32 datasets found
  1. Reported Cases of Lyme Disease by County of Residence Map, United States

    • hub.arcgis.com
    Updated Jun 24, 2023
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    Centers for Disease Control and Prevention (2023). Reported Cases of Lyme Disease by County of Residence Map, United States [Dataset]. https://hub.arcgis.com/maps/79ac8e83430d4ea2a925027a91214c33
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    Dataset updated
    Jun 24, 2023
    Dataset authored and provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States,
    Description

    This map shows the location of reported Lyme disease cases and changes in these cases over time from 2000 to 2020. Each dot on the map represents one case of Lyme disease. Cases are marked in the case’s county of residence, not necessarily the county of exposure. The map does not include data where county of residence was not reported. People travel between counties and states, and the place of residence is sometimes different from the place where the patient became infected.The map also shows shaded states with high incidence of Lyme disease. Many high incidence states have modified surveillance practices. Contact your state health department for more information.Data used to make this map are reported through the National Notifiable Disease Surveillance System.Many high incidence states have modified surveillance practices that have led to notable decreases in case counts over time. Consequently, these data may not accurately represent disease trends in those areas. Reference MaterialsLyme Disease | Lyme Disease | CDCAnnual statistics from the National Notifiable Diseases Surveillance System (NNDSS). (cdc.gov)Contact InformationBZB_Public@cdc.gov

  2. a

    New Lyme Lake data - contours

    • gis-odnr.opendata.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). New Lyme Lake data - contours [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/new-lyme-lake-data-contours
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

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

    Area covered
    New Lyme Township, New Lyme Lake
    Description

    Download .zipThis file contains the data used by the Division of Wildlife for the construction of lake maps. Data was collected in the Ohio State Plane Coordinate System for both the northern and southern state planes in the Lambert Projection Zone. Except for the lakes in extreme western Ohio which is in UTM zone 16N the majority of lakes are in UTM zone 17N and datum NAD83. Data were collected by the Ohio Division of Wildlife using a Trimble GPS Pathfinder Pro XRS receiver and Recon datalogger. Geocoding of depths typically occurred during water levels that were ± 60 cm of full recreational pool while transversing the reservoir at 100m intervals driving at a vessel speed of 2.0-2.5 m/s. Depth contour lines were derived by creating a raster file from the point bathymetry and boundary lake data. ArcGIS Spatial Analyst Interpolation tool outputs point data that is then changed into polyline contours using the Spatial Analyst Surface tool. Additional details on the digitizing process are available upon request.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

  3. Lyme

    • open-data-national-trust.hub.arcgis.com
    Updated May 10, 2025
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    National Trust (2025). Lyme [Dataset]. https://open-data-national-trust.hub.arcgis.com/datasets/lyme
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    Dataset updated
    May 10, 2025
    Dataset authored and provided by
    National Trusthttp://nationaltrust.org.uk/
    License

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

    Area covered
    Description

    Map Service (WMTS) for Lyme. Gardens and Plants Database.

  4. a

    New Lyme Lake data - boundary

    • gis-odnr.opendata.arcgis.com
    Updated Nov 6, 2024
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    Ohio Department of Natural Resources (2024). New Lyme Lake data - boundary [Dataset]. https://gis-odnr.opendata.arcgis.com/datasets/new-lyme-lake-data-boundary
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Ohio Department of Natural Resources
    License

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

    Area covered
    New Lyme Township, New Lyme Lake
    Description

    Download .zipThese files contain the lake boundary data used by the Ohio Division of Wildlife for the construction of lake maps. Lake boundary data was derived by digitizing Ohio Statewide Imagery Program (OSIP-1) data. Additional details on the digitizing process are available on request.

