16 datasets found
  1. U

    New York and New England carbonate-rock aquifers

    • data.usgs.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +2more
    Updated Mar 8, 2007
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    United States Geological Survey (2007). New York and New England carbonate-rock aquifers [Dataset]. http://doi.org/10.5066/P9AAGOCW
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    Dataset updated
    Mar 8, 2007
    Dataset authored and provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

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

    Time period covered
    1998
    Area covered
    New York, New England
    Description

    This data set represents the extent of the New York and New England carbonate-rock aquifers in the states of New York, Vermont, Maine, Massachusetts, Connecticut, New Jersey, and Pennsylvania.

  2. w

    Data from: Aeroradioactivity of Parts of East-Central New York and...

    • data.wu.ac.at
    arcgis_rest, wms, zip
    Updated Dec 5, 2017
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    (2017). Aeroradioactivity of Parts of East-Central New York and West-Central New England [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/ZjZkYWIyNWItNGNkMS00ZjljLWIyZWYtY2I2NmI5YTE2NTRk
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    wms, zip, arcgis_restAvailable download formats
    Dataset updated
    Dec 5, 2017
    Area covered
    7551f7614e2334eba3302b8fa4ad52975e1ad415
    Description

    Popenoe, Peter, 1964, Aeroradioactivity of Parts of East-Central New York and West-Central New England, USGS GP-358, 1:250,000 scale. Airborne near surface gross gamma mapping, includes geologic discussion and explanatory text. Base from USGS 1:250,000 quadrangles; Utica (1944), Binghamton (1944), Glen Falls (1944), Albany (1947), Portland (1942) and Boston (1947). Mapping in counts per second gamma, ranging from 100-1150 cps. Adjacent maps available. This map is also available as both an ESRI and Web Map Service.

  3. a

    New England / Mid-Atlantic EFH Data

    • noaa.hub.arcgis.com
    Updated Dec 9, 2020
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    NOAA GeoPlatform (2020). New England / Mid-Atlantic EFH Data [Dataset]. https://noaa.hub.arcgis.com/maps/604b6d6aec6e4853a90eb9055f577526
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    Dataset updated
    Dec 9, 2020
    Dataset authored and provided by
    NOAA GeoPlatform
    Area covered
    Description

    New England and the Mid-Atlantic includes the states of Maine, New Hampshire, Massachusetts, Rhode Island, Connecticut, New York, New Jersey, Pennsylvania, Maryland, Delaware, and Virginia. Essential fish habitat (EFH) has been designated and described by the New England Fishery Management Council and Mid-Atlantic Fishery Management Council for over 150 species collectively in NOAA Fisheries’ Greater Atlantic region. This web map provides a subset of EFH and other related data sets specifically for New England and the Mid-Atlantic only although there may be some species' habitat that extend beyond the states defined in this text. NOAA Fisheries and the fishery management councils have identified and described EFH as habitat necessary to fish, for spawning, breeding, feeding, or growth to maturity. For more information, please see this link:EFH in New England/Mid-Atlantic

  4. d

    Aeroradioactivity map of parts of east-central New York and west-central New...

    • datadiscoverystudio.org
    pdf
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    Aeroradioactivity map of parts of east-central New York and west-central New England [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/bf13af32d27847fe8f2156c456be2c0a/html
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    pdfAvailable download formats
    Area covered
    Description

    no abstract provided

  5. Mid-19th Century Land Use on the Southern New England and New York Coasts...

    • search.dataone.org
    • portal.edirepository.org
    Updated Dec 12, 2023
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    David Foster; Glenn Motzkin; Brian Hall (2023). Mid-19th Century Land Use on the Southern New England and New York Coasts 1832-1886 [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-hfr%2F367%2F4
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    Dataset updated
    Dec 12, 2023
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    David Foster; Glenn Motzkin; Brian Hall
    Time period covered
    Jan 1, 1832 - Jan 1, 1886
    Area covered
    Description

