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2,347 results returned

  1. Title: Territoire de Michigan; gravé par B. de Beaupré.

    Contributors:

    Summary: Fonderie et imprimerie de J. Carez. Historical and statistical text printed on each side of map. Some relief shown by hachures. Prime meridians: Washington and Paris. Title in upper margin: Carte géographique, statistique et historique de Michigan. From: Atlas géographique statistique, historique et chronologique des deux Ameriques ... / J.A. Buchon. 1825. 1 map: hand col.; 36 x 26 cm. on 2 sheets joined 54 x 70 cm.

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  2. Title: Royaume de Bengale, et les Rivieres qui se jettent dans le Gange : suivant la deácouverte des portugais

    Contributors:

    Summary: Cartographic Details: Scale approximately 1:4,500,000 ; (E 85°58'00"--E 94°08'00"/N 27°00'00"--N 21°00'00"). Relief shown pictorially. Date from previous call number. In lower right:"53." In Dutch and French. 16 x 22 centimeters, on sheet 37 x 46 centimeters Scale approximately 1:4,500,000 Ames Library of South Asia Maps

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  3. Title: Le royaume de Guzarate avec la golfe de Cambaye et ses courants : suivant le rapport des portugais

    Contributors:

    Summary: Cartographic Details: Scale approximately 1:3,500,000 ; (E 68°30'00"--E 75°30'00"/N 23°00'00"--N 18°26'00"). Relief shown pictorially. Date from previous call number. In Dutch and French. 15 x 22 centimeters, on sheet 37 x 45 centimeters Scale approximately 1:3,500,000 Ames Library of South Asia Maps

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  4. Title: Carte des colonies anglaises dans l'Amérique septentrionale

    Contributors:

    Summary: 1 map : hand col. ; 37 x 47 cm Hand colored. Relief shown pictorially. Includes text.

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  5. Title: Paris region, France, 1893 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Plan velo des environs de Paris : d'apres les cartes de l'Etat-Major et du guide Baroncelli, A. de Baroncelli. It was published by Librairie Neal in [1893]. Scale 1:125,000. 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 bicycle routes, roads, railroads and stations, drainage, cities and towns, selected buildings, ground cover, and more. Includes distance notes in margins.This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

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  6. Title: Carte Generale de L'Afrique (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of an historic continental map of Africa from 1832, originally created by Charles François Beautemps-Beaupré, This map was georeferenced by the Stanford University Geospatial Center using a Sinusoidal projection. This map is part of a selection of digitally scanned and georeferenced historic maps of Africa held at Stanford University Libraries. This historic paper map provides an historical perspective of the cultural and physical landscape during this time period. The wide range of information provided on these maps make them useful in the study of historic geography. As this map has been georeferenced, it also can be used as a background layer in conjunction with other GIS data. The horizontal positional accuracy of a raster image is approximately the same as the accuracy of the published source map. The lack of a greater accuracy is largely the result of the inaccuracies with the original measurements and possible distortions in the original paper map document. There may also be errors introduced during the digitizing and georeferencing process. In most cases, however, errors in the raster image are small compared with sources of error in the original map graphic. The RMS error for this map is 4087.63 meters. This value describes how consistent the transformation is between the different control points (links). The RMS error is only an assessment of the accuracy of the transformation. Beautemps-Beaupré, Charles François, and Stanford Geospatial Center. (2013). Carte Generale de L'Afrique (Raster Image). Stanford Digital Repository. Available at: http://purl.stanford.edu/cn934pb9430. For more information about Stanford's Maps of Africa Collection, see here: https://exhibits.stanford.edu/maps-of-africa. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  7. Title: Carte des archipels des Iles Salomon, de la Louisiade et de la Nouvl̂ê. Bretagne. : situés à l'est de la Nouvelle Guinée

    Contributors:

    Summary: Solomon Islands--Maps

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  8. Title: Battles of Mexico, Mexico City, Mexico, 1848 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Battles of Mexico : survey of the line of operations of the U.S. Army, under command of Major General Winfield Scott, on the 19th & 20th August & on the 8th, 12th & 13th September, 1847, made by Maj. Turnbull, Capt. McClellan & Lieut. Hardcastle, Topl. Engs. ; drawn by Capt. McClellan. It was published by C.B. Graham in 1848. Scale [ca. 1:31,680]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM Zone 14N, meters, WGS 1984) 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, built-up areas, selected buildings with names of landowners, drainage, canals, troop disposition, movements, and lines of defenses, fortifications, ground cover, and more. Relief shown by hachures and pictorially. Includes positions and numbers of troops, and casualty statistics for the battles of Contreras, Churubusco, Molino del Rey, and Chapultepec, and inset: Part of the Valley of Mexico. 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.