    Lake boundary: http://ogrip.oit.ohio.gov/ProjectsInitiatives/StatewideImagery.aspxContact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Wildlife2045 Morse Rd, Bldg G-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

  5. Integrated Assessment of Behavioral and Environmental Risk Factors for Lyme...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 4, 2023
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    Casey Finch; Mohammed Salim Al-Damluji; Peter J. Krause; Linda Niccolai; Tanner Steeves; Corrine Folsom O’Keefe; Maria A. Diuk-Wasser (2023). Integrated Assessment of Behavioral and Environmental Risk Factors for Lyme Disease Infection on Block Island, Rhode Island [Dataset]. http://doi.org/10.1371/journal.pone.0084758
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Casey Finch; Mohammed Salim Al-Damluji; Peter J. Krause; Linda Niccolai; Tanner Steeves; Corrine Folsom O’Keefe; Maria A. Diuk-Wasser
    License

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

    Area covered
    Block Island, Rhode Island
    Description

    Peridomestic exposure to Borrelia burgdorferi-infected Ixodes scapularis nymphs is considered the dominant means of infection with black-legged tick-borne pathogens in the eastern United States. Population level studies have detected a positive association between the density of infected nymphs and Lyme disease incidence. At a finer spatial scale within endemic communities, studies have focused on individual level risk behaviors, without accounting for differences in peridomestic nymphal density. This study simultaneously assessed the influence of peridomestic tick exposure risk and human behavior risk factors for Lyme disease infection on Block Island, Rhode Island. Tick exposure risk on Block Island properties was estimated using remotely sensed landscape metrics that strongly correlated with tick density at the individual property level. Behavioral risk factors and Lyme disease serology were assessed using a longitudinal serosurvey study. Significant factors associated with Lyme disease positive serology included one or more self-reported previous Lyme disease episodes, wearing protective clothing during outdoor activities, the average number of hours spent daily in tick habitat, the subject’s age and the density of shrub edges on the subject’s property. The best fit multivariate model included previous Lyme diagnoses and age. The strength of this association with previous Lyme disease suggests that the same sector of the population tends to be repeatedly infected. The second best multivariate model included a combination of environmental and behavioral factors, namely hours spent in vegetation, subject’s age, shrub edge density (increase risk) and wearing protective clothing (decrease risk). Our findings highlight the importance of concurrent evaluation of both environmental and behavioral factors to design interventions to reduce the risk of tick-borne infections.

  6. d

    Coastal Area

    • catalog.data.gov
    • data.ct.gov
    • +7more
    Updated Feb 12, 2025
    + more versions
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    Department of Energy & Environmental Protection (2025). Coastal Area [Dataset]. https://catalog.data.gov/dataset/coastal-area-7ae53
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    Dataset updated
    Feb 12, 2025
    Dataset provided by
    Department of Energy & Environmental Protection
    Description

    The Coastal Area layer is a 1:24,000-scale, polygon feature-based layer that includes the land and waters that lie within the Coastal Area as defined by Connecticut General Statute (C.G.S.) 22a-94(a). Activities and actions conducted within the coastal area by Federal and State Agencies (i.e., U.S. Army Corps of Engineers (USACOE), DEP regulatory programs, and state plans and actions) must be consistent with all of the applicable standards and criteria contained in the Connecticut Coastal Management Act (C.G.S. 22a-90 to 22a-113). A subset of the Coastal Area, the Coastal Boundary, represents an area within which activities regulated or conducted by coastal municipalities must be consistent with the Coastal Management Act. As defined in this section of the statutes, the Coastal Area includes the land and water within the area delineated by the following: the westerly, southerly and easterly limits of the state's jurisdiction in Long Island Sound; the towns of Greenwich, Stamford, Darien, Norwalk, Westport, Fairfield, Bridgeport, Stratford, Shelton, Milford, Orange, West Haven, New Haven, Hamden, North Haven, East Haven, Branford, Guilford, Madison, Clinton, Westbrook, Deep River, Chester, Essex, Old Saybrook, Lyme, Old Lyme, East Lyme, Waterford, New London, Montville, Norwich, Preston, Ledyard, Groton and Stonington. This layer includes a single polygon feature defined by the boundaries described above. Attribute information is comprised of an Av_Legend to denote the coastal area. Data is compiled at 1:24,000 scale. This data is not updated.

