7 resultados para Aperture height index
em Harvard University
Resumo:
prepared under the direction of Carroll D. Wright ; for the use of the United States Department of Labor.
Resumo:
This paper-bound index was created by Benjamin Wadsworth, probably around 1736. Although most entries are in his hand, additional entries have been made in other, unidentified hands. It is arranged alphabetically, though the keywords used to alphabetize topics are not always logical or intuitive. Each entry lists the College Book and page number where information on the given topic can be found.
Resumo:
This paper-bound index was created by Benjamin Wadsworth, probably around 1736. Although most entries are in his hand, additional entries have been made in other, unidentified hands. It is arranged alphabetically, though the keywords used to alphabetize topics are not always logical or intuitive. Each entry lists the College Book and page number where information on the given topic can be found.
Resumo:
Notebook containing an alphabetical index of Harvard graduates from 1642 to 1772. The author is unidentified, but the handwriting appears to be that of Harvard President Samuel Langdon (president from 1774 - 1780). The names are arranged alphabetically by surname. Each entry includes the graduate's name, additional degrees (Master, STD, MD, etc.), the year of graduation, and an asterisk if the individual was deceased. The asterisks are included for some graduates who died in 1791, indicating the work was created and updated between 1772 and 1791.
Resumo:
This dataset consists of 2D footprints of the buildings in the metropolitan Boston area, based on tiles in the orthoimage index (orthophoto quad ID: 229890, 229894, 229898, 229902, 233886, 233890, 233894, 233898, 233902, 237890, 237894, 237898, 237902, 241890, 241894, 241898, 241902, 245898, 245902). This data set was collected using 3Di's Digital Airborne Topographic Imaging System II (DATIS II). Roof height and footprint elevation attributes (derived from 1-meter resolution LIDAR (LIght Detection And Ranging) data) are included as part of each building feature. This data can be combined with other datasets to create 3D representations of buildings and the surrounding environment.