A current, accurate spatial representation of all historic properties listed on the National Register of Historic Places is of interest to Federal agencies, the National Park Service, State Historic and Tribal Historic Preservation Offices, local government and certified local governments, consultants, academia, and the interested public. This interest stems from the regulatory processes of managing cultural resources that are consistent with the National Historic Preservation Act as Amended (NHPA), the National Environmental Policy Act as Amended, the Archaeological Resources Protection Act, and other laws related to cultural resources. The regulations promulgating these laws require the use of spatial data in support of various decisions and actions related to cultural resource management. Collectively, the National Register geo-spatial dataset is intended to be a comprehensive inventory of all cultural resources that are listed on the National Register of Historic Places.

National Register of Historic Places - PolygonsThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the National Park Service, displays the National Register of Historic Places. Per NPS, "The National Register of Historic Places is the official list of the Nation's historic places worthy of preservation. Authorized by the National Historic Preservation Act of 1966, the National Park Service's National Register of Historic Places is part of a national program to coordinate and support public and private efforts to identify, evaluate, and protect America's historic and archeological resources."Mill Hill Historic DistrictData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (National Register of Historic Places Polygons (ID: 1)) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 36 (National Register of Historic Places)OGC API Features Link: National Register of Historic Places - PolygonsFor more information, please visit: National Register of Historic PlacesFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Theme CommunityThis data set is part of the NGDA Cultural Resources Theme Community. Per the Federal Geospatial Data Committee (FGDC), Cultural Resources are defined as "features and characteristics of a collection of places of significance in history, architecture, engineering, or society. Includes National Monuments and Icons."For other NGDA Content: Esri Federal Datasets

This polygon layer contains buildings, sites, structures, objects, and districts that have been placed on the National Register of Historic Places in recognition of their importance to American history, culture, or archaeology. National Register designation means that changes to these places must be reviewed if federal or state funds, permits, or licenses are used.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription St_Num type: Stringwidth: 15precision: 0 Street address number

Street type: Stringwidth: 50precision: 0 Street name

NRIND type: Stringwidth: 5precision: 0 Individual property, building, or structure listed ("Y"=listed on the National Register)

Pres_Restr type: Stringwidth: 5precision: 0 Property protected by a preservation restriction ("Y"=protected)

NRDIS type: Stringwidth: 5precision: 0 National Register historic district ("Y"=district)

HistName type: Stringwidth: 75precision: 0 Historic name of protected site; last names first

AKA type: Stringwidth: 60precision: 0 Alternate name

Location type: Stringwidth: 100precision: 0 Full street address or description of location

LabelName type: Stringwidth: 100precision: 0 Name of site formatted for map labels; first names first

NHL type: Stringwidth: 5precision: 0 National Historic Landmark ("Y"=Landmark)

DOE type: Stringwidth: 5precision: 0 Property has a Determination of Eligibility to be listed on the National Register ("Y"=Eligible)

Shape_Leng type: Doublewidth: 8precision: 38 Length of feature in internal units.

EditDate type: Stringwidth: 4precision: 0

This dataset contains polygon locations of sites in Indiana that have been included in the National Register of Historic Place. It includes buildings, districts, sites, cemeteries, bridges, structures and objects. It is not complete, may be inaccurate, and may be modified as new information is prepared. The absence of information in a particular location does not necessarily indicate that no such resources exist in said location.

An ArcGIS OnLine map of National Historic Districts and National Historic Sites. Districts that are listed on the National Register of Historic Places (National Historic designation) and the Virginia Landmarks Register (State designation). Districts may logically carry either both designations or the State designation alone. Both of these programs are administered by the Virginia Department of Historic Resources in conjunction with the City of Richmond Bureau of Housing and Neighborhood Preservation. Properties that fall within these districts may be entitled to various development incentives. Note that some districts overlap.

Sites and districts in Indiana as registered in the National Registry of Historic Places. -- READ-ONLY

This public map service contains points and polygons representing information from the Massachusetts Cultural Resource Information System (MACRIS) database and related records on file at the Massachusetts Historical Commission (MHC), including the Inventory of Historic Assets of the Commonwealth, National Register of Historic Places nomination forms, local historic district study reports, local landmark reports, and other materials. The MACRIS database and the layers within the MACRIS Maps web application are updated regularly as new information is submitted and added, and as the accuracy of earlier versions of the datalayer is improved. Three datalayers are being made available to the public: The Inventory Points layer contains the locations of buildings, burial grounds, structures, and objects (e.g. statues, monuments, walls). The points layer is symbolized to indicate the most common historic designation types: 1) National Register of Historic Places, 2) local historic district, 3) both National Register and local historic district, 4) Preservation Restriction, 5) Massachusetts Historic Landmark (MA/HL) and 6) inventoried but not designated with one of the previous designations. Less common designations are not symbolized in MACRIS, but are included in the Designations attribute field.The Inventory Areas polygon layer includes areas and districts symbolized in MACRIS in a similar manner to Inventory Points. Another polygon layer, Towns, possesses a binary “y” or blank field to indicate whether a town has a survey pending digitization. Please note that new and updated information is added to MHC files daily, and that there may be considerable lag time before this information is reflected in MACRIS or in MACRIS Maps. Map information for “completed” towns may not reflect the most current information on file with MHC. For additional information, users may consult the source records, forms and maps that make up the official Inventory of Historic and Archaeological Assets of the Commonwealth, on file at the MHC, Massachusetts Archives Building, 220 Morrissey Boulevard, Boston, during weekday business hours. No appointment is needed. For directions, see https://www.sec.state.ma.us/mhc/.See the metadata for more details.