  7. c

    Connecticut Parcels 2009

    • geodata.ct.gov
    • data.ct.gov
    • +3more
    Updated Jan 18, 2019
    + more versions
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    Department of Energy & Environmental Protection (2019). Connecticut Parcels 2009 [Dataset]. https://geodata.ct.gov/datasets/CTDEEP::connecticut-parcels-2009
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    Dataset updated
    Jan 18, 2019
    Dataset authored and provided by
    Department of Energy & Environmental Protection
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    See full Data Guide here. Connecticut Parcels for Protected Open Space Mapping is a polygon feature-based layer that includes basic parcel-level information for some towns in Connecticut. This 2009 parcel layer includes information provided by individual municipalities. These parcel data are incomplete and out of date. The accuracy, currency and completeness of the data reflect the content of the data at the time DEEP acquired the data from the individual municipalities. Attribute information is comprised of values such as town name and map lot block number. These data are not updated by CT DEEP and should only be used as a general reference. Critical decisions involving parcel-level information should be based on more recently acquired information from the respective municipalities. These parcels are not to be considered legal boundaries such as boundaries determined from certain classified survey maps or deed descriptions. Parcel boundaries shown in this layer are based on information from municipalities used for property tax purposes. Largely due to differences in horizontal accuracy among various data layers, do not expect these parcel boundaries to line up exactly with or be properly postioned relative to features shown on other layers available from CT DEEP such as scanned USGS topography quadrangle maps, roads, hydrography, town boundaries, and even orthophotograpy.

    The data in the parcel layer was obtained from individual Connecticut municipalities. An effort was made to collect data once from each municipality. The data acquisition date for each set of municipally-supplied parcel data was not recorded and CT DEEP does not keep this information up-to-date. Consequently, these data are out-of-date, incomplete and do not reflect the current state of property ownership in these municipalities. These parcels are not to be considered legal boundaries such as boundaries determined from certain classified survey maps or deed descriptions. Parcel boundaries shown in this layer are based on information from municipalities used for property tax purposes. Parcel boundaries and attribute information have not been updated in this layer since the time the information was originally acquired by CT DEEP. For example, property boundaries are incorrect where subdivisions have occurred. Also, field attribute values are populated only if the information was supplied to CT DEEP. For example, parcels in some towns lack location (street name) information or possibly map lot block values. Therefore, field attributes are inconsistent, may include gaps, and do not represent complete sets of values among all towns. They should not be compared and analyzed across towns. It is emphasized that critical decisions involving parcel-level information be based on more recently obtained information from the respective municipalities. These data are only suitable for general reference purposes. Be cautious when using these data. Many Connecticut municipalities provide access to more up-to-date and more detailed property ownership information on the Internet. This dataset includes parcel information for the following towns: Andover, Ansonia, Ashford, Avon, Beacon Falls, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bolton, Branford, Bridgewater, Brookfield, Brooklyn, Canaan, Canterbury, Canton, Chaplin, Cheshire, Chester, Clinton, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Darien, Deep River, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Lyme, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Granby, Greenwich, Griswold, Groton, Guilford, Haddam, Hamden, Hartford, Hebron, Kent, Killingly, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Lyme, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Milford, Monroe, Montville, Morris, New Britain, New Canaan, New Hartford, New Haven, New London, New Milford, Newington, Newtown, Norfolk, North Branford, North Canaan, North Haven, North Stonington, Norwalk, Norwich, Old Lyme, Old Saybrook, Orange, Oxford, Plainfield, Plainville, Plymouth, Pomfret, Portland, Preston, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Shelton, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Stamford, Sterling, Stonington, Stratford, Suffield, Thomaston, Tolland, Torrington, Union, Vernon, Voluntown, Wallingford, Warren, Washington, Waterbury, Waterford, Watertown, West Hartford, West Haven, Westbrook, Westport, Wethersfield, Willington, Wilton, Winchester, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. For additional information on the Protected Open Space Mapping project, contact the Department of Energy and Environmental Protection, Division of Land Acquisition and Management at 860-424-3016.

  8. The Lyme Regis and Bridport Harbour Revision Order

    • gov.uk
    Updated Jan 26, 2023
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    Marine Management Organisation (2023). The Lyme Regis and Bridport Harbour Revision Order [Dataset]. https://www.gov.uk/government/publications/the-lyme-regis-and-bridport-harbour-revision-order
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    Dataset updated
    Jan 26, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Marine Management Organisation
    Area covered
    Bridport Harbour, Lyme Regis
    Description

    If made, the proposed HRO would consolidate and modernise the statutory harbour powers of both Lyme Regis and Bridport (West Bay) Harbours. This includes modernised powers of general and special direction and clarification of the harbour limits.  The proposed HRO also sets out the penalty for offences relating to moorings and failure to comply with directions. The proposed HRO also makes amendments to the Weymouth Harbour Revision Order 2021.