    The widespread influence of land use and natural disturbance on population, community, and landscape dynamics and the long-term legacy of disturbance on modern ecosystems requires that a historical, broad-scale perspective become an integral part of modern ecological studies and conservation assessment and planning. In previous studies, the Harvard Forest Long Term Ecological Research (LTER) program has developed an integrated approach of paleoecological and historical reconstruction, meteorological modeling, air photo interpretation, GIS analyses, and field studies of vegetation and soils, to address fundamental ecological questions concerning the rates, direction, and causes of vegetation change, to evaluate controls over modern species and community distributions and landscape patterns, and to provide critical background for conservation and restoration planning. In the current study, we extend this approach to investigate the link between landscape history and the abundance, distribution, and dynamics of species, communities and landscapes of the Cape Cod to Long Island coastal region, including the islands of Martha's Vineyard, Nantucket, and Block Island. The study region includes many areas of high conservation priority that are linked geographically, historically, and ecologically. This data package includes GIS layers digitized by Harvard Forest researchers from copies of the US Coastal Survey “T-Sheet” maps available from the National Archives in College Park, Maryland. The US Coastal Survey, and then the US Coast and Geodetic Survey mapped the region, or specific parts of it, several times between 1832 and the 1960s. In this project we digitized the earliest T-Sheet available for each location. The original maps were surveyed between 1832 and 1886, with most of them made between 1835 to 1855. The original maps showed features such as roads, farm walls, railroads, buildings, some industrial buildings, saltworks, wharfs, and land cover including woodlands, sandplains, grasslands, open agricultural fields, cultivated areas, fruit tree orchards, wetlands, etc. Many sheets had symbols which differentiated conifer trees from hardwoods. There were some inconsistencies in what features were mapped or how they were drawn between the original T-Sheets. Since we digitized the maps over the course of several different research projects, we did not always digitize all of the same features in each geographic area, therefore users of this data are encouraged to look at scans of the original T-Sheets for their specific areas of interest (links below). We always digitized land cover and roads and occasionally buildings and fences as mentioned in the datasets below.

  6. d

    NYC FEMA Flood Insurance Rate Map

    • data-dathere.dataops.dathere.com
    • data.dathere.com
    geojson
    Updated Aug 11, 2025
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    datHere (2025). NYC FEMA Flood Insurance Rate Map [Dataset]. https://data-dathere.dataops.dathere.com/uk/dataset/nyc-fema-flood-insurance-rate-map
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    geojson, geojson(35648785)Available download formats
    Dataset updated
    Aug 11, 2025
    Dataset authored and provided by
    datHere
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Area covered
    New York
    Description

    Polygon file of the FEMA Flood Insurance Rate Map for New York City.

  7. n

    C-CAP US (United States) Coastal Land Cover Project: Massachusetts 1996

    • cmr.earthdata.nasa.gov
    Updated Sep 10, 2019
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    (2019). C-CAP US (United States) Coastal Land Cover Project: Massachusetts 1996 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214591744-SCIOPS
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    Dataset updated
    Sep 10, 2019
    Time period covered
    Jun 15, 1994 - Jul 29, 1996
    Area covered
    United States, Massachusetts
    Description

    This data set contains the 1995-era or early-date classifications of US coastal zone 65 and can be used to analyze change. This imagery was collected as part of the Multi-Resolution Land Characteristics program in a multi-agency effort to provide baseline multi-scale environmental characteristics and to monitor environmental change. This data set utilized 10 full or partial Landsat scenes which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. Note: These data were reprojected from their native projection into North American Datum 1983 (NAD83) / Massachusetts State Plane coordinate system, Mainland Zone (Fipszone 2001) meters by the Massachusetts Office of Coastal Zone Management on Oct. 12, 2006.

    SUPPLEMENTAL INFORMATION: This Classification and change analysis is based on Landsat TM scenes: p11r30 (08/14/1995), p11r31 (09/12/1994), p12r30 (07/04/1995), p12r31 (08/21/1995), p12r32 (06/15/1994), p13r30 (07/29/1996), p13r31 (08/09/1994), p13r32 (08/09/1994), p14r29 (05/31/1995)

  8. d

    Glacial Lakes and the Champlain Sea

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +10more
    Updated Dec 13, 2024
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    Vermont Geological Survey (2024). Glacial Lakes and the Champlain Sea [Dataset]. https://catalog.data.gov/dataset/glacial-lakes-and-the-champlain-sea-f43b8
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    Dataset updated
    Dec 13, 2024
    Dataset provided by
    Vermont Geological Survey
    Description

    This dataset is a compilation of glacial lake shoreline data based on surficial geologic mapping in New England and New York from 1937-2019. Data are derived from 0.7 meter resolution LiDAR DEMs and 30 meter resolution National Elevation Dataset DEMs (Glacial Lake Hitchcock). Reference: Springston, G., Wright, S., and Van Hoesen, J., 2020, Major Glacial Lakes and the Champlain Sea, Vermont: Vermont Geological Survey Miscellaneous Publication VGSM2020-1, Scale 1:250,000.

