100+ datasets found
  1. Rockfish Conservation Area Waypoints - R7 - CDFW [ds3145]

    • catalog.data.gov
    • data.ca.gov
    • +5more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). Rockfish Conservation Area Waypoints - R7 - CDFW [ds3145] [Dataset]. https://catalog.data.gov/dataset/rockfish-conservation-area-waypoints-r7-cdfw-ds3145-7259a
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    Description

    Rockfish Conservation Areas (RCAs) are closed areas for west coast groundfish fisheries and for some fisheries that may incidentally take groundfish as bycatch. The RCA boundary line is a connection of a series of GPS coordinates published in federal regulations (See 50 CFR 660.71-660.74) that are intended to approximate underwater depth contours. RCA boundaries are used in groundfish regulations to avoid interactions with certain groundfish species of concern and may change between seasons and Recreational Fishing Management Areas. Attributes:area_name: Unique name field identifying depth and location of waypoint.Fathom: Approximate depth in fathoms of waypoint.Region: Describes which of the five groundfish management zones the waypoint is in.lat_DDM: Latitude in Decimal Degrees Minutes format.lon_DDM: Longitude in Decimal Degrees Minutes format.lat_DD: Latitude in Decimal Degrees format.lon_DD: Longitude in Decimal Degrees format.

  2. z

    Coastal Significant Conservation Areas - Dataset - data.govt.nz - discover...

    • portal.zero.govt.nz
    • catalogue.data.govt.nz
    Updated Apr 8, 2021
    + more versions
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    zero.govt.nz (2021). Coastal Significant Conservation Areas - Dataset - data.govt.nz - discover and use data [Dataset]. https://portal.zero.govt.nz/77d6ef04507c10508fcfc67a7c24be32/dataset/coastal-significant-conservation-areas2
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    Dataset updated
    Apr 8, 2021
    License

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

    Description

    Means an area within the coastal marine area identified for the purposes of this Plan to manage activities and the effects of activities within areas having significant conservation values, particularly cultural, ecological, historic, or wildlife values. The areas are identified on the maps in Volume 2 of this Plan. Where a Significant Conservation Area adjoins the Coastal Margin, the landward boundary of those Significant Conservation Areas is mean high water springs.

  3. a

    Conservation Areas

    • maps-broxtowe.opendata.arcgis.com
    • cloud.csiss.gmu.edu
    • +1more
    Updated Jan 22, 2018
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    Broxtowe Borough Council (2018). Conservation Areas [Dataset]. https://maps-broxtowe.opendata.arcgis.com/datasets/conservation-areas
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    Dataset updated
    Jan 22, 2018
    Dataset authored and provided by
    Broxtowe Borough Council
    Area covered
    Description

    Local planning authorities are obliged to designate as conservation areas any parts of their own area that are of special architectural or historic interest, the character and appearance of which it is desirable to preserve or enhance.Local planning authorities also have a duty to review past designations from time to time to determine if any further parts of their area should be conservation areas. Conservation area designation introduces a general control over the demolition of unlisted buildings and provides a basis for planning policies whose objective is to conserve all aspects of character or appearance, including landscape and public spaces, that define an area’s special interestThis layer shows the location of designated Conservation Areas in the borough of Broxtowe.

  4. d

    Development Plan 2022-2028 - Existing Conservation Areas DLR

    • datasalsa.com
    csv, geojson, kml +1
    Updated Mar 5, 2024
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    Dún Laoghaire-Rathdown County Council (2024). Development Plan 2022-2028 - Existing Conservation Areas DLR [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=development-plan-2022-2028-existing-conservation-areas-dlr
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    csv, kml, zip, geojsonAvailable download formats
    Dataset updated
    Mar 5, 2024
    Dataset authored and provided by
    Dún Laoghaire-Rathdown County Council
    Time period covered
    Mar 5, 2024
    Description

    Development Plan 2022-2028 - Existing Conservation Areas DLR. Published by Dún Laoghaire-Rathdown County Council. Available under the license cc-by (CC-BY-4.0).Existing Conservation Areas as per the adopted Dún Laoghaire–Rathdown County Council Development Plan 2022-2028 (https://www.dlrcoco.ie/CDP2022-2028).

    Layer showing locations of all existing conservations areas from the Dun Laoghaire-Rathdown County Council Draft Development Plan (2022-2028). Data includes Existing Candidate Architectural Conservation Areas (cACA) & Architectural Conservation Areas (ACA). An Architectural Conservation Area may consist of groupings of buildings and streetscapes and associated open spaces. The protected status afforded by inclusion in an ACA only applies to the exteriors of structures and features of the streetscape. It does not prevent internal changes or rearrangements provided that these changes do not impact on the external appearance of the structure.

