CShapes is a new dataset that provides historical maps of state boundaries and capitals in the post-World War II period. The dataset is coded according to both the Correlates of War and the Gleditsch and Ward (1999) state lists, and is therefore compatible with a great number of existing databases in the discipline. Provided in a geographic data format, CShapes can be used directly with standard GIS software, allowing a wide range of spatial computations. In addition, we supply a CShapes package for the R statistical toolkit. This package enables researchers without GIS skills to perform various useful operations on the GIS maps.

Homepage: https://icr.ethz.ch/data/cshapes/

A list of some useful historical points of interest for Penmaenmawr in North Wales. Coordinates are WGS-84.

This application, HistoryQuest DC, is an interactive GIS map that provides historical data on approximately 193,000 extant buildings in Washington, D.C. The map offers several operational layers of information for the user including historic data on individual buildings and historic districts, links to documentation on properties listed in the National Register of Historic Places, information on historic residential subdivisions, and the identification and boundaries of the L’Enfant Plan, and the city’s Squares, and Wards. The featured layer in the map—the Historical Data on DC Buildings—provides information from a variety of sources on original dates of construction, architects, owners and builders of the city’s historic buildings. The application also includes a Query tool that allows the user to analyze the historic data within a specified geographic area or city-wide.This application has evolved out of the DC Historical Building Permits Database, begun in 2002, is on-going. Requests to correct or add new information can be made using the “Propose Data Change” drop-down form located on the banner at the top of the map.For questions or concerns, contact the Historic Preservation Office at historic.preservation@dc.gov.

Historical Points in the Geographic Names Information System (GNIS) This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays historical points from the Geographic Names Information System (GNIS). Per USGS, “The Geographic Names Information System (GNIS) is the Federal and national standard for geographic nomenclature. The U.S. Geological Survey's National Geospatial Program developed the GNIS in support of the U.S. Board on Geographic Names as the official repository of domestic geographic names data, the official vehicle for geographic names use by all departments of the Federal Government, and the source for applying geographic names to Federal electronic and printed products.” Washington D.C. Historical PointsData currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Historical Points) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 34 (Geographic Names Information System (GNIS) - USGS National Map Downloadable Data Collection)OGC API Features Link: (Historical Points in the Geographic Names Information System (GNIS) - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: U.S. Board on Geographic NamesFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data Set This 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

4.0.1 is a minor release to correct a deployment problem from Github to Zenodo.org. Content is the same as the 4.0 release:

Pleiades gazetteer datasets

Please report problems and make feature requests via the main Pleiades Gazetteer Issue Tracker.

Content is governed by the copyrights of the individual contributors responsible for its creation. Some rights are reserved. All content is distributed under the terms of a Creative Commons Attribution license (cc-by).

In order to facilitate reproducibility and to comply with license terms, we encourage use and citation of numbered releases for scholarly work that will be published in static form.

Please share notices of data reuse with the Pleiades community via email to pleiades.admin@nyu.edu. These reports help us to justify continued funding and operation of the gazetteer and to prioritize updates and improvements.

Version 4.0 - 6 February 2025

41,200 place resources

Since release 3.2 of pleiades.datasets on 3 November 2023, the Pleiades gazetteer published 876 new and 9,555 updated place resources, reflecting the work of Johan Åhlfeldt, Ella Arnold, Jeffrey Becker, Gabriel Bodard, Sarah Bond, Catherine Bouras, Lucas Butler, Iulian Bîrzescu, Anne Chen, Birgit Christiansen, Niels Christofferson, James Cowey, Francis Deblauwe, Dan Diffendale, Anthony Durham, Denitsa Dzhigova, Tom Elliott, Jordy Didier Orellana Figueroa, Martina Filosa, Jonathan Fu, Ryosuke Furui, Maija Gierhart, Sean Gillies, Matthias Grawehr, Amelia Grissom, Maxime Guénette, Andrew Harris, Greta Hawes, Ryan M. Horne, Carolin Johansson, Daniel C. Browning Jr., Noah Kaye, Philip Kenrick, Brady Kiesling, Yaniv Korman, Mark Krier, Divya Kumar-Dumas, Thomas Landvatter, Chris de Lisle, Yuyao Liu, Stanisław Ludwiński, Sean Manning, Gabriel McKee, John Muccigrosso, Jamie Novotny, Philipp Pilhofer, Jonathan Prag, Adam Rabinowitz, Rune Rattenborg, María Jesús Redondo, Charlotte Roueché, Karen Rubinson, Thomas Seidler, Rosemary Selth, Jason M. Silverman, R. Scott Smith, Néhémie Strupler, Richard Talbert, Francis Tassaux, Clifflena Tiah, Georgios Tsolakis, Scott Vanderbilt, Athanasia Varveri and Valeria Vitale.