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  9. Title: Handy indexed map of the city of Detroit showing complete street railway systems to date October, 1895.

    Contributors:

    Summary: Title from cover. Oriented with north toward the upper right. Street index on verso. "Copyright 1888, F. B. Williams." Includes description of street railway lines. 1 map: col.; 19 x 32 cm., folded in cover 16 x 9 cm.

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  10. Title: "A" diagram of a portion of Oregon Territory

    Contributors:

    Summary: Relief shown by hachures. "Surveyor General's Office, Oregon City, October 20th, 1851."

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  11. Title: Cincinnati, Ohio, ca. 1840 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Map of Cincinnati, Covington & Newport, drawn by B. Oertly. It was lithographed and published by Otto Onken, ca. 1840. Scale [ca. 1:10,500]. Covers also a portion of Northern Kentucky. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Ohio South State Plane NAD 1983 coordinate system (in Feet) (Fipszone 3402). 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, city ward boundaries, cemeteries, canals, and more. Includes also indexes and inset map of Millcreek Township.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.

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  12. Title: The western theatre of the European War : the clearest and most detailed map, in one sheet, by which the operations of the French-British-American-Belgian and German armies can be easily followed with coloured lines showing the invasion and the different stages of retreat of the German Army

    Contributors:

    Summary: Inset: Map of the Dardanelles, approximately 1:1,000,000.; Issued with the National Geographic magazine, Feb. 1921. 87 x 96 centimeters Scale 1:500,000 General Map Collection

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  13. Title: Carte du théätre sud-occidental de la guerre Européenne (front Italien)

    Contributors:

    Summary: Relief shown by spot heights and pictorially.; Title from cover. 80 x 94 centimeters Scale 1:500,000 General Map Collection

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  14. Title: Map of the mineral regions of the counties of Gogebic and Ontonagon, Michigan, 1887; published by Edw. P. Allis & H.B. Merrell; compiled by Mess. J.M. Longyear and J.M. Case, Marquette, Mich.

    Contributors:

    Summary: Shows lands of Allis & Merrell in green, and of Case & Longyear in red. Also shows mines and mineral explorations, iron ranges, existing and projected railroads, wagon roads, and supply roads. Relief shown by hachures. "Supplement to the Mining, real estate & manufacturing reporter, Milwaukee, Wis., June 4th, 1887" --Upper margin. "Copyright applied for by Edw. P. Allis, Milwaukee, Wis." 1 map: color; 50 x 62 cm

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  15. Title: Cover Types of the UMN Cloquet Forestry Center, 2021 {Cloquet, Minnesota}

    Contributors:

    Summary: Cover Types of the UMN Cloquet Forestry Center, 2021 is a polygon representation of forest stands and other vegetation types across the 3400-acre research forest. Polygon attributes represent the current status of forest inventory records for the CFC at the end of 2021 based on episodic updates to an original 2005 cover type mapping product. The University of Minnesota (UMN) Cloquet Forestry Center is a field research and instructional station associated with the College of Food, Agricultural, and Natural Resources Sciences (CFANS). The original dataset (shapefile) inventorying forest cover types at the University of Minnesota Cloquet Forestry Center was an outcome of a 2005 Covertype Mapping Project produced by Brian C. Loeffelholz and Guthrie Zimmerman on behalf of the UMN Department of Forest Resources (https://hdl.handle.net/11299/120191). The data provided here represents episodic updates to the 2005 covertype shapefile since that time. Forest stand boundaries, stand attributes, and attribute fields have been modified by Cloquet Forestry Center staff through 2021 to reflect spatial and temporal changes to cover types over time and from various management actions, predominately timber harvests.

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  16. Title: Climate-biome envelope model for the Western Great Lakes Region

    Contributors:

    Summary: Research Highlights: We modeled climate-biome envelopes at high resolution in the Western Great Lakes Region for recent and future time-periods. The projected biome shifts, in conjunction with heterogeneous distribution of protected land, may create both great challenges for conservation of particular ecosystems and novel conservation opportunities. Background and Objectives: Climate change this century will affect the distribution and relative abundance of ecological communities against a mostly static background of protected land. We developed a climate-biome envelope model using a priori climate-vegetation relationships for the Western Great Lakes Region (Minnesota, Wisconsin and Michigan USA and adjacent Ontario, Canada) to predict potential biomes and ecotones—boreal forest, mixed forest, temperate forest, prairie–forest border, and prairie—for a recent climate normal period (1979–2013) and future conditions (2061–2080). Materials and Methods: We analyzed six scenarios, two representative concentration pathways (RCP)—4.5 and 8.5, and three global climate models to represent cool, average, and warm scenarios to predict climate-biome envelopes for 2061–2080. To assess implications of the changes for conservation, we analyzed the amount of land with climate suited for each of the biomes and ecotones both region-wide and within protected areas, under current and future conditions. Results: Recent biome boundaries were accurately represented by the climate-biome envelope model. The modeled future conditions show at least a 96% loss in areas suitable for the boreal and mixed forest from the region, but likely gains in areas suitable for temperate forest, prairie–forest border, and prairie. The analysis also showed that protected areas in the region will most likely lose most or all of the area, 18,692 km2, currently climatically suitable for boreal forest. This would represent an enormous conservation loss. However, conversely, the area climatically suitable for prairie and prairie–forest border within protected areas would increase up to 12.5 times the currently suitable 1775 km2. Conclusions: These results suggest that retaining boreal forest in potential refugia where it currently exists and facilitating transition of some forests to prairie, oak savanna, and temperate forest should both be conservation priorities in the northern part of the region. Data included here are the R code used to process the publicly available CHELSA data (see publications for citation) into the biome-climate envelope product (as .R files and .txt files) and the climate-biome envelope product itself (as .tif files).