    These geospatial layers are indicative of the published version of the maps. If there are any discrepancies between this layer and the published maps, the published maps shall prevail. Dún Laoghaire – Rathdown County Council (DLR CoCo) provides this data for information only. DLR CoCo makes no guaranteed as to the accuracy, timeliness or completeness of any of the data. DLR CoCo shall have no liability for the data or lack thereof, or any decision made or action taken or not taken in reliance upon any of the data. This data may not be used for any other purpose without prior permission.

    ...

  5. w

    Goodiman State Conservation Area vegetation map, 2013. VIS_Id 4355

    • data.wu.ac.at
    • data.nsw.gov.au
    • +2more
    pdf, zip
    Updated Jun 15, 2018
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    Office of Environment and Heritage (OEH) (2018). Goodiman State Conservation Area vegetation map, 2013. VIS_Id 4355 [Dataset]. https://data.wu.ac.at/schema/data_nsw_gov_au/NDY5YmYzYjEtNGNmZS00NzBhLWJkZjUtNjJiOTI3MjcyYTZk
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    zip, pdfAvailable download formats
    Dataset updated
    Jun 15, 2018
    Dataset provided by
    Office of Environment and Heritage (OEH)
    License

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

    Area covered
    f20ce9250c1b982cfb910b682b218baaad59469d
    Description

    A compilation of the vegetation data stored in the source feature dataset. Each estate has best available veg mapping as determined by PaCs Botanist, with Keith Formations and fire thresholds added. Estate includes NPWS acquired lands. To recieve further updates contact individual NPWS Region STOs. All information is best available at time of production. Fields are Description: Vegetation type as described in feature class Code: code as described in feature class PCT: added where available (If ends in * more than one community may have been listed in report, only first community was added) NSW_Class: added where available (If ends in * more than one community may have been listed in report, only first community was added) NSW_Formation: added for all polygons FormationSourceID: links to FormationSourceLUT, oultines how formation was assigned and history of changes. Veg - long integer links Fire_Veg_Type_LUT which contains Min: minimum years btw burns Max: Maximum years between burns, Adv: 1= fire advantage and Regime Source. This code is dependent on region 1000-FWR 2000 - NPR 3000 -NTR 4000 - WRR, 9000 - Standardised classes Keith classes linking to regimes defined by Bradstock. Original_id: object id in source feature class source_id: Code relating to Vegetation sourceLUTdetailing origin of vegetation feature class, any changes made PWGRegion:domain with NPWG region PWGArea:domain with NPWG area EstateName: domain with NPWG estate name, also includes offpark Hectares - calculated useing calculate geometry, GDA94 z55 Last updated August 2013, Version 5. VIS_ID 4355

  6. BLM AZ National Monuments and National Conservation Areas

    • catalog.data.gov
    • gbp-blm-egis.hub.arcgis.com
    Updated Nov 20, 2024
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    Bureau of Land Management (2024). BLM AZ National Monuments and National Conservation Areas [Dataset]. https://catalog.data.gov/dataset/blm-az-national-monuments-and-national-conservation-areas-polygon-a1616
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    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Arizona
    Description

    This dataset depicts the boundaries of the Bureau of Land Management's (BLM's) National Monuments (NMs) and National Conservation Areas (NCAs) in Arizona as part of the National Landscape Conservation System (NLCS) data standards. The NLCS NM NCA dataset also depicts similar land designations such as Cooperative Management and Protection Areas, Forest Reserves, and Outstanding Natural areas. The NLCS NM NCA dataset is in progress as of April 30, 2019. Only the Gila Box Riparian NCA has completed the process of legal description, map creation, certification, and submittal to Congress. The remaining NMs and NCAs are awaiting the draft of legal descriptions. As legal descriptions are finalized and certified, the NLCS dataset may require updating to ensure that the spatial footprints of the NM and NCA boundary data match their respective legal descriptions. Once the boundaries are confirmed, no further changes to the NM/NCA boundary data should be made. Boundary changes can only be made through an amendment to the legal description and direct notification to Congress. The Antiquities Act of 1906 grants the President authority to designate national monuments in order to protect “objects of historic or scientific interest.” NCAs and similarly designated lands are designated by Congress to conserve, protect, enhance, and manage public lands for the benefit and enjoyment of present and future generations. In June 2000, the Bureau of Land Management (BLM) responded to growing concern over the loss of open space by creating the NLCS. The NLCS brings into a single system some of the BLM's premier designations. By putting these lands into an organized system, the BLM hopes to increase public awareness of the scientific, cultural, educational, ecological, and other values of these NM/NCA boundaries. The Public Law (P.L.) 101-628 established Gila Box Riparian NCA; P.L. 106-538 established the Las Cienegas NCA (also Sonoita Valley Acquisition Planning District), and P.L. 100-696 established San Pedro Riparian NCA. Each of these laws required the BLM to file boundary legal descriptions and maps to Congress for each NCA. As of April 30, 2019, only the Gila Box Riparian National Conservation Area has completed legal description, map depiction, certification, and submission to Congress. All other NM/NCA have gone through review by Arizona field offices. Draft maps have been completed and are awaiting legal descriptions to be drafted with the exception of the Grand Canyon-Parashant NM. All proposed boundaries are included in this dataset. When legal descriptions are finalized and certified, minor updates may be necessary to ensure that the geospatial depiction of the NM/NCA boundary data matches the legal descriptions, after which no further changes to the geospatial NM/NCA boundary data should be made. The standards, format and language for the legal descriptions and boundary maps were developed during regular meetings of the NLCS Coordinator, geospatial specialists and the Cadastral Surveyors regarding Arizona NLCS data. Guidance was provided from Congressional required maps and legal boundary descriptions for the NLCS Designation Manual 6120 (March, 2010). Established through Presidential Proclamation, there is no requirement for BLM to file boundary legal descriptions or maps with Congress for the National Monument. However, the NLCS Coordinator and Cadastral Survey Chief decided that it was prudent to extend the boundary process to NMs.