  9. U.S. Coast Guard (USCG) Sectors

    • data.wu.ac.at
    Updated Jul 3, 2018
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    Department of Homeland Security (2018). U.S. Coast Guard (USCG) Sectors [Dataset]. https://data.wu.ac.at/schema/data_gov/NTZmYmE4YmEtNjRkMC00YTRlLWE4NDktMmJlMjkxNDgyMGEx
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    Dataset updated
    Jul 3, 2018
    Dataset provided by
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    Description

    The Coast Guard Sectors are delineated in the description in the 33 Code of Federal Regulations (CFR) for each Sector Boundary and Area of Responsibility where latitude and longitude coordinates, as well as county/state/national boundaries are included to describe the boundaries for each zone. In addition, whenever the Area of Responsibility boundary is over water, the EEZ shapefile is referenced for those occurrences. This layer displays the Coast Guard Sector Boundaries for the following sectorsAnchorage, Baltimore, Boston, Buffalo, Charleston, Columbia River, Corpus Christi, Delaware Bay, Detroit, Guam, Hampton Roads, Honolulu, Houston - Galveston, Humboldt Bay, Jacksonville, Juneau, Key West, Lake Michigan, Long Island Sound, Los Angeles - Long Beach, Lower Mississippi, Miami, Mobile, New Orleans, New York, North Bend, North Carolina, Northern New England, Ohio Valley, Puget Sound, San Diego, San Francisco, San Juan, Sault Ste Marie, Southeastern New England, St. Petersburg, and Upper Mississippi.

  10. d

    Surficial deposits and materials in the eastern and central United States...

    • dataone.org
    Updated Oct 29, 2016
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    David S. Fullerton; Charles A. Bush; Jean N. Pennell (2016). Surficial deposits and materials in the eastern and central United States (east of 102 degrees west longitude) [Dataset]. https://dataone.org/datasets/d863e647-d00d-4994-89bc-be4be9d4adf0
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    USGS Science Data Catalog
    Authors
    David S. Fullerton; Charles A. Bush; Jean N. Pennell
    Time period covered
    Mar 1, 1998 - Jun 1, 2000
    Area covered
    Variables measured
    B, G, R, Color, Ltype, Geounit
    Description

    The surficial geologic map of the Eastern and Central United States depicts the areal distribution of surficial geologic deposits and other materials that accumulated or formed during the past 2+ million years, the period that includes all activities of the human species. These materials are at the surface of the earth. They make up the "ground" on which we walk, the "dirt" in which we dig foundations, and the “soil” in which we grow crops. Most of our human activity is related in one way or another to these surface materials that are referred to collectively by many geologists as regolith, the mantle of fragmental and generally unconsolidated material that overlies the bedrock foundation of the continent. The map is based on 31 published maps in the U.S. Geological Survey's Quaternary Geologic Atlas of the United States map series (U.S. Geological Survey Miscellaneous Investigations Series I-1420). It was compiled at 1:1,000,000 scale, to be viewed as a digital map at 1:2,000,000 nominal scale and to be printed as a conventional paper map at 1:2,500,000 scale. This map is not a map of soils as recognized and classified in agriculture. Rather, it is a generalized map of soils as recognized in engineering geology, or of substrata or parent materials in which agricultural, agronomic, or pedologic soils are formed. Where surficial deposits or materials are thick, agricultural soils are developed only in the upper part of the engineering soils. Where they are very thin, agricultural soils are developed through the entire thickness of a surficial deposit or material. The surficial geologic map provides a broad overview of the areal distribution of surficial deposits and materials. It identifies and depicts more than 150 types of deposits and materials. In general, the map units are divided into two major categories, surface deposits and residual materials. Surface deposits are materials that accumulated or were emplaced after component particles were transported by ice, water, wind, or gravity. The glacial sediments that cover the surface in much of the northern United States east of the Rocky Mountains are in this category, as are the gravel, sand, silt, and clay that were deposited in past and present streams, lakes, and oceans. In contrast, residual materials formed in place, without significant transport of component particles by ice, water, wind, or gravity. They are products of modification or alteration of pre-existing surficial deposits, surficial materials, or bedrock. For example, intense weathering of solid rock, or even stream deposits, by chemical processes may produce a residual surficial material that is greatly transformed from its original physical and chemical state. In recent years, surficial deposits and materials have become the focus of much interest by scientists, environmentalists, governmental agencies, and the general public. They are the foundations of ecosystems, the materials that support plant growth and animal habitat, and the materials through which travels much of the water required for our agriculture, our industry, and our general well being. They also are materials that easily can become contaminated by pesticides, fertilizers, and toxic wastes. In this context, the value of the surficial geologic map is evident The map and its digital database provide information about four major aspects of the surficial materials, through description of more than 150 types of materials and depiction of their areal distribution. The map unit descriptions provide information about (1) genesis (processes of origin) or environments of deposition (for example, deposits related to glaciation (glacial deposits), flowing water (alluvial deposits), lakes (lacustrine deposits), wind (eolian deposits), or gravity (mass-movement deposits)), (2) age (for example, how long ago the deposits accumulated or were emplaced or how long specific processes have been acting on the materials), (3) properties (the chemical, physical, and mechanical or engineering characteristics of the materials), and (4) thickness or depth to underlying deposits or materials or to bedrock. This approach provides information appropriate for a broad user base. The map is useful to national, state, and other governmental agencies, to engineering and construction companies, to environmental organizations and consultants, to academic scientists and institutions, and to the layman who merely wishes to learn more about the materials that conceal the bedrock. The map can facilitate regional and national overviews of (1) geologic hazards, including areas of swelling clay and areas of landslide deposits and landslide-prone materials, (2) natural resources, including aggregate for concrete and road building, peat, clay, and shallow sources for groundwater, and (3) areas of special environmental concern, i... Visit https://dataone.org/datasets/d863e647-d00d-4994-89bc-be4be9d4adf0 for complete metadata about this dataset.