Highlights

• Updated gazetteer data in this release: see "Contents" below.
• Removed deprecated "legacy CSV" serialization. JSON or "CSV for GIS" are the recommended packages for most third-party reuse.
• Added new "indexes" dataset: Pleiades places that reference certain external resources.
• Improved serialization of vocabulary terms in "CSV for GIS" serialization and added the previously omitted "Time Periods" vocabulary.
• Added new "sidebar" dataset: assertions by external datasets of relationships to Pleiades places.

Overview

This is a package of data derived from the Pleiades gazetteer of ancient places. It is used for archival and redistribution purposes and is likely to be less up-to-date than the live data at https://pleiades.stoa.org.

Pleiades is a community-built gazetteer and graph of ancient places. It publishes authoritative information about ancient places and spaces, providing unique services for finding, displaying, and reusing that information under open license. It publishes not just for individual human users, but also for search engines and for the widening array of computational research and visualization tools that support humanities teaching and research.

Pleiades is a continuously published scholarly reference work for the 21st century. We embrace the new paradigm of citizen humanities, encouraging contributions from any knowledgeable person and doing so in a context of pervasive peer review. Pleiades welcomes your contribution, no matter how small, and we have a number of useful tasks suitable for volunteers of every interest.

Access and Archiving

The latest versions of this package can be had by fork or download from the main branch at https://github.com/isawnyu/pleiades-datasets. Numbered releases are created periodically at GitHub. These are archived at:

• zenodo.org using the DOI 10.5281/zenodo.1193921
• archive.nyu.edu using the Handle 2451/34305
• archive.org using the URI https://archive.org/details/pleiades.datasets-{version_number}

Credits

Pleiades is brought to you by:

• Our volunteer content contributors (see data/rdf/authors.ttl for complete list and associated identifiers or data).
• Pleiades has received significant, periodic support from the National Endowment for the Humanities since 2006. Grant numbers: HK-230973-15, PA-51873-06, PX-50003-08, and PW-50557-10. Any views, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect those of the National Endowment for the Humanities.
• Web hosting and additional support has been provided since 2008 by the Institute for the Study of the Ancient World at New York University.
• Additional support has been provided since 2000 by the Ancient World Mapping Center at the University of North Carolina at Chapel Hill.
• Development hosting and other project incubation support was provided between 2000 and 2008 by Ross Scaife and the Stoa Consortium.

Location data, images, some historical information and maps of Historical Breweries in Toronto. This work and data compilation were inspired by the following book. St. John, Jordan. Lost Breweries of Toronto. Charleston, SC: History Press, 2014. Further Images and maps used in the accompanying Story Maps Workshop can also be found on flickr at https://flic.kr/s/aHsmkrMS9g and https://flic.kr/s/aHskDv5WiU

The dataset presents the historical railway network of Galicia and Austrian Silesia – two regions of the Habsburg Empire, covering more than 80 000 km2, currently divided among Czechia, Poland and Ukraine. The network covers the times of railway appearance and the most dynamic development of the 19th and beginning of the 20th century, up to 1914 – the outbreak of the First World War. The data can be characterized by unprecedented positional accuracy, as they were reconstructed based on the current railway network, which resulted in almost no shifts in space. Most of the lines were reconstructed based on OpenStreetMap data, and the lines, which were closed-down between 1914 and 2019, and are no longer available in spatial datasets, were reconstructed based on high-resolution satellite imageries and historical maps. Altogether, the network covers more than 5000 km on 127 lines. The data are accompanied by a set of attributes, i.e. year of construction, length, starting and final point, type (normal, narrow-gauge, etc.). It can be used in many different applications including historical accessibility mapping, migrations, economic development, the impact of past human activities on current environmental and socio-economic processes, like land use change drivers, landscape fragmentation, invasion of new species and many more. Data are available for download in the shp format.

Please note: Our work was focused on publicly accessible railway lines open for regular passenger traffic and hence did not contain the sidings constructed locally, e.g. to serve industrial sites or narrow gauge forest lines.