  7. d

    Map of Specific Soil and Water Conservation Areas in 114th District 47

    • data.gov.tw
    shp
    Updated Mar 12, 2025
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    Ministry of Agriculture (2025). Map of Specific Soil and Water Conservation Areas in 114th District 47 [Dataset]. https://data.gov.tw/en/datasets/173077
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    shpAvailable download formats
    Dataset updated
    Mar 12, 2025
    Dataset authored and provided by
    Ministry of Agriculture
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Provide the range map shp download file of the 47 specific soil and water conservation areas in the 114th year, including OBJECTID (object code), CLASS (type), SWCB_Name (specific soil and water conservation area name), County01 (county/city 01), Town01 (township 01), Vill01 (village/neighborhood 01), County02 (county/city 02), Town02 (township 02), Vill02 (village/neighborhood 02), TWD97_X (X coordinate), TWD97_Y (Y coordinate), Administer (management authority code), P_DATE (designated announcement date), P_Area (designated area), DEBRISNO (debris flow potential stream number), Potential (risk level), Length (stream length (km)), R_area (watershed area (ha)), Mapid01 (map number 01), Mapid02 (map number 02), Twpark (located in a national park), TWscenic (located in a national scenic area), Basin (watershed area), Sub_basin (sub-watershed area), SWCB_Plan (specific soil and water conservation area name), Shape_Leng (specific soil and water conservation area perimeter), Shape_Area (specific soil and water conservation area area), Date (revised date), and other fields

  8. d

    Conservation Areas Documentation

    • data.gov.uk
    Updated Jan 2, 2025
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    London Borough of Barnet (2025). Conservation Areas Documentation [Dataset]. https://www.data.gov.uk/dataset/e963b31c-82f8-49f7-8ed8-fee9e3505797/conservation-areas-documentation
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    Dataset updated
    Jan 2, 2025
    Dataset authored and provided by
    London Borough of Barnet
    License

    https://www.data.gov.uk/dataset/e963b31c-82f8-49f7-8ed8-fee9e3505797/conservation-areas-documentation#licence-infohttps://www.data.gov.uk/dataset/e963b31c-82f8-49f7-8ed8-fee9e3505797/conservation-areas-documentation#licence-info

    Description

    Conservation areas are those areas identified by the Local Planning Authority as having special architectural or historic interest which merits designation. Documentation including area character appraisals and boundary maps are published here for reference and to support the Open Digital Planning project. Conservation Areas were introduced through the Civic Amenities Act 1967. They are ‘areas of special architectural or historic interest, the character and appearance of which it is desirable to preserve or enhance’ (Section 69(1)(a) of the Planning (Listed Buildings and Conservation Areas) Act 1990). Conservation Area status acknowledges the importance of an area, highlighting its real and potential attractiveness. It also means that the council’s efforts in the area are geared to preserving and enhancing its special character. In the files section is included the Conservation Areas Documents dataset. This dataset is about documents that provide sources for the information contained in the conservation areas dataset. These documents are the authoritative source and provide the context around the history and impact of the conservation areas. The Open Government Licence (OGL) generally allows for the use of government data, including maps, with minimal restrictions. However, in this case, the maps within the documents are governed by the Public Sector Geospatial Agreement (PGSA).

