The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. This file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.

The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs are based on those delineated or updated as part of the the 2023 BAS or the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

Excellent world shapefile maps with national boundaries, first order admin (provinces, states, etc.), disputed areas, coastlines, populated areas and more at various scale levels.

World Countries (Generalized) is a generalized layer of country level boundaries which can be used at small to medium scales (e.g. down to 1:2m scale). The boundaries have been generalized to support faster rendering at small scales. Included are attributes for name and ISO codes, along with country affiliation information.

Complete Topographic dataset in shapefile format. Consume this dataset if you wish to download the entire Topographic dataset at once.

This dataset represents a compilation of data from various government agencies throughout the City of New York. The underlying geography is derived from the Tax Lot Polygon feature class that is part of the Department of Finance's Digital Tax Map (DTM). The tax lots have been clipped to the shoreline, as defined by NYCMap planimetric features. The attribute information is from the Department of City Planning's PLUTO data. The attribute data pertains to tax lot and building characteristics and geographic, political and administrative information for each tax lot in New York City.The Tax Lot Polygon feature class and PLUTO are derived from different sources. As a result, some PLUTO records do not have a corresponding tax lot in the Tax Lot polygon feature class at the time of release. These records are included in a separate non-geographic PLUTO Only table. There are a number of reasons why there can be a tax lot in PLUTO that does not match the DTM; the most common reason is that the various source files are maintained by different departments and divisions with varying update cycles and criteria for adding and removing records. The attribute definitions for the PLUTO Only table are the same as those for MapPLUTO. DCP Mapping Lots includes some features that are not on the tax maps. They have been added by DCP for cartographic purposes. They include street center 'malls', traffic islands and some built streets through parks. These features have very few associated attributes.To report problems, please open a GitHub issue or email DCPOpendata@planning.nyc.gov.DATES OF INPUT DATASETS:Department of City Planning - E-Designations: 2/5/2021Department of City Planning - Zoning Map Index: 7/31/2019Department of City Planning - NYC City Owned and Leased Properties: 11/15/2020Department of City Planning - NYC GIS Zoning Features: 2/5/2021Department of City Planning - Polictical and Administrative Districts: 11/17/2020Department of City Planning - Geosupport version 20D: 11/17/2020Department of Finance - Digital Tax Map: 1/30/2021Department of Finance - Mass Appraisal System (CAMA): 2/10/2021Department of Finance - Property Tax System (PTS): 2/6/2021Landmarks Preservation Commission - Historic Districts: 2/4/2021Landmarks Preservation Commission - Individual Landmarks: 2/4/2021Department of Information Telecommunications & Technology - Building Footprints: 2/10/2021Department of Parks and Recreation - GreenThumb Garden Info: 1/4/2021

The center's "Numerical data files of the constructed version of topographic maps (scales are 1/25,000, 1/50,000 and 1/100,000)" were previously reviewed at the 2nd meeting of the 105th Executive Yuan Information Openness Advisory Group is classified as Category A data, and was revised and published in Appendix 2 of Schedule 2 of Article 2 of the Charging Standards for Land Surveying and Mapping Results Data issued by the Ministry of Interior Taiwan Mainland Chinese Order No. 1051306149 on July 26, 2015. The open data is available for free downloading.

The center's "Numerical data files of the constructed version of topographic maps (scales are 1/25,000, 1/50,000, and 1/100,000)" were previously reviewed at the 2nd meeting of the 105th Executive Yuan Information Openness Advisory Group is classified as Category A data, and was revised and published in Appendix 2 of Schedule 2 of Article 2 of the Charging Standards for Land Surveying and Mapping Results Data issued by the Ministry of Interior Taiwan Mainland China Order No. 1051306149 on July 26, 2015. The open data is available for free downloading. Note: The numerical data file of the constructed version of the topographic map does not include the contour layer.

A Shape file of Nigeria detailing boundaries of Local Government Areas and communities.

This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

1-foot contours derived from the 2019 LiDAR collection. Shapefiles are indexed and require the shapefile index file. Although this is a county-wide zip file, contours are broken up into smaller areas based on the included index. It is recommended to download this dataset if you only need contours for a small area within the County.

The Economic Development Version Topographic Map Digital Data File (with a scale of 1:25,000, 1:50,000, and 1:100,000) of this center was classified as Class A data by the Second Meeting of the 105 Administrative Office Open Data Consultation Group and released for free download and use by the Ministry of the Interior on July 26, 2016, according to the Order No. 1051306149. Note: The Economic Development Version Topographic Map Digital Data File does not include contour line layers.

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

Shapefiles for each conttinent, subset of publicly available shapefile from ESRI.