Acknowledgments This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2020, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83).

The Digital Bedrock Geologic-GIS Map of Weir Farm National Historical Park and Vicinity, Connecticut 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 (wefa_bedrock_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 (wefa_bedrock_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 (wefa_bedrock_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 (wefa_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (wefa_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 (wefa_bedrock_geology_metadata_faq.pdf). Please read the wefa_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: Connecticut Geological and Natural History 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 (wefa_bedrock_geology_metadata.txt or wefa_bedrock_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 1:125,000 and United States National Map Accuracy Standards features are within (horizontally) 63.5 meters or 208.3 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).

Data file name: Beijing.rar Data deion: 1) after finishing public issued of Beijing city traffic figure, and Beijing map, and Beijing Tourism figure, by geometry corrected, and image distribution associate, work Hou, on the year road center line for vector quantitative, on vector quantitative of network data for edit, until network full, get has Beijing city five ring within, each 10 years around time interval of network GIS data, established has Beijing history network data set. 2) data file contains years of Beijing's road network data and route data is shapefile files and named for years (1969, 1978, 1990, 2000 and 2008). 3) shapefile file's property sheet for each year, the field "year_" section belongs to the year, the field "From_" indicates that this stretch of road network from previous vintages in the sections corresponding to the FID.

If you have any questions, please contact lianggao@bjtu.edu.CN.

Cultural-historical GIS (CultGIS) is a nationwide data system with information about historical-geographical phenomena. The Dutch cultural landscape contains numerous cultural-historical elements and patterns that are the result of reclamation and habitation history. CultGIS maps part of this information categorically. CultGIS offers information on 5 levels: 9 landscape types such as the sea clay area, the coastal zone and the peat area; 19 sub-landscapes; a selection of 70 focus areas; elements, such as dykes, land boundaries, duck decoys, beds, etc.; and a nationwide regionalization with 82 regions.

Explore the historical Whois records related to gis.com (Domain). Get insights into ownership history and changes over time.

Viabundus.eu is a freely accessible online street map of late medieval and early modern northern Europe (1350-1650). Originally conceived as the digitisation of Friedrich Bruns and Hugo Weczerka's Hansische Handelsstraßen (1962) atlas of land roads in the Hanseatic area, the Viabundus map moves beyond that. It includes among others: a database with information about settlements, towns, tolls, staple markets and other information relevant for the pre-modern traveller; a route calculator; a calendar of fairs; and additional land routes as well as water ways.

Viabundus is a work in progress. Version 1.1, released on 6 December 2021, contains a rough digitisation of the land routes from Hansische Handelsstraßen, as well as a thoroughly researched road network for the current-day Netherlands, Denmark and the German states of Lower Saxony, Schleswig-Holstein, Thuringia and Saxony-Anhalt. The roads in the German states Mecklenburg-Vorpommern and Brandenburg, as well as the part of the former Duchy of Pomerania now in Poland, have been corrected for historical accuracy. The inclusion of other regions is currently being planned. Additions to the dataset will be released as new versions in the future.

The project's homepage viabundus.eu contains a web map application to explore the data. To allow for more advanced spatial and historical analyses, the underlying dataset is available for download under the CC-BY-SA license.

The dataset is designed as a network model and therefore consists of two main elements: 1) a relational database of nodes, i.e. geographical places, with historical information about settlements, towns, tolls, staple markets, fairs, bridges, ferries, harbours and shipping locks; 2) a database with edges, i.e. the geospatial representations of the land and water routes that connected these nodes. The entire database is available in CSV format (with geospatial geometry as WKT); the edges and the outlines of towns in the 16th century are also separately available as geojson and GML files. For more information about the structure of the dataset, theoretical considerations and sources, please consult the enclosed documentation file.

This dataset contains elevation, 1986 forest type, land-use history, and soils maps for the Prospect Hill Tract, digitized from paper maps in the Harvard Forest Archives. File format = Idrisi 4.1 binary. Resolution = 10m x 10m. Coordinates = UTM zone 18. Datum = 1927 North American. This dataset has been replaced with a new vector series for the entire Harvard Forest (see HF110).

The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey.

Pleiades Datasets 3.2 (3 November 2023)

This is a package of data derived from the Pleiades gazetteer of ancient places. It is used for archival and redistribution purposes and is likely to be less up-to-date than the live data at https://pleiades.stoa.org. We encourage use and citation of these numbered releases for scholarly work that will be published in static form.