  9. d

    Protected Areas Database of the United States (PAD-US) 2.1

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Protected Areas Database of the United States (PAD-US) 2.1 [Dataset]. https://catalog.data.gov/dataset/protected-areas-database-of-the-united-states-pad-us-2-1
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States
    Description

    NOTE: A more current version of the Protected Areas Database of the United States (PAD-US) is available: PAD-US 3.0 https://doi.org/10.5066/P9Q9LQ4B. The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme (https://communities.geoplatform.gov/ngda-cadastre/). The PAD-US is an ongoing project with several published versions of a spatial database including areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational, or cultural uses, managed for these purposes through legal or other effective means. The database was originally designed to support biodiversity assessments; however, its scope expanded in recent years to include all public and nonprofit lands and waters. Most are public lands owned in fee (the owner of the property has full and irrevocable ownership of the land); however, long-term easements, leases, agreements, Congressional (e.g. 'Wilderness Area'), Executive (e.g. 'National Monument'), and administrative designations (e.g. 'Area of Critical Environmental Concern') documented in agency management plans are also included. The PAD-US strives to be a complete inventory of public land and other protected areas, compiling “best available” data provided by managing agencies and organizations. The PAD-US geodatabase maps and describes areas using over twenty-five attributes and five feature classes representing the U.S. protected areas network in separate feature classes: Fee (ownership parcels), Designation, Easement, Marine, Proclamation and Other Planning Boundaries. Five additional feature classes include various combinations of the primary layers (for example, Combined_Fee_Easement) to support data management, queries, web mapping services, and analyses. This PAD-US Version 2.1 dataset includes a variety of updates and new data from the previous Version 2.0 dataset (USGS, 2018 https://doi.org/10.5066/P955KPLE ), achieving the primary goal to "Complete the PAD-US Inventory by 2020" (https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-vision) by addressing known data gaps with newly available data. The following list summarizes the integration of "best available" spatial data to ensure public lands and other protected areas from all jurisdictions are represented in PAD-US, along with continued improvements and regular maintenance of the federal theme. Completing the PAD-US Inventory: 1) Integration of over 75,000 city parks in all 50 States (and the District of Columbia) from The Trust for Public Land's (TPL) ParkServe data development initiative (https://parkserve.tpl.org/) added nearly 2.7 million acres of protected area and significantly reduced the primary known data gap in previous PAD-US versions (local government lands). 2) First-time integration of the Census American Indian/Alaskan Native Areas (AIA) dataset (https://www2.census.gov/geo/tiger/TIGER2019/AIANNH) representing the boundaries for federally recognized American Indian reservations and off-reservation trust lands across the nation (as of January 1, 2020, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey) addressed another major PAD-US data gap. 3) Aggregation of nearly 5,000 protected areas owned by local land trusts in 13 states, aggregated by Ducks Unlimited through data calls for easements to update the National Conservation Easement Database (https://www.conservationeasement.us/), increased PAD-US protected areas by over 350,000 acres. Maintaining regular Federal updates: 1) Major update of the Federal estate (fee ownership parcels, easement interest, and management designations), including authoritative data from 8 agencies: Bureau of Land Management (BLM), U.S. Census Bureau (Census), Department of Defense (DOD), U.S. Fish and Wildlife Service (FWS), National Park Service (NPS), Natural Resources Conservation Service (NRCS), U.S. Forest Service (USFS), National Oceanic and Atmospheric Administration (NOAA). The federal theme in PAD-US is developed in close collaboration with the Federal Geographic Data Committee (FGDC) Federal Lands Working Group (FLWG, https://communities.geoplatform.gov/ngda-govunits/federal-lands-workgroup/); 2) Complete National Marine Protected Areas (MPA) update: from the National Oceanic and Atmospheric Administration (NOAA) MPA Inventory, including conservation measure ('GAP Status Code', 'IUCN Category') review by NOAA; Other changes: 1) PAD-US field name change - The "Public Access" field name changed from 'Access' to 'Pub_Access' to avoid unintended scripting errors associated with the script command 'access'. 2) Additional field - The "Feature Class" (FeatClass) field was added to all layers within PAD-US 2.1 (only included in the "Combined" layers of PAD-US 2.0 to describe which feature class data originated from). 3) Categorical GAP Status Code default changes - National Monuments are categorically assigned GAP Status Code = 2 (previously GAP 3), in the absence of other information, to better represent biodiversity protection restrictions associated with the designation. The Bureau of Land Management Areas of Environmental Concern (ACECs) are categorically assigned GAP Status Code = 3 (previously GAP 2) as the areas are administratively protected, not permanent. More information is available upon request. 4) Agency Name (FWS) geodatabase domain description changed to U.S. Fish and Wildlife Service (previously U.S. Fish & Wildlife Service). 5) Select areas in the provisional PAD-US 2.1 Proclamation feature class were removed following a consultation with the data-steward (Census Bureau). Tribal designated statistical areas are purely a geographic area for providing Census statistics with no land base. Most affected areas are relatively small; however, 4,341,120 acres and 37 records were removed in total. Contact Mason Croft (masoncroft@boisestate) for more information about how to identify these records. For more information regarding the PAD-US dataset please visit, https://usgs.gov/gapanalysis/PAD-US/. For more information about data aggregation please review the Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual .

  10. Rockfish Conservation Area - R7 - CDFW [ds3144]

    • data.cnra.ca.gov
    • data.ca.gov
    • +4more
    Updated Jan 4, 2025
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    California Department of Fish and Wildlife (2025). Rockfish Conservation Area - R7 - CDFW [ds3144] [Dataset]. https://data.cnra.ca.gov/dataset/rockfish-conservation-area-r7-cdfw-ds3144
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    html, zip, arcgis geoservices rest api, kml, csv, geojsonAvailable download formats
    Dataset updated
    Jan 4, 2025
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Description

    Rockfish Conservation Areas (RCAs) are closed areas for west coast groundfish fisheries and for some fisheries that may incidentally take groundfish as bycatch. The RCA boundary line is a connection of a series of GPS coordinates published in federal regulations (See 50 CFR 660.71-660.74) that are intended to approximate underwater depth contours. RCA boundaries are used in groundfish regulations to avoid interactions with certain groundfish species of concern and may change between seasons and Recreational Fishing Management Areas.

    The process of digitizing these boundary lines is as follows:

    • area_name: Unique name field displaying depth and location.

    • Fathom: Approximate depth in fathoms of contour line.

    • Region: Describes which of the five groundfish management zones the section of the contour line is in.

  11. Mexico protected areas

    • hub.arcgis.com
    • data.globalforestwatch.org
    • +1more
    Updated Oct 3, 2016
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    Global Forest Watch (2016). Mexico protected areas [Dataset]. https://hub.arcgis.com/maps/gfw::mexico-protected-areas
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    Dataset updated
    Oct 3, 2016
    Dataset authored and provided by
    Global Forest Watchhttp://www.globalforestwatch.org/
    License

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

    Area covered
    Description

    This data set shows several different types of protected areas in Mexico. National protected areas are managed by CONANP, while state and municipal protected areas are managed by state and municipal agencies. Voluntary conservation areas are lands that private property owners have voluntarily certified as protected for a minimum of 15 years.

  12. w

    Bird Conservation Areas Map

    • data.wu.ac.at
    Updated Aug 7, 2018
    + more versions
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    NY Open Data (2018). Bird Conservation Areas Map [Dataset]. https://data.wu.ac.at/odso/data_ny_gov/MjdyNi13Mm12
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    Dataset updated
    Aug 7, 2018
    Dataset provided by
    NY Open Data
    Description

    This data set shows point locations of Bird Conservation Areas. Bird Conservation Areas are New York State lands that have been officially designated for their value to bird conservation. Points are approximate locations and may represent large areas. To drill down to a smaller geographic area, click directly on the area of the map or click the plus sign to zoom in on the map. For more information check out http://www.dec.ny.gov/animals/30935.html, or go to the "About" section.

  13. d

    Scope map of specific soil and water conservation areas in 42 districts in...

    • data.gov.tw
    壓縮檔
    Updated May 13, 2024
    + more versions
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    Ministry of Agriculture (2024). Scope map of specific soil and water conservation areas in 42 districts in 2012 [Dataset]. https://data.gov.tw/en/datasets/160928
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    壓縮檔Available download formats
    Dataset updated
    May 13, 2024
    Dataset authored and provided by
    Ministry of Agriculture
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Provides 112-year 42 district specific soil and water conservation area map shp download file, including OBJECTID (object code), CLASS (type), SWCB_Name (specific soil and water conservation area name), County01 (location of county and city 01), Town01 (location of township and town 01) ), Vill01 (Village 01), County02 (County and City 02), Town02 (Town 02), Vill02 (Village 02), TWD97_X (X coordinate), TWD97_Y (Y coordinate), Administrator (management agency code), P_DATE (delineation announcement date), P_HA (delineated area), DEBRISNO (landslide potential stream number), Potential (risk level), Length (stream length (km)), R_area (catchment area (ha)), Mapid01 (located in map number 01), Mapid02 (located in map number 02), Twpark (located in the national park), TWscenic (located in the national scenic area), Basin (located in the catchment area), Sub_basin (located in the sub-catchment area), Date ( Editing date), SWCB_Plan (name of specific soil and water conservation area), Shape_Leng (perimeter of specific soil and water conservation area), Shape_Area (area of specific soil and water conservation area) and other fields