  11. United States Census Incorporated Places 2022

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 14, 2022
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    U.S. Census Bureau (2022). United States Census Incorporated Places 2022 [Dataset]. https://koordinates.com/layer/110442-united-states-census-incorporated-places-2022/
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    dwg, shapefile, mapinfo mif, geopackage / sqlite, mapinfo tab, kml, csv, geodatabase, pdfAvailable download formats
    Dataset updated
    Sep 14, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Area covered
    United States,
    Description

    Census Current (2022) Legal and Statistical Entities Web Map Service; January 1, 2022 vintage.

    Incorporated Places are those reported to the Census Bureau as legally in existence as of the latest Boundary and Annexation Survey (BAS), under the laws of their respective states. An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division, which generally is created to provide services or administer an area without regard, necessarily, to population. Places always are within a single state or equivalent entity, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough but can have other legal descriptions. For Census Bureau data tabulation and presentation purposes, incorporated places exclude:

    1) The boroughs in Alaska (treated as statistical equivalents of counties).

    2) Towns in the New England states, New York, and Wisconsin (treated as MCDs).

    3) The boroughs in New York (treated as MCDs).

  12. d

    Settlement-Era Tree Composition, Eastern US: Level 1

    • search.dataone.org
    • portal.edirepository.org
    Updated Feb 2, 2016
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    Charles Cogbill (2016). Settlement-Era Tree Composition, Eastern US: Level 1 [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fmsb-paleon%2F4%2F0
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    Dataset updated
    Feb 2, 2016
    Dataset provided by
    LTER Network Member Node
    Authors
    Charles Cogbill
    Time period covered
    Jan 1, 1620 - Jan 1, 1870
    Area covered
    Variables measured
    ID, Ash, Elm, Fir, Oak, Pine, Town, Beech, Birch, Maple, and 24 more
    Description

    Witness tree counts within town/township polygons were tallied from early land survey records of town outlines and lotting subdivisions. Overall dates ranged from 1623 to 1870, but varied by town and were recorded about the time of first settlement of the town. A myriad of archived sources were tapped from town, state and national repositories, historical societies and private collections. The SetTreeComp_Northeast_Level1_v1.0 database includes records throughout the domain collated by Charles Cogbill, and include contributions from southern New England by John Burk, from the Catskills, New York by Robert McIntosh, and from the Finger Lakes, New York by Peter Marks. Every effort was used to avoid duplication of trees. The taxa classes were generally genera or unambiguous categories based on the vernacular names used by the surveyors. In several cases (black gum/sweet gum, ironwood, poplar/tulip poplar, cedar/juniper), because of ambiguity in the common tree names used by surveyors, a group represents trees from different families and even orders. This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.

