be roughly considered as 2002This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

  17. w

    Brook Trout Occupancy Modeling in 2012 for the Southern Portion of Their...

    • data.wu.ac.at
    • search.dataone.org
    Updated May 10, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of the Interior (2018). Brook Trout Occupancy Modeling in 2012 for the Southern Portion of Their Range (PA and south): ArcGIS Map Package [Dataset]. https://data.wu.ac.at/schema/data_gov/NWEyMTQ3YzEtNGJhMi00YzkyLWJjOTUtZTY2NWJjZDg5OWIw
    Explore at:
    Dataset updated
    May 10, 2018
    Dataset provided by
    Department of the Interior
    Area covered
    c0a0e6d4b53e2a95c6c3f44c6d74a264a7fd9e7a
    Description

    This ArcGIS Map Package contains information on brook trout occupancy in the southern portion of the brook trout range (PA and south). Fish sample data from a number of state and federal agencies/organizations were used to define patches for brook trout as groups of occupied contiguous catchment polygons from the National Hydrography Dataset Plus Version 1 (NHDPlusV1) catchment GIS layer. After defining patches, NHDPlusV1 catchments were assigned occupancy codes. Then state and federal agencies reviewed patches and codes to verify data accuracy. A similar effort is currently being conducted by the Eastern Brook Trout Joint Venture to develop occupancy data for the remainder of the brook trout range including states of New York, Maine, New Hampshire, Connecticut, Vermont, Massachusetts, Rhode Island, and Ohio. This ArcGIS Map Package contains data for the entire southern portion of the brook trout range with preset symbology that displays brook trout occupancy. The Map Package also includes the same information clipped into seperate layers for each state. State information is provided for the convenience of users that are interested in data for only a particular state. Additional layers displaying state boundaries, quadrangle maps, and the brook trout range are also included as spatial references.

  18. a

    Places CouSub ConCity SubMCD

    • hifld-geoplatform.hub.arcgis.com
    • hub.arcgis.com
    • +3more
    Updated Oct 29, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GeoPlatform ArcGIS Online (2021). Places CouSub ConCity SubMCD [Dataset]. https://hifld-geoplatform.hub.arcgis.com/maps/f23e8c89e4784fa28f2250228f3acea5
    Explore at:
    Dataset updated
    Oct 29, 2021
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    Description

    Census Designated Places are the statistical counterparts of incorporated places. CDPs are settled concentrations of population that are identifiable by name but not legally incorporated under the laws of the state in which the CDPs are located. The Census Bureau defines CDP boundaries in cooperation with local partners as part of the PSAP. CDP boundaries usually coincide with visible features or the boundary of an adjacent Incorporated Place or another legal entity boundary. CDPs have no legal status and do not have officials elected to serve traditional municipal functions. CDP boundaries may change from one decennial census to the next with changes in the settlement pattern; a CDP with the same name as in an earlier census does not necessarily have the same boundary. There are no population size requirements for CDPs. In the nine states of the Northeast (Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont) as well as Michigan, Minnesota, and Wisconsin, a CDP may represent a densely settled concentration of population within a town or township; in other instances, a CDP represents an entire town or township.Additional resources to obtain Place geography is listed below.Consolidated City Shapefile – https://www2.census.gov/geo/tiger/TIGER2020/CONCITY/Place Shapefile (Includes Incorporated Place and Census Designated Place) – https://www2.census.gov/geo/tiger/TIGER2020/PLACE/

  19. a

    Oil and Natural Gas Wells

    • hub.arcgis.com
    Updated Aug 2, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alabama GeoHub (2018). Oil and Natural Gas Wells [Dataset]. https://hub.arcgis.com/datasets/ALGeoHub::oil-and-natural-gas-wells/about
    Explore at:
    Dataset updated
    Aug 2, 2018
    Dataset authored and provided by
    Alabama GeoHub
    Area covered
    Description

    This map shows the oil and natural gas wells across the United States. Oil and Natural Gas Well: A hole drilled in the earth for the purpose of finding or producing crude oil or natural gas; or producing services related to the production of crude or natural gas. Geographic coverage includes the United States (Alabama, Alaska, Arizona, Arkansas, California, Colorado, Florida, Illinois, Indiana, Kansas, Kentucky, Louisiana, Maryland, Michigan, Mississippi, Missouri, Montana, North Dakota, Nebraska, Nevada, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wyoming) as well Oil and Natural Gas wells in the Canadian provinces of British Columbia and Manitoba that are within 100 miles of the country's border with the United States. According to the Energy Information Administration (EIA) the following states do not have active/producing Oil or Natural Gas Wells: Connecticut, Delaware, District of Columbia, Georgia, Hawaii, Iowa, Idaho, Massachusetts, Maine, Minnesota, North Carolina, New Hampshire, New Jersey, Rhode Island, South Carolina, Vermont, and Wisconsin. Some states do have wells for underground Natural Gas storage facilities where these have been identified they were included. This layer is derived from well data from individual states and provinces and United States Agencies. This layer is complete for the United States but further development of data missing from two Canadian provinces and Mexico is in process. This update release includes an additional 497,036 wells covering Texas. Oil and gas exploration in Texas takes advantage of drilling technology to use a single surface well drilling location to drill multiple bottom hole well connections to extract oil and gas. The addition of Well data from Texas results in the addition of a related table to support this one surface well to many bottom hole connections. This related table provides records for Wells that have more than one bottom hole linked to the surface well. Sourced from the HIFLD Open Data Portal for Energy.

  20. a

    New England Electrical Transmission Substations

    • czm-moris-mass-eoeea.hub.arcgis.com
    Updated Jun 5, 2013
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MA Executive Office of Energy and Environmental Affairs (2013). New England Electrical Transmission Substations [Dataset]. https://czm-moris-mass-eoeea.hub.arcgis.com/datasets/new-england-electrical-transmission-substations
    Explore at:
    Dataset updated
    Jun 5, 2013
    Dataset authored and provided by
    MA Executive Office of Energy and Environmental Affairs
    Area covered
    Description

    Existing electrical transmission substations and those planned through 2022 for the New England coastal region. A substation is a part of an electrical generation, transmission, and distribution system. Substations transform voltage from high to low, or the reverse, or perform any of several other important functions. Between the generating station and consumer, electric power may flow through several substations at different voltage levels. This data depicts substations (facilities that switch, change, and/or regulate electric voltage) existing in the New England area(Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island and Vermont). Thesesubstations are all connected using segments of the New England Transmission Lines layer.Transmission lines (structures that form a path for directing the transmission of electric power), when interconnected with each other, become transmission networks, typically referred to as "power grids".

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Esri (2015). USA Northeast Region [Dataset]. https://anrgeodata.vermont.gov/content/3eaa5dfcc6864694a887af3aafaca14b
Organization logo

USA Northeast Region

Explore at:
90 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 8, 2015
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
Description

This map is designed for use in ArcGIS Navigator and contains data for the U.S. Northeast Region supporting map display, geocoding and routing. The U.S. Northeast Region includes Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont.
The data is from ArcGIS StreetMap Premium North America 2025 Release 1 (based on TomTom 2024.12 vintage).

Note: Only the latest version of the map is available for download. See the 
Navigator map coverage 
and click on the map to access details (including file size, updated date, and data source).
Search
Clear search
Close search
Google apps
Main menu