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  17. Title: Springer Lab UAV Maize Phenotyping Project at UMN Saint Paul: 2018 and 2019 {Minnesota}

    Contributors:

    Summary: This dataset provides a valuable resource for evaluating the utility of unmanned aerial vehicles to collect phenotypic data in agricultural fields. Many flights throughout the growing season of a maize experiment were conducted and this dataset includes digital elevation models generated from images within these flights, the plot boundary shapefiles for plot identification, plant height values extracted following Tirado et al., 2019 procedure, hand measurement height values conducted following flights, and yield data for each plot. This maize experiment consisted of twelve hybrids planted at three different planting densities (low, medium and high) and two planting dates (early and late) across two years and therefore provides a valuable resource for evaluating how temporal data collected from UAVs can aid in assessing plant productivity. It can also be utilized to develop and test different protocols for plant height extraction from DEMs at different growth stages as the hand measurements can be used to test the accuracy. Files include digital elevation models for all flights of our maize field in the summer of 2018 and 2019, the plot boundary shapefiles, information on each plot including planting date and density and stand counts, yield data for all plots, and weather station data for both summers. More detailed info can be found in the readme file.

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  18. Title: Distribution Maps and Models for 13 Invasive Plants in Minnesota

    Contributors:

    Summary: This dataset consists of raster (.tif) and map (.png) files for 13 invasive plants in Minnesota. Species included consist of: common buckthorn, glossy buckthorn, multiflora rose, garlic mustard, Canada thistle, common tansy, leafy spurge, spotted knapweed, wild parsnip, purple loosestrife, Japanese knotweed, narrowleaf bittercress, and plumeless thistle. The rasters (.tif files) included here consist of the output of species distribution modeling (SDM) conducted for each species; these files depict the mean cross-model and cross-assumption distribution estimates for each species, on a scale of 0 to 1. Values near 0 indicate low likelihood of finding the species there, or low habitat suitability, and values near 1 represent a high likelihood of finding the species. The maps (.png files) included here depict the same information, but in a static non-GIS compatible format.

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  19. Title: (Composite Map) (Facsimile) Rocque's Map of London. 1746 (Raster Image)

    Contributors:

    Summary: This raster layer is a georeferenced image of a map titled "Composite Map: (Facsimile) Rocque's Map of London. 1746." Published in 1919, this composite map is considered one of the best facsimiles of the original Rocque Map ("A plan of the cities of London and Westminster, and borough of Southwark"), created by John Rocque and first published in 1746. A scanned version of this map available from The David Rumsey Map Collection was georeferenced by the Kindred London mapping project. The broad goal of the Kindred London project is to create four digitized road networks from four historic maps of London that will be used for an online, interactive web platform that will allow users to experience what it would have been like to travel the streets of London.

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  20. Title: White-tailed deer density estimates across the eastern United States (2008)

    Contributors:

    Summary: In 2008, the Quality Deer Management Association (QDMA) developed a map of white-tailed deer density with information obtained from state wildlife agencies. The map contains information from 2001 to 2005, with noticeable changes since the development of the first deer density map made by QDMA in 2001. The University of Minnesota, Forest Ecosystem Health Lab and the US Department of Agriculture, Forest Service-Northern Research Station have digitized the deer density map to provide information on the status and trends of forest health across the eastern United States. The QDMA spatial map depicting deer density (deer per square mile) was digitized across the eastern United States. Estimates of deer density were: White = rare, absent, or urban area with unknown population, Green = less than 15 deer per square mile, Yellow = 15 to 30 deer per square mile, Orange = 30 to 40 deer per square mile, or Red = greater than 45 deer per square mile. These categories represent coarse deer density levels as identified in the QDMA report in 2009 and should not be used to represent current or future deer densities across the study region.

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