    More information about the proposals can be viewed in the statement in support and the draft HRO.

    The statutory 42-day public consultation on the HRO starts on 26 January 2023 and ends on 09 March 2023.

    Any person desiring to make an objection or representation concerning the application should write to:

    Marine Licensing Team
    Marine Management Organisation
    Lancaster House
    Hampshire Court
    Newcastle Upon Tyne
    NE4 7YH

    or email to harbourorders@marinemanagement.org.uk

    An objection or representation should:

    i. Be received before the expiry of a period of 42-days consultation period;

    ii. Be made in writing and quoting reference HRO/2020/00004;

    iii. State the grounds of the objection or representation;

    iv. Indicate who is making the objection or representation; and

    v. Give an address to which correspondence relating to the objection or representation may be sent.

  9. e

    Habitat point records from 1993-95 DWT Lyme Regis littoral survey

    • data.europa.eu
    csv
    Updated Oct 11, 2021
    + more versions
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    Joint Nature Conservation Committee (2021). Habitat point records from 1993-95 DWT Lyme Regis littoral survey [Dataset]. https://data.europa.eu/data/datasets/habitat-point-records-from-1993-95-dwt-lyme-regis-littoral-survey
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    csvAvailable download formats
    Dataset updated
    Oct 11, 2021
    Dataset authored and provided by
    Joint Nature Conservation Committee
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    This survey was carried out as part of the Marine Nature Conservation Review (MNCR). The MNCR was started in 1987 by the Nature Conservancy Council and subsequent to the Environment Protection Act 1990, was undertaken by JNCC on behalf of the conservation agencies up to its completion in 1998. The MNCR was initiated to provide a comprehensive baseline of information on marine habitats and species, to aid coastal zone and sea-use management and to contribute to the identification of areas of marine natural heritage importance throughout Great Britain. Data collected through the MNCR was stored in the Marine Recorder database, and has been extracted from Marine Recorder to produce this dataset. For more details, see http://jncc.defra.gov.uk/page-1596.

  10. a

    Lyme Disease - Case Increase

    • pennsylvania-climate-census-stanley.hub.arcgis.com
    Updated Mar 30, 2023
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    10219@stanleygroup.com_stanley (2023). Lyme Disease - Case Increase [Dataset]. https://pennsylvania-climate-census-stanley.hub.arcgis.com/maps/17dcfcde4d0e4c978966e3166721f570
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    Dataset updated
    Mar 30, 2023
    Dataset authored and provided by
    10219@stanleygroup.com_stanley
    Area covered
    Description

    lyme disease case increase map PA

  11. Lyme Diseases Cases by US County 2000 2021 Geodata

    • hub.arcgis.com
    Updated Jul 5, 2023
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    Centers for Disease Control and Prevention (2023). Lyme Diseases Cases by US County 2000 2021 Geodata [Dataset]. https://hub.arcgis.com/maps/cdcarcgis::lyme-diseases-cases-by-us-county-2000-2021-geodata
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    Dataset updated
    Jul 5, 2023
    Dataset authored and provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States,
    Description

    This feature layer was created using the Join Features tool on ArcGIS Online. It contains county by county case counts of Lyme disease from 2000 to 2021. It is primarily used for dot density visualizations. It also contains estimated US county populations for 2020. United states data only.Reference MaterialsLyme Disease WebsiteLyme Disease Maps Contact Informationbdbepigroup@cdc.gov

  12. w

    Dataset of books called The Axminster & Lyme Regis Light Railway, with...

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books called The Axminster & Lyme Regis Light Railway, with complementary road passenger services [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=The+Axminster+%26+Lyme+Regis+Light+Railway%2C+with+complementary+road+passenger+services
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    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Lyme Regis
    Description

    This dataset is about books. It has 1 row and is filtered where the book is The Axminster & Lyme Regis Light Railway, with complementary road passenger services. It features 7 columns including author, publication date, language, and book publisher.