Historic Sites and National Register of Historic Places dataset current as of 1995. Historic districts and properties listed on the national register of historic places. Property line polygons were mannually transferred to paper quad maps and digitized from tablets 1995 updates with on-screen digitizing over RIGIS.

The National Register is a program of the U. S. Department of the Interior, National Park Service, and is administered at the State level by the Maryland Historical Trust. The National Register of Historic Places is the United States federal government's official list of districts, sites, buildings, structures, and objects deemed worthy of preservation for their historical significance or "great artistic value". For more information, contact: Historic Preservation Montgomery County Planning Department, MNCPPC T: 301-650-3400

The National Register of Historic Places recognizes districts, buildings, structures, objects, and sites for their significance in American history, archeology, architecture, engineering, or culture, and identifies them as worthy of preservation. The National Register is a program of the U. S. Department of the Interior, National Park Service, and is administered at the State level by the Maryland Historical Trust.The National Register currently comprises over 1300 listings in Maryland, including some 200 historic districts. Listed properties span a wide variety of types and periods, ranging from prehistoric archeological sites to buildings of the recent past, and include rural landscapes, urban and suburban neighborhoods, bridges, sailing vessels, and more. For more information see https://mht.maryland.gov/nationalregister.htmlThis is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/Historic/MD_NationalRegisterHistoricPlaces/FeatureServer/0

An official layer that show location of buildings listed in the National Register of Historic Places. This layer is maintained by Omaha Planning Department. You can also check up a story map of the Omaha Historic Properties: https://dogis.org/HistoricPreservation/ Questions? Contact Us

ICDAR 2021 Competition on Historical Map Segmentation — Dataset

This is the dataset of the ICDAR 2021 Competition on Historical Map Segmentation (“MapSeg”).
This competition ran from November 2020 to April 2021.
Evaluation tools are freely available but distributed separately.

Official competition website: https://icdar21-mapseg.github.io/

The competition report can be cited as:

Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, and Pavel Král, "ICDAR 2021 Competition on Historical Map Segmentation", in Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21), September 5-10, 2021, Lausanne, Switzerland.

BibTeX entry:

@InProceedings{chazalon.21.icdar.mapseg,
 author  = {Joseph Chazalon and Edwin Carlinet and Yizi Chen and Julien Perret and Bertrand Duménieu and Clément Mallet and Thierry Géraud and Vincent Nguyen and Nam Nguyen and Josef Baloun and Ladislav Lenc and and Pavel Král},
 title   = {ICDAR 2021 Competition on Historical Map Segmentation},
 booktitle = {Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21)},
 year   = {2021},
 address  = {Lausanne, Switzerland},
}

We thank the City of Paris for granting us with the permission to use and reproduce the atlases used in this work.

The images of this dataset are extracted from a series of 9 atlases of the City of Paris produced between 1894 and 1937 by the Map Service (“Service du plan”) of the City of Paris, France, for the purpose of urban management and planning. For each year, a set of approximately 20 sheets forms a tiled view of the city, drawn at 1/5000 scale using trigonometric triangulation.

Sample citation of original documents:

Atlas municipal des vingt arrondissements de Paris. 1894, 1895, 1898, 1905, 1909, 1912, 1925, 1929, and 1937. Bibliothèque de l’Hôtel de Ville. City of Paris. France.

Motivation

This competition aims as encouraging research in the digitization of historical maps. In order to be usable in historical studies, information contained in such images need to be extracted. The general pipeline involves multiples stages; we list some essential ones here:

• segment map content: locate the area of the image which contains map content;
• extract map object from different layers: detect objects like roads, buildings, building blocks, rivers, etc. to create geometric data;
• georeference the map: by detecting objects at known geographic coordinate, compute the transformation to turn geometric objects into geographic ones (which can be overlaid on current maps).

Task overview

• Task 1: Detection of building blocks
• Task 2: Segmentation of map content within map sheets
• Task 3: Localization of graticule lines intersections

Please refer to the enclosed README.md file or to the official website for the description of tasks and file formats.

