Carte du chemin de fer de Paris à Strasbourg et du canal de la Marne au Rhin

dressée par A.R. Frémin, Géographe.

Map of New Jersey and Pennsylvania exhibiting the post offices, post roads, canals, rail roads, &c.

Scale ca. 1:650,000.

Welland Canal Survey of Lands Nathan Pawling 1826; includes map and text.

Survey map and description of Nathan Pawling's land created by The Welland Canal Company. Included is a written description of the land along with a drawing of the land. Noteable features include; the dock, pier and tow path. The original bed of 12 mile creek is also noted on the map. Surveyor notes are seen in pencil on the map. The map notes the division of land between Pawling and Robert Brown's land. Click on 'detail' to see Map.

The North American Indian in the World War /

Relief shown by hachures.

Caen, France, ca. 1870 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Caen à vol d'oiseau, plan dessiné et lithé par Arse. Le Cointe. It was published by Alfred Bouchard ca. 1870. Scale [ca. 1:5,900]. Covers the Caen region, France. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950, Universal Transverse Mercator (UTM) Zone 30N projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, built-up areas and selected buildings, fortifications, ground cover, canals, and more. Relief shown pictorially. Includes also inset of Beaulieu.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Dunkerque, France, 1695 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan en profil van Duynkerken : met sijn sterktens en zee-kasteelen, belegert te water, engebombardeert door de Engelse en Hollantse zee-magten, onder de Engelse admiraal Berkly en Hollantse admiraal Alemonde, op den Augustus, 1695, doen maken en uytgeven na de autentijke tekeninge van Monsieur Pamer, Ingenieur van Sijn Kon. Majest. van Groot Brittannien. It was published by Pieter Persoy, op den Dam in 1695. Scale [ca. 1:13,000]. Covers a portion of Dunkerque, France. Map in Dutch. The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950, Universal Transverse Mercator (UTM) Zone 31N projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, built-up areas and selected buildings, fortifications and defenses, canals, docks, ground cover, and more. Includes also index and panorama view.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Le Havre, Haute-Normandie, France, ca. 1880 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan de la ville & du Port du Havre. It was published by Eug. Costey, éditeur ca. 1880. Scale [ca. 1:16,400]. Covers Le Havre region, Haute-Normandie, France. Map in French. The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950, Universal Transverse Mercator (UTM) Zone 31N projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, drainage, selected buildings, parks, cemeteries, ground cover, city districts, fortification, canals, wharves, docks, and more.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Official map publications; a historical sketch, and a bibliographical handbook of current maps and mapping services in the United States, Canada, Latin America, France, Great Britain, Germany, and certain other countries,

"Classification, cataloging, and care of maps": p. 282-295; "Tentative map classification outline by subject": p. 297-308; "Map classification outline by areas": p. 309-311.

An itinerary of France and Belgium; or, An account of the post and cross roads, rivers, canals, principal inns, coins, modes and price of travelling; list of the diligences, voiture, etc. with their various destinations.

Mode of access: Internet.

Heat maps for aggregating bioacoustic annotations

In our large library of annotated environmental recordings of animal vocalizations, searching annotations by label can return thousands of results. We propose a heat map of aggregated annotation time and frequency bounds, maintaining the shape of the annotations as they appear on the spectrogram. This compactly displays the distribution of annotation bounds for the user's query, and allows them to easily identify unusual annotations. Key to this is allowing zero values on the map to be differentiated from areas where there are single annotations.

Genetics of path lengths in brain connectivity networks: HARDI-based maps in 457 adults

Brain connectivity analyses are increasingly popular for investigating organization. Many connectivity measures including path lengths are generally defined as the number of nodes traversed to connect a node in a graph to the others. Despite its name, path length is purely topological, and does not take into account the physical length of the connections. The distance of the trajectory may also be highly relevant, but is typically overlooked in connectivity analyses. Here we combined genotyping, anatomical MRI and HARDI to understand how our genes influence the cortical connections, using whole-brain tractography. We defined a new measure, based on Dijkstra's algorithm, to compute path lengths for tracts connecting pairs of cortical regions. We compiled these measures into matrices where elements represent the physical distance traveled along tracts. We then analyzed a large cohort of healthy twins and show that our path length measure is reliable, heritable, and influenced even in young adults by the Alzheimer's risk gene, CLU.