  13. Protected Open Space View

    • data.ct.gov
    • deepmaps.ct.gov
    • +4more
    application/rdfxml +5
    Updated Jan 29, 2025
    + more versions
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    Department of Energy and Environmental Protection (2025). Protected Open Space View [Dataset]. https://data.ct.gov/Environment-and-Natural-Resources/Protected-Open-Space-View/7mgg-eyup
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    tsv, xml, application/rdfxml, csv, application/rssxml, jsonAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    Connecticut Department of Energy and Environmental Protectionhttps://www.ct.gov/deep/
    Authors
    Department of Energy and Environmental Protection
    Description

    See full Data Guide here. This layer includes polygon features that depict protected open space for towns of the Protected Open Space Mapping (POSM) project, which is administered by the Connecticut Department of Energy and Environmental Protection, Land Acquisition and Management. Only parcels that meet the criteria of protected open space as defined in the POSM project are in this layer. Protected open space is defined as: (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non-facility-based outdoor recreation, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities. Includes protected open space data for the towns of Andover, Ansonia, Ashford, Avon, Beacon Falls, Canaan, Clinton, Berlin, Bethany, Bethel, Bethlehem, Bloomfield, Bridgewater, Bolton, Brookfield, Brooklyn, Canterbury, Canton, Chaplin, Cheshire, Colchester, Colebrook, Columbia, Cornwall, Coventry, Cromwell, Danbury, Derby, East Granby, East Haddam, East Hampton, East Hartford, East Windsor, Eastford, Ellington, Enfield, Essex, Farmington, Franklin, Glastonbury, Goshen, Granby, Griswold, Groton, Guilford, Haddam, Hampton, Hartford, Hebron, Kent, Killingworth, Lebanon, Ledyard, Lisbon, Litchfield, Madison, Manchester, Mansfield, Marlborough, Meriden, Middlebury, Middlefield, Middletown, Monroe, Montville, Morris, New Britain, New Canaan, New Fairfield, New Milford, New Hartford, Newington, Newtown, Norfolk, North, Norwich, Preston, Ridgefield, Shelton, Stonington, Oxford, Plainfield, Plainville, Pomfret, Portland, Prospect, Putnam, Redding, Rocky Hill, Roxbury, Salem, Salisbury, Scotland, Seymour, Sharon, Sherman, Simsbury, Somers, South Windsor, Southbury, Southington, Sprague, Sterling, Suffield, Thomaston, Thompson, Tolland, Torrington, Union, Vernon, Wallingford, Windham, Warren, Washington, Waterbury, Watertown, West Hartford, Westbrook, Weston, Wethersfield, Willington, Wilton, Windsor, Windsor Locks, Wolcott, Woodbridge, Woodbury, and Woodstock. Additional towns are added to this list as they are completed. The layer is based on information from various sources collected and compiled during the period from March 2005 through the present. These sources include but are not limited to municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions as of the date of research at each city or town hall. The Protected Open Space layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town Assessor's lot numbering system, and system-defined (automatically generated) fields. The Protected Open Space layer has an accompanying table containing more detailed information about each feature (parcel). This table is called Protected Open Space Dat, and can be joined to Protected Open Space in ArcMap using the parcel ID (PAR_ID) field. Detailed information in the Protected Open Space Data attribute table includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the unique parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, and acreage. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygons that represent the best available locational information, and are "best fit" to the land base available for each.

    The Connecticut Department of Environmental Protection's (CTDEP) Permanently Protected Open Space Phase Mapping Project Phase 1 (Protected Open Space Phase1) layer includes permanently protected open space parcels in towns in Phase 1 that meet the CTDEP's definition for this project, the Permanently Protected Open Space Mapping (CT POSM) Project. The CTDEP defines permanently protected open space as (1) Land or interest in land acquired for the permanent protection of natural features of the state's landscape or essential habitat for endangered or threatened species; or (2) Land or an interest in land acquired to permanently support and sustain non facility-based outdoor recreations, forestry and fishery activities, or other wildlife or natural resource conservation or preservation activities.

    Towns in Phase 1 of the CT POSM project are situated along the CT coast and portions of the Thames River and are the following: Branford, Bridgeport, Chester, Clinton, Darien, Deep River, East Haven, East Lyme, Essex, Fairfield, Greenwich, Groton, Guilford, Hamden, Ledyard, Lyme, Madison, Milford, Montville, New Haven, New London, North Branford, North Haven, Norwalk, Norwich, Old Lyme, Old Saybrook, Orange, Preston, Shelton, Stamford, Stonington, Stratford, Waterford, West Haven, Westbrook, Westport.