Updates and additions to published content of the Pleiades gazetteer of ancient places between 1 August 2023 and 3 November 2023

What's new since 3.1 (1 August 2023):

• 108 new and 1,629 updated place resources reflecting work by Erin Walcek Averett, Jeffrey Becker, Catherine Bouras, Anne Chen, Niels Christoffersen, Peter Cobb, Tom Elliott, Jonathan Fu, Greta Hawes, Carolin Johansson, Noah Kaye, Brady Kiesling, Thomas Landvatter, Stanisław Ludwiński, Ingrid Luo, Stephan Maurer, Colin McCaffrey, Gabriel McKee, David Meadows, Gabriel Moss, John Muccigrosso, Gifford Quinn, Rune Rattenborg, Enrico Regazzoni, Rosemary Selth, R. Scott Smith, Richard Talbert, Georgios Tsolakis, and Scott Vanderbilt (see data/changelogs/release.html for details).
• Included experimental JSON index of links extracted from Pleiades place resources to "toponym" entries in Veronique Chankowski et al. Chronique Des Fouilles En Ligne = Archaeology in Greece Online. Athens: Ecole française d'Athènes and British School at Athens, 2018, together with links to the associated Chronique archaeological reports. See data/indexes/pids2chronique.json.

About Pleiades

Pleiades is a community-built gazetteer and graph of ancient places. It publishes authoritative information about ancient places and spaces, providing unique services for finding, displaying, and reusing that information under open license. It publishes not just for individual human users, but also for search engines and for the widening array of computational research and visualization tools that support humanities teaching and research.

Pleiades is a continuously published scholarly reference work for the 21st century. We embrace the new paradigm of citizen humanities, encouraging contributions from any knowledgeable person and doing so in a context of pervasive peer review. Pleiades welcomes your contribution, no matter how small, and we have a number of useful tasks suitable for volunteers of every interest.

Credits

Pleiades is brought to you by:

• Our volunteer content contributors (see data/rdf/authors.ttl for complete list and associated identifiers or data).
• Pleiades has received significant, periodic support from the National Endowment for the Humanities since 2006. Grant numbers: HK-230973-15, PA-51873-06, PX-50003-08, and PW-50557-10. Any views, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect those of the National Endowment for the Humanities.
• Additional support has been provided since 2000 by the Ancient World Mapping Center at the University of North Carolina at Chapel Hill. * Development hosting and other project incubation support was provided between 2000 and 2008 by Ross Scaife and the Stoa Consortium.
• Web hosting and additional support has been provided since 2008 by the Institute for the Study of the Ancient World at New York University.

The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey.

This dataset provides annual nomenclatures and shapefiles of départements of metropolitan France from 1870 to 1940. It is part of the TRF-GIS Dataverse.

Point locations for Michigan Historical Marker. Since Public Act 10 of 1955 established the Michigan Historical Marker Program, more than 1,800 historical markers have been placed across the state and in several other states and Europe. Each marker tells a story about the people, places and events that reveal the breadth of Michigan's heritage. Each one demonstrates a community's commitment to its history and serves as a signpost of historical significance.

The ZIP file consist of GIS files and an Access database with information about the excavations, findings and other metadata about the archaeological survey.

This point layer contains locations of six types of historical markers throughout Cambridge, including blue oval historic markers, African American Heritage Trail markers, North Cambridge historic markers, granite tombstone markers, cast-iron markers, and Cambridge History Stations. The markers commemorate significant sites, events, buildings, and prominent figures in Cambridge history. A list of historical markers was created and is maintained by the Cambridge Historical Commission. Cambridge founded its historical marker program in 1976.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription ADDRESS type: Stringwidth: 75precision: 0 Closest address to marker

DESCRIPTION type: Stringwidth: 75precision: 0 Location description

NAME type: Stringwidth: 75precision: 0 Name of the feature

NEIGHBORHOOD type: Stringwidth: 25precision: 0 Neighborhood

MARKER_TYPE type: Stringwidth: 25precision: 0 Type of historical marker

EditDate type: Stringwidth: 4precision: 0 Last edit date

created_date type: Datewidth: 8precision: 0

last_edited_date type: Datewidth: 8precision: 0

Marker_Number type: Stringwidth: 10precision: 0 Marker number