Evaluation metrics and tools

Evaluation metrics are described in the competition report and tools are available at https://github.com/icdar21-mapseg/icdar21-mapseg-eval and should also be archived using Zenodo.

Individually listed historic landmark properties within the City of Tacoma. Property types in this layer may be buildings, structures, objects, or sites. Historic districts are addressed in other data layers:Historic District RegisterHistoric DistrictsHistoric Conservation DistrictsTacoma City Landmarks:The City of Tacoma maintains the Tacoma Register of Historic Places, which includes individually registered City Landmarks in addition to Historic Districts and Conservation Districts. Nominations of properties to the Tacoma Register of Historic Places may be made by citizens or property owners, which are then reviewed by the Landmarks Preservation Commission. If found to meet the criteria, the Commission makes recommendations for designation to City Council. Changes to the exteriors of City Landmark properties must be approved by the Landmarks Commission. There are over 180 properties individually listed on Tacoma's Register of Historic Places. Landmark properties are scattered throughout the city, and represent a wide variety of perspectives, architectural design, and local history.State and National Register Landmarks:Nominations to the Washington Heritage Register and the National Register are handled through the Washington Department of Archaeology & Historic Preservation (DAHP). DAHP maintains the most up-to-date data about these landmarks within the State of Washington; any information included in this dataset is intended for general reference only and may be outdated.For more information and a complete map of state and national listed landmarks statewide, please see the Washington Department of Archaeology and Historic Preservation at WISAARD (wa.gov).This dataset is maintained by the City of Tacoma’s Planning and Development Services Department. For more information about Tacoma's Historic Landmarks visit the city website.For more information or questions, please contact landmarks@cityoftacoma.org.

Polygon locations of historic districts listed on the National Register of Historic Places found in Utah. The data includes all National Register Historic Districts listed since 1966, and is updated as new districts are added. Note that properties listed individually on the National Register of Historic Places are not included as part of this dataset. Data was derived by Utah Division of State History staff from physical maps and property descriptions that are part of the National Register Nominations prepared for each district and on file at the Utah State Historic Preservation Office.

Boundaries of the National Heritage Historic Districts in Omaha.Created December 2015.

Polygon file representing the boundaries of Historic National Register properties in Indianapolis and Marion County, Indiana.Data projection: NAD 1983 StatePlane Indiana East FIPS 1301 (US Feet)

This hosted feature layer has been published in RI State Plane Feet NAD 83 These data represent approximate locations of registered historic districts and properties listed on the National Register of Historic Places.

This dataset contains point locations of sites in Indiana that have been included in the Indiana Historic Sites and Structures Survey. It includes buildings, districts, sites, structures and objects that are were at least 40 years old at the time of survey. It is not complete, may be inaccurate, and may be modified as new information is prepared. The absence of information in a particular location does not necessarily indicate that no such resources exist in said location. Absence of information in a particular location may be due simply to a lack of survey investigations of said location.

Urban area boundaries for 1878, part of the Baltimore-Washington Spatial Dynamics and Human Impacts dataset. The Baltimore-Washington Spatial Dynamics and Human Impacts dataset is an integrated and flexible temporal urban land characteristics database for the Baltimore-Washington metropolitan area. The compilation of this data is a collaborative effort led by the U.S. Geological Survey and the University of Maryland Baltimore County. The database provides visual and historical perspective of the urban growth experienced in the area between 1792 and 1992. Data on built-up areas exists as separate geographic layers for the dates: 1792, 1801, 1822, 1850, 1878, 1900, 1925, 1938, 1953, 1966, 1972, 1982, and 1992. Temporal urban mapping reconstructs past landscapes by incorporating historic maps, census statistics, and commerce records to generate a progressive geo-referenced picture of the past changes in a region. Contemporary mapping focuses on the use of remotely sensed data, existing digital land use data, digital census information, and a variety of earth science infrastructure data, such as Digital Line Graphs, Digital Elevation Models, and key ancillary demographic information. Different procedures were used for different time periods, more fully described for each file in the Process Step Section 2.5.2. The resulting database of temporal urban land use/land cover and demographic changes provides an ideal source of test data and information for both urban geographers and global change research scientists. While this dataset was developed by the University of Maryland Baltimore County final quality control and metadata generation was performed by the University of Vermont's Spatial Analysis Lab. Two significant problems were noted regarding this dataset. The first anomoly is that the 1801, 1822, and 1878 layers have a much smaller extent, and contain data only for Baltimore City. The second discrepancy is that there are also some very obvious positional errors causing misalignments between layers of different dates (i.e. urban areas become non-urban in a very short time period, an unlikely occurance). This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

The Digital Geologic-GIS Map of Sagamore Hill National Historic Site and Vicinity, New York is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sahi_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sahi_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sahi_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (sahi_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sahi_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sahi_geology_metadata_faq.pdf). Please read the sahi_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sahi_geology_metadata.txt or sahi_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).