    For the purposes of the project a number of categories or classifications of open space have also been created. These include: Land Trust, Land Trust with buidlings, Private, Private with buildings, Utility Company, Utility Company with buildings, Federal, State, Municipal, Municipal with buildings, Conservation easement, and non-DEP State land. The layer is based on information from various sources collected and compiled during the period from August 2002 trhough October 2003. These sources include municipal Assessor's records (the Assessor's database, hard copy maps and deeds) and existing digital parcel data. The layer represents conditions on the date of research at each city or town hall.

    The Protected Open Space Phase1 layer includes the parcel shape (geometry), a project-specific parcel ID based on the Town and Town's Assessor lot numbering system, and system-defined (automatically generated) fields. In addition, the Protected_Open_Space_Phase1 layer has an accompanying table containing more detailed information about each parcel's collection, standardization and storage. This table is called Protected Open Space Phase1 Data and can be joined to Protected Open Space Phase1 in ArcMap using the parcel ID (PAR_ID) field. Detailed information includes the Assessor's Map, Block and Lot numbers (the Assessor's parcel identification numbering system), the official name of the parcel (such as the park or forest name if it has one), address and owner information, the deed volume and page numbers, survey information, open space type, the project-specific parcel ID number (Par_ID), comments collected by researchers during city/town hall visits, acreage collected during site reconaissance and the data source. This layer does not include parcels that do not meet the definition of open space as defined above. Features are stored as polygon feature type that represent the best available locational information, i.e. "best fit" to the land base available for each.

    Phase 1 of the Protected Open Space Mapping (POSM) Project was accomplished by a contractor using only a querying process to identify open space. The contractor obtained assessor's data from the various towns and created programs to cull open space parcels strictly by query processes. We have found many errors and omissions in the data, but at this point in the project we cannot revisit all the coastal towns. Therefore, this data is being sent with a disclaimer for accuracy. You are welcome to use it but not to publish it. Please note that we do not include any water company parcels despite them being listed as part of our criteria because we must first obtain written clarification and clearance from the U.S. Department of Homeland Security.

    We have since changed our data collection method for Phase 2 of this project. DEP staff now visit each town hall and thoroughly research the land records. The project is expected to be complete by 2010.

  14. v

    Eelgrass Beds 2009 Set

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.ct.gov
    • +7more
    Updated Feb 12, 2025
    + more versions
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    Department of Energy & Environmental Protection (2025). Eelgrass Beds 2009 Set [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/eelgrass-beds-2009-set-46183
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    Dataset updated
    Feb 12, 2025
    Dataset provided by
    Department of Energy & Environmental Protection
    Description

