This data set contains vector polygons depicting anchorages; vector points depicting access, boat ramp, lock and dam, marine, port, and river mile locations; and vector lines depicting locations of shipping lanes in South Carolina. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the South Carolina ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

This data set contains vector polygons depicting renewable energy sites; vector points representing locations of abandoned vessels, airports, beaches, EPA facilities, heliports, historical sites, NOAA facilities, renewable energy sites, wash overs and waste disposal sites; and vector lines showing locations of rail routes in South Carolina. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the South Carolina ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

This data set contains vector polygon data for anchorages; vector lines representing shipping lanes; and vector points showing locations of boat ramps, ferries, lock and dam systems, marinas, mooring sites, and ports in Chesapeake Bay and the Outer Coasts of Maryland and Virginia. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points, Lines; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth you can make a variety of visually pleasing, well-crafted maps with cartography or GIS software.

Natural Earth was built through a collaboration of many volunteers and is supported by NACIS (North American Cartographic Information Society).

Natural Earth Vector comes in ESRI shapefile format, the de facto standard for vector geodata. Character encoding is Windows-1252.

Natural Earth Vector includes features corresponding to the following:

Cultural Vector Data Thremes:

• Countries: matched boundary lines and polygons with names attributes for countries and sovereign states. Includes dependencies (French Polynesia), map units (U.S. Pacific Island Territories) and sub-national map subunits (Corsica versus mainland Metropolitan France).
• Disputed areas and breakaway regions - From Kashmir to the Elemi Triangle, Northern Cyprus to Western Sahara.
• First order admin (provinces, departments, states, etc.): internal boundaries and polygons for all but a few tiny island nations. Includes names attributes and some statistical groupings of the same for smaller countries.
• Populated places: point symbols with name attributes. Includes capitals, major cities and towns, plus significant smaller towns in sparsely inhabited regions. We favor regional significance over population census in determining rankings.
• Urban polygons: derived from 2002-2003 MODIS satellite data.
• Parks and protected areas: US National Park Service units.
• Pacific nation groupings: boxes for keeping these far-flung islands tidy.
• Water boundary indicators: partial selection of key 200-mile nautical limits, plus some disputed, treaty, and median lines.

Physical Vector Data Themes:

• Coastline: ocean coastline, including major islands. Coastline is matched to land and water polygons.
• Land: Land polygons including major islands
• Ocean: Ocean polygon split into contiguous pieces.
• Minor Islands: additional small ocean islands ranked to two levels of relative importance.
• Reefs: major coral reefs from WDB2.
• Physical region features: polygon and point labels of major physical features.
• Rivers and Lake Centerlines: ranked by relative importance. Includes name and line width attributes. Don’t want minor lakes? Turn on their centerlines to avoid unseemly data gaps.
• Lakes: ranked by relative importance, coordinating with river ranking. Includes name attributes.
• Glaciated areas: polygons derived from DCW, except for Antarctica derived from MOA. Includes name attributes for major polar glaciers.
• Antarctic ice shelves: derived from 2003-2004 MOA. Reflects recent ice shelf collapses.
• Bathymetry: nested polygons at 0, -200, -1,000, -2,000, -3,000, -4,000, -5,000, -6,000, -7,000, -8,000, -9,000,and -10,000 meters. Created from SRTM Plus.
• Geographic lines: Polar circles, tropical circles, equator, and International Date Line.
• Graticules: 1-, 5-, 10-, 15-, 20-, and 30-degree increments. Includes WGS84 bounding box.

This dataset is a compilation of tax parcel information for Dakota County, MNThe layer contains one record for each real estate/tax parcel polygon within the county. Condominiums are not included in the polygon layer. If condominiums are desired, use the tax parcel point layer in combination with this polygon layer.In many places a one-to-one relationship does not exist between these parcel polygons and the actual buildings or occupancy units that lie within them. There may be many buildings on one parcel and there may be many occupancy units (e.g. apartments, stores or offices) within each building. Additionally, no information exists within this dataset about residents of parcels. Currently, only tax parcel ownership (and taxpayer information) is displayed for this dataset.
Tax Parcel - Polygons
Tax Parcel - Points
Tax Parcel - Lines

A Research Polygon is a feature representing a geographic area (polygon), where some form of research observation, test, trial, measure, or monitoring activity has, or will take place. The mapped features in this layer can be derived existing feature geometry (e.g. plantation), or as generated feature geometry (e.g., 11.28 meter diameter circular plot around a centre post). This layer will also store research areas which represent formalized groupings where research occurs. There will be significant overlaps between features in this layer. This data class is one of three primitive data classes: Research Point (RESPOINT), Research Line (RESLINE), and Research Polygon (RESPOLY).