The 2020 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the urban footprint. There are 2,644 Urban Areas (UAs) in this data release with either a minimum population of 5,000 or a housing unit count of 2,000 units. Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. This file includes revisions made to the 2020 Census New Orleans, LA Urban Area where the territory originally delineated as the 2020 Census Laplace--Lutcher--Gramercy, LA Urban Area was combined with the 2020 Census New Orleans, LA Urban Area to form the current New Orleans, LA Urban Area. This file includes revisions made to the 2020 Census Atlanta, GA Urban Area and Gainesville, GA Urban Area, where some urban territory originally designated to the Gainesville, GA Urban Area was reassigned to the Atlanta, GA Urban Area.

The Taipei City shared pipeline map data is in shape file format and compressed into a zip file. The contents of the zip file include four types of SHP files: main pipes, branch pipes, cable trenches, and cable routes. The coordinate system used for this data is TWD97.

New political and administrative boundaries Shapefile of Nepal. Downloaded and republished from the Survey Department website.

Indigenous Peoples of the Arctic boundary polygons Greg Fiske at Woodwell Climate Research Center (gfiske@woodwellclimate.org) April 2021 Created for Figure 1.1 in Chapter 1: Introduction: Building Common Interests with Informed Decisionmaking for Sustainability (Paul Arthur Berkman, Oran R. Young, Alexander N. Vylegzhanin, David A. Balton and Ole Øvretveit). IN: Berkman, P.A., Young, O.R., Vylegzhanin, A.N., Balton, D.A. and Øvretveit, O. (eds.). 2022. Building Common Interests in the Arctic Ocean with Global Inclusion. Volume 2. Informed Decisionmaking for Sustainability. Original data created by GRID Arendal, shared by Levi Westerveld (levi.westerveld@grida.no). Updates applied by gereferencing the map at this location: https://www.grida.no/resources/13341 based on advice by Westerveld. Additional spatial edits to each shapefile were based on conversation with Anna Degteva (anna.d.ips@arctic-council.org) at the Arctic Council Indigenous Peoples' Secretariat (https://www.arcticpeoples.com/) who personally requested updates from the six Indigenous Peoples’ Organizations. All but Russian Association of Indigenous Peoples Organization of the North (RAIPON) responded with map edit requests that were incorporated into the shape files that are herein submitted for open access. The edit requests came in the format of hand drawn polygons on top of existing jpg images and/or lists of placenames that should (or should not) be included in each boundary file. Lastly, additional resource maps were shared by Lars Kellerud at GRID Aredal. All efforts were made to accommodate comments and resources provided while editing these layers. These shapefiles were updated with support from the United States National Science Foundation (NSF) through the Arctic/Pan-Arctic Options projects (Award Nos. NSF-OPP 1263819, NSF-ICER 1660449, NSF-ICER 2103490).

Shape Files and TIFF Images on Cameroon's administrative regions

The Digital Geologic Units of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina consists of geologic units mapped as area (polygon) features. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). The data were captured, grouped and attributed as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1. (available at: https://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The data layer is available as a feature class in a 9.1 personal geodatabase (grsm_geology.mdb). Attributed geologic contact lines that define the geologic unit polygons are present within the Geologic Contacts (GRSMGLGA) data layer. The Geologic Units (GRSMGLG) GIS data layer is also available as a coverage export (.E00) file (GRSMGLG.E00), and as a shapefile (.SHP) file (GRSMGLG.SHP). Each GIS data format has an ArcGIS 9.1 layer (.LYR) file (GRSMGLG_GDB.LYR (geodatabase feature class), GRSMGLG_COV.LYR (coverage), GRSMGLG_SHP.LYR (shapefile) with map symbology that is included with the GIS data. See the Distribution Information section for additional information on data acquisition. The GIS data projection is NAD83, UTM Zone 17N. That data is within the area of interest of Great Smoky Mountains National Park. This dataset is just one component of the Digital Geologic Map of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina. The data layers (feature classes) that comprise the Digital Geologic Map of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina include: GRSMAML (Alteration and Metamorphic Lines), GRSMATD (Geologic Attitude and Observation Points), GRSMFLD (Folds), GRSMFLT (Faults), GRSMGLG (Geologic Units), GRSMGLGA (Geologic Contacts), GRSMGPT (Point Geologic Features), GRSMGSL (Geologic Sample Localities), GRSMMIN (Mine Point Features), GRSMSEC (Cross Section Lines), GRSMSUR (Surficial Geologic Units), GRSMSURA (Surficial Contacts) and GRSMSYM (Fault Symbology). There are three additional ancillary map components, the Geologic Unit Information (GRSMGLG1) Table, the Source Map Information (GRSMMAP) Table and the Map Help File (GRSM_GEOLOGY.HLP). Refer to the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1 (available at: https://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm) for detailed data layer (feature class) and table specifications including attribute field parameters, definitions and domains, and implemented topology rules and relationship classes.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park Geology.

Files include data for bike lanes, protected bike lanes, trails, bike routes, shared lane markings, cautionary bike routes, and bridge data from the BikePGH Pittsburgh Bike Map. BikePGH developed this map in 2007 and has been publishing it both on paper and online ever since. See: http://bikepgh.org/maps for more info.