    Eelgrass Beds 2009 Set: This data layer was created by the Conservation Management Institute, Virginia Tech University for the USFWS National Wetlands Inventory, Region 5. The project area encompasses the eastern end of Long Island Sound, including Fishers Island and the North Fork of Long Island. It includes all coastal embayments and nearshore waters (i.e., to a depth of -15 feet at mean low water) bordering the Sound from Clinton Harbor in the west to the Rhode Island border in the east and including Fishers Island and the North Shore of Long Island from Southold to Orient Point and Plum Island. The study area includes the tidal zone of 18 sub-basins in Connecticut: Little Narragansett Bay, Stonington Harbor, Quiambog Cove, Mystic Harbor, Palmer-West Cove, Mumford Cove, Paquonock River, New London Harbor, Goshen Cove, Jordan Cove, Niantic Bay, Rocky Neck State Park, Old Lyme Shores, Connecticut River, Willard Bay, Westbrook Harbor, Duck Island Roads, and Clinton Harbor, and two areas in New York: Fishers Island and a portion of the North Shore of Long Island. Delineations of 2009 eelgrass beds were completed using 1:20,000 true color aerial photography flown at low tide on 7/14/2009 and 7/15/2009. Extensive field work was conducted by the USFWS Region 5 Southern New England-New York Bight Coastal Program Office in October, November, and December 2009 with 193 field sites checked. The 2009 photography was scanned and geo-rectified using 2006 NAIP 1 meter true color imagery. Data have been summarized in a technical report: Tiner, R., K. McGuckin, M. Fields, N. Fuhrman, T. Halavik, and A. MacLachlan. 2010. 2009 Eelgrass Survey for Eastern Long Island Sound, Connecticut and New York. U.S. Fish and Wildlife Service, National Wetlands Inventory Program, Northeast Region, Hadley, MA. National Wetlands Inventory report. 16 pp. plus Appendix. This data layer was created by the Conservation Management Institute, Virginia Tech University for the USFWS National Wetlands Inventory, Region 5. The project area encompasses the eastern end of Long Island Sound, including Fishers Island and the North Fork of Long Island. It includes all coastal embayments and nearshore waters (i.e., to a depth of -15 feet at mean low water) bordering the Sound from Clinton Harbor in the west to the Rhode Island border in the east and including Fishers Island and the North Shore of Long Island from Southold to Orient Point and Plum Island. The study area includes the tidal zone of 18 sub-basins in Connecticut: Little Narragansett Bay, Stonington Harbor, Quiambog Cove, Mystic Harbor, Palmer-West Cove, Mumford Cove, Paquonock River, New London Harbor, Goshen Cove, Jordan Cove, Niantic Bay, Rocky Neck State Park, Old Lyme Shores, Connecticut River, Willard Bay, Westbrook Harbor, Duck Island Roads, and Clinton Harbor, and two areas in New York: Fishers Island and a portion of the North Shore of Long Island. Delineations of 2009 eelgrass beds were completed using 1:20,000 true color aerial photography flown at low tide on 7/14/2009 and 7/15/2009. Extensive field work was conducted by the USFWS Region 5 Southern New England-New York Bight Coastal Program Office in October, November, and December 2009 with 193 field sites checked. The 2009 photography was scanned and geo-rectified using 2006 NAIP 1 meter true color imagery.

  15. Landscape predictors of the density of host-seeking I. scapularis nymphs.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Casey Finch; Mohammed Salim Al-Damluji; Peter J. Krause; Linda Niccolai; Tanner Steeves; Corrine Folsom O’Keefe; Maria A. Diuk-Wasser (2023). Landscape predictors of the density of host-seeking I. scapularis nymphs. [Dataset]. http://doi.org/10.1371/journal.pone.0084758.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Casey Finch; Mohammed Salim Al-Damluji; Peter J. Krause; Linda Niccolai; Tanner Steeves; Corrine Folsom O’Keefe; Maria A. Diuk-Wasser
    License

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

    Description

    Negative binomial regression univariate models of the association between lawn and shrub landscape metrics and the density of host-seeking Ixodes scapularis nymphs (statistically significant results at p

  16. British Geological Survey (BGS) Geophysical and Sampling Survey 1971/11:...

    • ckan.publishing.service.gov.uk
    • hosted-metadata.bgs.ac.uk
    • +2more
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    ckan.publishing.service.gov.uk, British Geological Survey (BGS) Geophysical and Sampling Survey 1971/11: Lyme Regis (20/Sep/1971 to 03/Oct/1971) [Dataset]. https://ckan.publishing.service.gov.uk/dataset/british-geological-survey-bgs-geophysical-and-sampling-survey-1971-11-lyme-regis-20-sep-19-1971
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    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    Lyme Regis
    Description

    This British Geological Survey (BGS) regional marine geophysical and sampling survey took place in September-October 1971 in Lyme Bay on board the fishing vessel Dorset Lass. The purpose was to obtain more information on sediment transport and solid geology, carried out in conjunction with the Engineering Geology Unit. Sonar records were obtained from a KH MS.47 transit sonar. Seabed samples were collected by scuba divers. These data are archived by BGS. Summary details of the survey are contained in Institute Geological Sciences (IGS) Report 79/10.

  17. 1978 Dorset County Council, Portland Bill to Lyme Regis, Dorset Underwater...