Additional DocumentationResearch Polygon - Data Description (PDF)Research Polygon - Documentation (Word) Research Plot - User Guide (Word) Research Plot - FAQ (Word)

Status

On going: data is being continually updated

Maintenance and Update Frequency

As needed: data is updated as deemed necessary

Contact

Adam Hogg, adam.hogg@ontario.ca

The data referenced here is licensed under the Ontario Geospatial Data Exchange (OGDE) Agreement and is available to members of the OGDE for professional, non-commercial use only. To find out more about the OGDE visit Land Information Ontario on Ontario.ca.

This data set contains vector polygons representing boundaries of historical sites and renewable energy sites; vector lines showing railway routes; and vector points showing locations of abandoned vessels, airports, beaches, EPA facilities, heliports, historical sites, renewable energy sites, wash overs, and waste disposal sites, in Georgia. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

These feature classes reside within the SOCECON Feature Data Set of the Long Island Sound 2016 ESI Geodatabase. They contain vector points, lines, and polygons representing Navigation / Marine human-use resource data for Long Island Sound and adjacent lands and waters. The study area includes Long Island Sound, Peconic Bay, tributary watersheds, tidal tributaries, and freshwater streams and lakes, in New York and Connecticut.

Navigation/Marine features represented as points include Access Sites (A2), Boat Ramps (BR), Ferry Terminals (F), Lock and Dam (LD), Marinas (M), and Ports (P). Features represented as lines include Ferry Routes (FR), and State Boundaries (ST). Features represented as polygons include Anchorages (AN).

Each ArcGIS each feature class (NAVIGATION/MARINE POINTS, NAVIGATION/MARINE LINES, NAVIGATION/MARINE POLYS) has an attribute table, considered as an Entity or "Child Item" in this metadata record. Location-specific Type and Source information are stored in these related data tables, SOC_DAT and SOURCES (described below), which are stand-alone tables within the Geodatabase.

This data set is a portion of the ESI data for Long Island Sound. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Additional human-use information is provided in other feature class themes within the SOCECON Feature Data Set, including SOCECON (POINTS and LINES), PARKS/MANAGED AREA (POINTS and POLYGONS), POLITICAL/JURISDICTIONAL (POINTS and POLYGONS), RESOURCE MANAGEMENT (POINTS and POLYGONS), and NAT_HAZARD (POLYGONS).

This data set contains vector polygons depicting locations of historical sites; vector lines representing pipeline, road, and rail route features; and vector points representing airports, archaeological sites, abandoned vessels, beaches, bridges, campgrounds, EPA Risk Management Plan (RMP) facilities, historical sites, landfills, oil facilities, renewable energy sites, and surfing in the New York/New Jersey Metro Area, Hudson River, and South Long Island regions. Polygons in the SOCECON feature data set may overlap where an area is associated with more than one agency or feature type. As an example, multiple parks may fall within a county boundary, which may itself fall within a larger polygon depicting the jurisdiction of an Army Corps of Engineers region. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the NY/NJ Metro Area, Hudson River, and South Long Island Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

These feature classes reside within the BIOLOGY Feature Data Set of the Great Lakes - Straits of Mackinac - 2019 ESI Geodatabase. It contains vector polygons, lines, and points representing FISH data for the Great Lakes - Straits of Mackinac area of interest.

The study area includes the Straits of Mackinac, nearby portions of Lake Michigan and Lake Huron, and adjacent lands and waters in n...

This data set contains vector polygons representing boundaries of anchorages; vector lines showing shipping lanes; and vector points representing beach access points, boat ramps, marinas, ports, and river miles, in Georgia. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

Download .zipThis is a statewide digital version of the Hydrography layer of the published USGS 1:24OOO-scale topographic map series. It was created from DLG files of each scanned 7.5-minute quad map, using custom ARC/INFO software routines which did the following steps: convert from DLG format to coverage format project from UTM to StatePlane map projection rubbersheet map sheet corners to exact computed quad-corner coordinates run semi-automated Edgematching procedure which joins hydrography lines along the quad edges, using distance-offset (maximum of 100 feet) and attribute-match criteria to determine which lines to join. merge the individual quad coverages and dissolve the quad-edge lines Processing was done using Double Precision coordinates and math, with processing tolerance (Fuzzy) of 1 foot.

In the Database/Dataset Section the items CMAJOR and CMINOR represent coded pairs and are documented together. Up to five pairs in the pat and four pairs in the aat may be present. These will be appear in the tables as CMAJOR1 CMINOR1 CMAJOR2 CMINOR2, etc.

The layer has been provided in both shape file and coverage format. In the case of the shape file separate shape files are provided for point, line, and polygon data. In the coverage format the line and polygon data is combined in one coverage. The shape files will be the choice of most users due to speed of drawing issues. Those users desiring to manipulate the original data may want to use the coverage format. All shapefiles have been combined for simplicities sake into one self extracting zip file which expands to about 500 megabytes. However, the value listed in the file size parameter of the metadata represents only the size of the particular shapefile being documented. Also it should be noted that the coverages contain redefined items which of necessity had to be split into separate items or omitted in the shape files because this option isn't available in shapefiles.