  13. Incorporated Places

    • hub.arcgis.com
    • gisnation-sdi.hub.arcgis.com
    Updated Jan 26, 2024
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    Esri U.S. Federal Datasets (2024). Incorporated Places [Dataset]. https://hub.arcgis.com/maps/fedmaps::incorporated-places/about
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    Dataset updated
    Jan 26, 2024
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    License

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

    Area covered
    Description

    Incorporated PlacesThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau, displays Incorporated Places (legal entities). Per USCB, "The legal designations, powers, and functions of incorporated places vary from state to state. Incorporated places include cities, towns (except in New England, New York, and Wisconsin where the Census Bureau recognizes towns as MCDs for census purposes), boroughs (except in Alaska, where the Census Bureau recognizes boroughs as equivalents of counties, and New York, where the Census Bureau recognizes the five boroughs that constitute New York City as MCDs), villages, and other lesser known identifiers."Trenton, New JerseyData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Incorporated Places) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 88 (Series Information for Census Tract State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (Incorporated Places) copy this link to embed it in OGC Compliant viewersFor more information, please visit: Series Information for Place State-based TIGER/Line Shapefiles, CurrentFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets

  14. a

    Urban Pests and Economic Impacts

    • femc-uvm.hub.arcgis.com
    Updated Feb 20, 2020
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    vmc@uvm.edu_UVM (2020). Urban Pests and Economic Impacts [Dataset]. https://femc-uvm.hub.arcgis.com/items/deed0d0165394e6ebe2bcccde269eb77
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    Dataset updated
    Feb 20, 2020
    Dataset authored and provided by
    vmc@uvm.edu_UVM
    Description

    This interactive map was created using the FIPS spacial dataset that included polygons of all municipalities in New England and New York state. Using a unique identifier code we joined those data with a CSV file that included all of the municipalities that we had inventory data for, as well as links to the FEMC archive where that data is housed. This map will visually display all the municipalities in the region as polygons with different colors that indicate how much data FEMC has for each one.

  15. a

    Coastal Change at Fire Island - 3 - 1 - Long-Term Change - Western FI Map

    • open-data-pittsylvania.hub.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated Dec 4, 2017
    + more versions
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    U.S. Geological Survey (2017). Coastal Change at Fire Island - 3 - 1 - Long-Term Change - Western FI Map [Dataset]. https://open-data-pittsylvania.hub.arcgis.com/datasets/USGS::coastal-change-at-fire-island-3-1-long-term-change-western-fi-map
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    Dataset updated
    Dec 4, 2017
    Dataset authored and provided by
    U.S. Geological Survey
    Area covered
    Description

    (3 - 1 - Long-Term Change - Western FI Map: Part of the Coastal Change at Fire Island geo-narrative)Fire Island is a 31 mile long barrier island that is centrally located on the southern shore of Long Island, New York. The island is comprised of Fire Island National Seashore (including several federal wilderness tracts), NY state and county parks, and developed communities. The U.S. Geological Survey has been conducting research in the offshore, nearshore, and barrier island systems at Fire Island for more than two decades to better understand drivers of coastal change and evolution. This Story Map features research that is being used to predict how beaches change in response to storms and how they may subsequently recover in the year following a storm event. Himmelstoss, E.A., Kratzmann, M., Hapke, C., Thieler, E.R., and List, J., 2010, The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010-1119, available at https://pubs.usgs.gov/of/2010/1119/

  16. a

    SLOSH Zone Polygon

    • data-uvalibrary.opendata.arcgis.com
    • opendata.suffolkcountyny.gov
    • +1more
    Updated Jul 21, 2020
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    Suffolk County GIS (2020). SLOSH Zone Polygon [Dataset]. https://data-uvalibrary.opendata.arcgis.com/maps/SuffolkGIS::slosh-zone-polygon
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    Dataset updated
    Jul 21, 2020
    Dataset authored and provided by
    Suffolk County GIS
    License

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

    Area covered
    Description

    Worst case Hurricane Surge Inundation areas for category 1 through 4 hurricanes striking the coast of New York. Hurricane surge values were developed by the National Hurricane Center using the SLOSH (Sea Lake and Overland Surge from Hurricanes) Model. This Surge Inundation layer was created by the U.S. Army Corps of Engineers, New England District. Using the ArcGIS Spatial Analyst extension, elevation data from New York State EMO for Suffolk County was subtracted from the worst-case hurricane surge values to determine which areas could be expected to be inundated.

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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United States Geological Survey (2007). New York and New England carbonate-rock aquifers [Dataset]. http://doi.org/10.5066/P9AAGOCW

New York and New England carbonate-rock aquifers

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 8, 2007
Dataset authored and provided by
United States Geological Surveyhttp://www.usgs.gov/
License

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

Time period covered
1998
Area covered
New York, New England
Description

This data set represents the extent of the New York and New England carbonate-rock aquifers in the states of New York, Vermont, Maine, Massachusetts, Connecticut, New Jersey, and Pennsylvania.

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