  14. w

    Beni State Conservation Area vegetation map, 2013. VIS_Id 4353

    • data.wu.ac.at
    • data.nsw.gov.au
    • +2more
    pdf, zip
    Updated Sep 6, 2018
    + more versions
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    Office of Environment and Heritage (OEH) (2018). Beni State Conservation Area vegetation map, 2013. VIS_Id 4353 [Dataset]. https://data.wu.ac.at/schema/data_nsw_gov_au/MjVmMmRmYjAtMGEzZC00Nzc0LTk3MTAtNWZkNDY4N2VmOTlm
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    pdf, zipAvailable download formats
    Dataset updated
    Sep 6, 2018
    Dataset provided by
    Office of Environment and Heritage (OEH)
    License

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

    Area covered
    c76705c199fa9e2cc2859d214dd8111e85924b2b
    Description

    A compilation of the vegetation data stored in the source feature dataset. Each estate has best available veg mapping as determined by PaCs Botanist, with Keith Formations and fire thresholds added. Estate includes NPWS acquired lands. To recieve further updates contact individual NPWS Region STOs. All information is best available at time of production. Fields are Description: Vegetation type as described in feature class Code: code as described in feature class PCT: added where available (If ends in * more than one community may have been listed in report, only first community was added) NSW_Class: added where available (If ends in * more than one community may have been listed in report, only first community was added) NSW_Formation: added for all polygons FormationSourceID: links to FormationSourceLUT, oultines how formation was assigned and history of changes. Veg - long integer links Fire_Veg_Type_LUT which contains Min: minimum years btw burns Max: Maximum years between burns, Adv: 1= fire advantage and Regime Source. This code is dependent on region 1000-FWR 2000 - NPR 3000 -NTR 4000 - WRR, 9000 - Standardised classes Keith classes linking to regimes defined by Bradstock. Original_id: object id in source feature class source_id: Code relating to Vegetation sourceLUTdetailing origin of vegetation feature class, any changes made PWGRegion:domain with NPWG region PWGArea:domain with NPWG area EstateName: domain with NPWG estate name, also includes offpark Hectares - calculated useing calculate geometry, GDA94 z55 Last updated August 2013, Version 5. VIS_Id 4353

  15. g

    Conservation Areas - Rochdale Borough Council | gimi9.com

    • gimi9.com
    Updated Dec 17, 2024
    + more versions
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    (2024). Conservation Areas - Rochdale Borough Council | gimi9.com [Dataset]. https://www.gimi9.com/dataset/uk_conservation-areas-rochdale-borough-council/
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    Dataset updated
    Dec 17, 2024
    License

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

    Description

    The planning datasets below are provided under Open Government Licence. The information can also be viewed on the national map for planning data available at: https://www.planning.data.gov.uk/map. The Conservation Area Dataset contains links to the location of Conservation Area Maps and Appraisals on our website which provide additional information and context.

  16. f

    Strategic Habitat Conservation Areas FF

    • geodata.fnai.org
    • mapdirect-fdep.opendata.arcgis.com
    • +1more
    Updated May 22, 2024
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    Cossppgis (2024). Strategic Habitat Conservation Areas FF [Dataset]. https://geodata.fnai.org/maps/fcd63ac5dfd040138cc60ca62334a69e
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Cossppgis
    Area covered
    Description

    The 2009 SHCAs, developed by Florida Fish and Wildlife Conservation Commission (FWC), identify areas of habitat on private lands that are essential to sustain a minimum viable population for focal species of terrestrial vertebrates that are not adequately protected on existing conservation lands. In 2020, FNAI worked with FWC to update the SHCAs based on more recent habitat models developed by FWC since 2009, including the addition of potential habitat within existing conservation lands for all 62 focal species. The 2020 SHCAs include habitat data for 62 terrestrial vertebrate species and are prioritized into five priority classes based on rarity (FNAI State and Global ranks). For more information see the Conservation Needs Assessment Technical Report: https://www.fnai.org/conslands/florida-forever

  17. a

    Conservation Area

    • hub.arcgis.com
    • data.brla.gov
    • +4more
    Updated Aug 25, 2023
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    East Baton Rouge GIS Map Portal (2023). Conservation Area [Dataset]. https://hub.arcgis.com/datasets/ebrgis::conservation-area
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    Dataset updated
    Aug 25, 2023
    Dataset authored and provided by
    East Baton Rouge GIS Map Portal
    Area covered
    Description

    Polygon geometry with attributes displaying conservation areas as defined by the comprehensive plan, FUTUREBR, in East Baton Rouge Parish, Louisiana.Metadata

  18. a

    2011 Protected Open Space Mapping Set

    • hub.arcgis.com
    • geodata.ct.gov
    • +3more
    Updated Jan 15, 2019
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    Department of Energy & Environmental Protection (2019). 2011 Protected Open Space Mapping Set [Dataset]. https://hub.arcgis.com/maps/80c5e61b6e86423d9089350785e709a3
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    Dataset updated
    Jan 15, 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. 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.