    • ckan.publishing.service.gov.uk
    • data.europa.eu
    • +1more
    Updated Sep 10, 2024
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    ckan.publishing.service.gov.uk (2024). 1978 Dorset County Council, Portland Bill to Lyme Regis, Dorset Underwater Survey (DUS) Sublittoral dive survey and littoral survey [Dataset]. https://ckan.publishing.service.gov.uk/dataset/1978-dorset-county-council-portland-bill-to-lyme-regis-dorset-underwater-survey-dus-sublittoral
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    Dataset updated
    Sep 10, 2024
    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    Isle of Portland, Lyme Regis, Portland Bill, Dorset
    Description

    All these records are related to"Dorset Heritage Coast (1979) - Report of the Third Dorset Underwater Survey" All original recording forms are held at Dorset County Museum. Copies of the forms are held at Dorset Environmental Records Centre. This is the third of the three Dorset Underwater Surveys (1976 - 1978). This survey recorded the wildlife in the underwater areas between Portland Bill and Lyme Regis and concentrated on the mapping of associations and their habitats. A diving team surveyed 35 sublittoral sites between 17.8.1978 and 15.9.1978. An additional 5 sites were surveyed in the littoral zone. The seaward extent of the survey area was variable but reached a maximum of 2.5km from the coast near Seatown. Sites from the littoral zone to 18m below chart datum were visited.

  18. o

    God save the King: or, A sermon preach'd at Lyme-Regis May 18. 1660. at the...

    • llds.ling-phil.ox.ac.uk
    Updated Mar 12, 2024
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    Ames Short (2024). God save the King: or, A sermon preach'd at Lyme-Regis May 18. 1660. at the solemn proclamation of his most Excellent Majesty Charles the II. by the grace of God, of England, Scotland, France and Ireland, King, defender of the faith. / By Ames Short M.A. minister there. [Dataset]. https://llds.ling-phil.ox.ac.uk/llds/xmlui/handle/20.500.14106/A93187
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    Dataset updated
    Mar 12, 2024
    Authors
    Ames Short
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    England, France, Ireland, Lyme Regis
    Description

    (:unav)...........................................

  19. o

    An acte for the maintenance of the peere and cobbe of Lyme Regis, in the...

    • llds.phon.ox.ac.uk
    • llds.ling-phil.ox.ac.uk
    Updated Jul 7, 2025
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    England and Wales. Sovereign (1558-1603 : Elizabeth I); Queen of England Elizabeth I (2025). An acte for the maintenance of the peere and cobbe of Lyme Regis, in the countie of Dorset [Dataset]. https://llds.phon.ox.ac.uk/llds/xmlui/handle/20.500.14106/A21829?show=full
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    Dataset updated
    Jul 7, 2025
    Authors
    England and Wales. Sovereign (1558-1603 : Elizabeth I); Queen of England Elizabeth I
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Lyme Regis, Dorset
    Description

    (:unav)...........................................

  20. a

    Lyme Disease - Cost

    • pennsylvania-climate-census-stanley.hub.arcgis.com
    Updated Mar 30, 2023
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    10219@stanleygroup.com_stanley (2023). Lyme Disease - Cost [Dataset]. https://pennsylvania-climate-census-stanley.hub.arcgis.com/items/960c2e3bfcd6448d82b2d4ff64655145
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    Dataset updated
    Mar 30, 2023
    Dataset authored and provided by
    10219@stanleygroup.com_stanley
    Area covered
    Description

    lyme disease cost map PA

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Centers for Disease Control and Prevention (2023). Reported Cases of Lyme Disease by County of Residence Map, United States [Dataset]. https://hub.arcgis.com/maps/79ac8e83430d4ea2a925027a91214c33
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Reported Cases of Lyme Disease by County of Residence Map, United States

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Dataset updated
Jun 24, 2023
Dataset authored and provided by
Centers for Disease Control and Preventionhttp://www.cdc.gov/
Area covered
United States,
Description

This map shows the location of reported Lyme disease cases and changes in these cases over time from 2000 to 2020. Each dot on the map represents one case of Lyme disease. Cases are marked in the case’s county of residence, not necessarily the county of exposure. The map does not include data where county of residence was not reported. People travel between counties and states, and the place of residence is sometimes different from the place where the patient became infected.The map also shows shaded states with high incidence of Lyme disease. Many high incidence states have modified surveillance practices. Contact your state health department for more information.Data used to make this map are reported through the National Notifiable Disease Surveillance System.Many high incidence states have modified surveillance practices that have led to notable decreases in case counts over time. Consequently, these data may not accurately represent disease trends in those areas. Reference MaterialsLyme Disease | Lyme Disease | CDCAnnual statistics from the National Notifiable Diseases Surveillance System (NNDSS). (cdc.gov)Contact InformationBZB_Public@cdc.gov

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