This layer documentation is for the Shapefile which includes line features.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

“Aggregates” is the term geologists use to describe rocks used for building and construction purposes. Aggregate Potential Mapping aims to identify areas where aggregate is most likely to be found.It is a vector dataset. Vector data portray the world using points, lines, and polygons (areas). The data is shown as points and polygonsPlease read the metadata lineage for each layer for further information.

This data set contains sensitive biological resource data for seagrass, coral reef, hard-bottom communities, and deep-sea coral for East Florida. Vector polygons in this data set represent seagrass, coral, and hard-bottom community distribution. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Florida. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. Environmental Sensitivity Index (ESI) is more properly known as 'Sensitivity of Coastal Habitats and Wildlife to Spilled Oil' Atlases. The term 'ESI' is often used in reference to the whole dataset, but the term 'ESI' is really a reference to the classification system of shoreline types known as Environmental Sensitivity Index, that classifies a shoreline on a scale from 1 to 10 based upon overall sensitivity to spilled oil. FWRI contracted out updates for the East Florida ESI area of interest, with the exception of Human Use data, in 2019. These datasets were delivered as feature classes in overlapping-polygon format following the NOAA ESI Data Standard. The East Florida ESI data format is consistent with the previously delivered ESI data.

Geodetic Control. The dataset contains points representing planimetric geodetic control, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 2015 and updated in 2017 and 2019. The following planimetric layers were updated: - Airport Runway and Taxiway- Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Recreational Areas- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water Polygons

This data set contains vector polygons for locations of historical sites; vector lines or locations of natural gas and intrastate pipelines, bridges, rail routes, and tunnels; and vector points depicting airports, abandoned vessels, beaches, EPA facilities, heliports, historical sites, NOAA facilities, waste disposal, and wash over sites in Chesapeake Bay and the Outer Coasts of Maryland and Virginia. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The entirety of the ESI Human-Use data layers consists of: PARKS-MANAGED AREAS Polygons, Points; NAVIGATION-MARINE Polygons, Points, Lines; POLITICAL-JURISDICTIONAL Polygons, Points, Lines; RESOURCE MANAGEMENT Polygons, Points; SOCECON Polygons, Points, Lines; and NATURAL HAZARD Polygons.

Geodetic Control. The dataset contains points representing planimetric geodetic control, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 2015 and updated in 2017. The following planimetric layers were updated: - Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Recreational Areas- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water Polygons

Bond 2012 Point, Line, and Polygon Shapefiles. Published by Public Works.

This dataset describes the areas of research activities for the 38 National Environmental Research Program Tropical Ecosystem (NERP TE) Hub projects. It represents the areas that have field work being conducted, where measurements have been taken and where modelling or analysis is being done.

It consists of three master shapefiles (points, lines and polygons) that capture the regions that are being studied by all these projects. These master shapefiles are also made available split by project.

The data contained in this dataset was compiled from June 2013 submissions from each of the NERP TE projects asking them to describe their areas being researched. They submitted this information in a range of formats including spreadsheet tables for site information (points) and bounding boxes, KMLs for study areas, transects and animal tracks (lines and polygons), raster files and for some simply a description of the region. All of these formats were converted, digitised or drawn into three shapefiles: one for points, one for polygons and one for lines. Each feature was given a description of the type of research or measurement that was being under taken at that location and a link to the associated project pages. Features were also classified to roughly group the type of research work being done at each location.

This data was originally intended to be part of the creation of detailed spatial data for the creation of metadata records describing each of the projects. It was also used for creating maps for each project. These maps are available for download and are available as WMS layers from the eAtlas.

The polygon features from the various projects overlap significantly and thus many boundaries are hidden with default styling. The order of the features within the shapefile has been chosen so that at least some part of each polygon is visible when all polygons are shown.

This dataset is not a complete representation of the work being done by the NERP TE projects as it was collected only 2 years into a 3.5 year program. In addition to this some project have chosen to protect the exact location of sensitive sites and so have only provided coarse spatial information about the project.

This dataset will be updated periodically as more NERP TE data becomes available.

These feature classes reside within the SOCECON Feature Data Set of the Great Lakes St. Lawrence River - 2021 ESI Geodatabase. They contain vector polygons, lines, and points representing Socioeconomic human-use resource data for the Great Lakes St. Lawrence River System and adjacent lands and waters. The study area includes the St. Lawrence River from the headwaters of Lake Ontario, northeast to the western portion of L'Ile-Saint-Regis Island (CA). These data sets contain information about the following resources: airports, abandoned vessels, beaches, heliports, historical sites, and major crude oil pipelines in the St. Lawrence River. Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. This data set is a portion of the ESI data for Great Lakes St. Lawrence River System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.