  19. C

    30x30 Conserved Areas, Terrestrial (2024)

    • data.cnra.ca.gov
    • data.ca.gov
    • +2more
    Updated Sep 11, 2024
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    California Natural Resources Agency (2024). 30x30 Conserved Areas, Terrestrial (2024) [Dataset]. https://data.cnra.ca.gov/dataset/30x30-conserved-areas-terrestrial-2024
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    csv, geojson, kml, html, gdb, xlsx, zip, arcgis geoservices rest api, gpkg, txtAvailable download formats
    Dataset updated
    Sep 11, 2024
    Dataset provided by
    CA Nature Organization
    Authors
    California Natural Resources Agency
    License

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

    Description

    The Terrestrial 30x30 Conserved Areas map layer was developed by the CA Nature working group, providing a statewide perspective on areas managed for the protection or enhancement of biodiversity. Understanding the spatial distribution and extent of these durably protected and managed areas is a vital aspect of tracking and achieving the “30x30” goal of conserving 30% of California's lands and waters by 2030.

    Terrestrial and Freshwater Data
    • The California Protected Areas Database (CPAD), developed and managed by GreenInfo Network, is the most comprehensive collection of data on open space in California. CPAD data consists of Holdings, a single parcel or small group of parcels, such that the spatial features of CPAD correspond to ownership boundaries.

    The California Conservation Easement Database (CCED), managed by GreenInfo Network, aggregates data on lands with easements. Conservation Easements are legally recorded interests in land in which a landholder sells or relinquishes certain development rights to their land in perpetuity. Easements are often used to ensure that lands remain as open space, either as working farm or ranch lands, or areas for biodiversity protection. Easement restrictions typically remain with the land through changes in ownership.

    The Protected Areas Database of the United States (PAD-US), hosted by the United States Geological Survey (USGS), is developed in coordination with multiple federal, state, and non-governmental organization (NGO) partners. PAD-US, through the Gap Analysis Project (GAP), uses a numerical coding system in which GAP codes 1 and 2 correspond to management strategies with explicit emphasis on protection and enhancement of biodiversity. PAD-US is not specifically aligned to parcel boundaries and as such, boundaries represented within it may not align with other data sources.

    Numerous datasets representing designated boundaries for entities such as National Parks and Monuments, Wild and Scenic Rivers, Wilderness Areas, and others, were downloaded from publicly available sources, typically hosted by the managing agency.

    Methodology
    1. CPAD and CCED represent the most accurate location and ownership information for parcels in California which contribute to the preservation of open space and cultural and biological resources.

    2. Superunits are collections of parcels (Holdings) within CPAD which share a name, manager, and access policy. Most Superunits are also managed with a generally consistent strategy for biodiversity conservation. Examples of Superunits include Yosemite National Park, Giant Sequoia National Monument, and Anza-Borrego Desert State Park.

    3. Some Superunits, such as those owned and managed by the Bureau of Land Management, U.S. Forest Service, or National Park Service , are intersected by one or more designations, each of which may have a distinct management emphasis with regards to biodiversity. Examples of such designations are Wilderness Areas, Wild and Scenic Rivers, or National Monuments.

    4. CPAD Superunits and CCED easements were intersected with all designation boundary files to create the operative spatial units for conservation analysis, henceforth 'Conservation Units,' which make up the Terrestrial 30x30 Conserved Areas map layer. Each easement was functionally considered to be a Superunit.

    5. Each Conservation Unit was intersected with the PAD-US dataset in order to determine the management emphasis with respect to biodiversity, i.e., the GAP code. Because PAD-US is national in scope and not specifically parcel aligned with California assessors' surveys, a direct spatial extraction of GAP codes from PAD-US would leave tens of thousands of GAP code data slivers within the 30x30 Conserved Areas map. Consequently, a generalizing approach was adopted, such that any Conservation Unit with greater than 80% areal overlap with a single GAP code was uniformly assigned that code. Additionally, the total area of GAP codes 1 and 2 were summed for the remaining uncoded Conservation Units. If this sum was greater than 80% of the unit area, the Conservation Unit was coded as GAP 2.

    6. Subsequent to this stage of analysis, certain Conservation Units remained uncoded, either due to the lack of a single GAP code (or combined GAP codes 1&2) overlapping 80% of the area, or because the area was not sufficiently represented in the PAD-US dataset.

    7. These uncoded Conservation Units were then broken down into their constituent, finer resolution Holdings, which were then analyzed according to the above workflow.

    8. Areas remaining uncoded following the two-step process of coding at the Superunit and then Holding levels were assigned a GAP code of 4. This is consistent with the definition of GAP Code 4: areas unknown to have a biodiversity management focus.

    9. Greater than 90% of all areas in the Terrestrial 30x30 Conserved Areas map layer were GAP coded at the level of CPAD Superunits intersected by designation boundaries, the coarsest land units of analysis. By adopting these coarser analytical units, the Terrestrial 30X30 Conserved Areas map layer avoids hundreds of thousands of spatial slivers that result from intersecting designations with smaller, more numerous parcel records. In most cases, individual parcels reflect the management scenario and GAP status of the umbrella Superunit and other spatially coincident designations.

    Tracking Conserved Areas
    The total acreage of conserved areas will increase as California works towards its 30x30 goal. Some changes will be due to shifts in legal protection designations or management status of specific lands and waters. However, shifts may also result from new data representing improvements in our understanding of existing biodiversity conservation efforts. The California Nature Project is expected to generate a great deal of excitement regarding the state's trajectory towards achieving the 30x30 goal. We also expect it to spark discussion about how to shape that trajectory, and how to strategize and optimize outcomes. We encourage landowners, managers, and stakeholders to investigate how their lands are represented in the Terrestrial 30X30 Conserved Areas Map Layer. This can be accomplished by using the Conserved Areas Explorer web application, developed by the CA Nature working group. Users can zoom into the locations they understand best and share their expertise with us to improve the data representing the status of conservation efforts at these sites. The Conserved Areas Explorer presents a tremendous opportunity to strengthen our existing data infrastructure and the channels of communication between land stewards and data curators, encouraging the transfer of knowledge and improving the quality of data.

    CPAD, CCED, and PAD-US are built from the ground up. Data is derived from available parcel information and submissions from those who own and manage the land. So better data starts with you. Do boundary lines require updating? Is the GAP code inconsistent with a Holding’s conservation status? If land under your care can be better represented in the Terrestrial 30X30 Conserved Areas map layer, please use this link to initiate a review. The results of these reviews will inform updates to the California Protected Areas Database, California Conservation Easement Database, and PAD-US as appropriate for incorporation into future updates to CA Nature and tracking progress to 30x30.


  20. g

    BLM UT National Monuments and National Conservation Areas

    • gimi9.com
    • s.cnmilf.com
    • +2more
    + more versions
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    BLM UT National Monuments and National Conservation Areas [Dataset]. https://gimi9.com/dataset/data-gov_blm-ut-national-monuments-and-national-conservation-areas
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    License

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

    Description

    The layers within this feature service represent the spatial extent of the BLM National Conservation Lands (NCL) National Monuments, National Conservation Areas and Similar Designations in Utah. Features included in this data set have been designated under either Public Law or Presidental Proclamation. National Monuments included are: Bears Ears (Proclamation 10285) Grand Staircase - Escalante (Proclamation 10286) Jurassic (Public Law 116-9, Sec.1252) National Conservation Areas included are: Beaver Dam Wash (Public Law 111-11, Sec. 1975) John Wesley Powell (Public Law 116-9, Sec. 1118) Red Cliffs (Public Law 111-11, Sec. 1974) Data within these services are a live copy of BLM Utah's enterprise production environment. Quality control is conducted annually.Complete metadata for these data sets can be found at:BLM UT National Monuments and National Conservation Areas (Arc)BLM UT National Monuments and National Conservation Areas (Polygon)

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California Department of Fish and Wildlife (2024). Rockfish Conservation Area Waypoints - R7 - CDFW [ds3145] [Dataset]. https://catalog.data.gov/dataset/rockfish-conservation-area-waypoints-r7-cdfw-ds3145-7259a
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Rockfish Conservation Area Waypoints - R7 - CDFW [ds3145]

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Dataset updated
Nov 27, 2024
Dataset provided by
California Department of Fish and Wildlifehttps://wildlife.ca.gov/
Description

Rockfish Conservation Areas (RCAs) are closed areas for west coast groundfish fisheries and for some fisheries that may incidentally take groundfish as bycatch. The RCA boundary line is a connection of a series of GPS coordinates published in federal regulations (See 50 CFR 660.71-660.74) that are intended to approximate underwater depth contours. RCA boundaries are used in groundfish regulations to avoid interactions with certain groundfish species of concern and may change between seasons and Recreational Fishing Management Areas. Attributes:area_name: Unique name field identifying depth and location of waypoint.Fathom: Approximate depth in fathoms of waypoint.Region: Describes which of the five groundfish management zones the waypoint is in.lat_DDM: Latitude in Decimal Degrees Minutes format.lon_DDM: Longitude in Decimal Degrees Minutes format.lat_DD: Latitude in Decimal Degrees format.lon_DD: Longitude in Decimal Degrees format.

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