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167 results returned

  1. Title: Geneva, Switzerland, 1880 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Plan de Geneve, N. Galais pere, ingeniuer geometre de [1ere] classe; litographie artistique Lelievre-Drache. It was published by Lelievre-Drache in 1880. Scale 1:3,000. Covers Geneva, Switzerland. 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 32N 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, street railway lines, drainage, built-up areas and selected buildings, cemeteries, parks, 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.

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  2. Title: Newton, Massachusetts, 1855 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Map of the town of Newton, Middlesex County, Mass., surveyed by order of the town by H.F. Walling, Sup. of the state map; assistant engineers F.S. Belden, N. Smith, Jr. It was published by Lith of Sarony & Co. in 1855. Scale [1:12,900]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). 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, public buildings, schools, industry locations (e.g. mills, factories, etc.), selected private buildings with names of property owners, town boundaries, cemeteries, and more. Relief shown by hachures. Includes insets: West Newton -- Newton Corner.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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  3. Title: Dedham (including Westwood and Norwood), Massachusetts, 1851 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Map of the town of Dedham, Norfolk County, Massachusetts, [by] N. Smith Jr. & H.F. Walling, civil engineers. It was published in 1851. Scale [ca. 1:20,000]. Covers the towns of Dedham, Westwood, and Norwood. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). 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, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town boundaries and more. Relief is shown by hachures. Includes inset: Dedham village. Scale [ca. 1:5,900]. This layer is part of a selection of digitally scanned and georeferenced historic maps of Massachusetts from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates (1755-1922), scales, and purposes. The digitized selection includes maps of: the state, Massachusetts counties, town surveys, coastal features, real property, parks, cemeteries, railroads, roads, public works projects, etc.

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  4. Title: Situation des principales ressources minerales de l'Afrique Location of chief mineral resources of Africa

    Contributors:

    Summary: "Fonds topographiques l'Equisse structurale provisoire de l'Afrique (document ASGA)". © Unesco 1962. Original map is filed in the Map/Geospatial Center, a map reproduction is attached to companion volume. Companion text devotes the first chapter to a history of "Topographic mapping of Africa". Document established with the assistance of the Association of African Geological Surveys. 1961.

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  5. Title: Stanford Temperature Model 0km

    Contributors:

    Summary: This is a temperature-at-depth model for the conterminous Untied States, at 0 kilometers. It involves multiple physical quantities, such as bottomhole temperature, depth and spatial coordinates, heat flow, thermal conductivity, elevation, sediment thickness, magnetic anomaly, gravity anomaly, and gamma-ray flux of radioactive elements. 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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  6. Title: Hectacres Occupied by Pasturelands and Feed Crops

    Contributors:

    Summary: This multi-band raster data represents hectacres of pastureland that are currently occupied by feed crops. The pixel band ranges represent two estimated values: areas sourced from the lowest carbon areas and areas sourced from the highest carbon areas. The data is captured at a resolution of 5 arcminutes over the global domain. This data is released with an Attribution 4.0 International (CC BY 4.0) license. Users may cite this collection with https://doi.org/10.17609/q5pe-7r68/.

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  7. Title: Carbon Opportunity Cost of Present-Day Pasturelands and Animal Feed Crops

    Contributors:

    Summary: This multi-band raster data represents estimates of carbon opportunity cost. The data is captured at a resolution of 5 arcminutes over the global domain and is derived from data collected approximately over the past two decades (2000-2020). The pixel values measure estimates in tonnes of potential vegetation per hectare that are suppressed by pasturelands and present-day feed crops. The bands represent three estimates of carbon in potential vegetation: median, low (5th percentile), and high (95th percentile). This data is released with an Attribution 4.0 International (CC BY 4.0) license. Users may cite this collection with https://doi.org/10.17609/q5pe-7r68/.

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  8. 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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  9. Title: Land Cover Change, Southwest Cameroon, 2000-2015

    Contributors:

    Summary: This raster dataset is a georeferenced image containing land cover change classifications in southwest Cameroon between 2000 and 2015. Classifications are divided into 3 types of land cover change: unclassified (no change), non-forest (other) to oil palm/immature monoculture, and forest to oil palm/immature monoculture. These data are referenced in the corresponding publication: Ordway et al. 2018. Oil palm expansion and deforestation in Southwest Cameroon associated with proliferation of informal mills. Nature Communications. These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.

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  10. Title: Land Cover Classifications, Southwest Cameroon, 2015

    Contributors:

    Summary: This raster dataset is a georeferenced image containing land cover classifications developed as part of a study of oil palm expansion and deforestation in southwest Cameroon. Classifications represent the year 2015 and are divided into 5 land cover types: unclassified, mature oil palm, immature monoculture (65% immature oil palm), forest, and other. These data are referenced in the corresponding publication: Ordway et al. 2018. Oil palm expansion and deforestation in Southwest Cameroon associated with proliferation of informal mills. Nature Communications. These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.

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  11. Title: Land Cover Classifications, Southwest Cameroon, 2000

    Contributors:

    Summary: This raster dataset is a georeferenced image containing land cover classifications developed as part of a study of oil palm expansion and deforestation in southwest Cameroon. Classifications represent the year 2000 and are divided into 5 land cover types: unclassified, mature oil palm, immature monoculture (65% immature oil palm), forest, and other. These data are referenced in the corresponding publication: Ordway et al. 2018. Oil palm expansion and deforestation in Southwest Cameroon associated with proliferation of informal mills. Nature Communications. These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.

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  12. Title: C-35 Geologic Atlas of Meeker County, Minnesota [Part A]

    Contributors:

    Summary: Plate 1, Data Base, Plate 2, Bedrock Geology, Plate 3, Surficial Geology, Plate 4 Quaternary Stratigraphy, Plate 5 Sand Distribution Models, Bedrock Topography and Depth-to-Bedrock, Scale 1:100,000.; A County Geologic Atlas project is a study of a county's geology, and its mineral and ground-water resources. The information collected during the project is used to develop maps, data-base files, and reports. This same information is also produced as digital files for use with computers. The map information is formatted as geographic information system (GIS) files with associated data bases. The maps and reports are also reproduced as portable document files (PDFs) that can be opened on virtually any computer using the free Acrobat Reader from Adobe.com.; The Meeker County board of Commissioners and the Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative - Citizen Commission on Minnesota Resources

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  13. Title: A New Map of Texas Oregon and California With The Regions Adjoining. Compiled from the most recent authorities. Philadelphia Published by S. Augustus Mitchell N.E Corner Of Market & Seventh Streets. 1846. Entered ... 1845 by H.N. Burroughs Pennsylvania (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced image of a map of California, Texas, and Oregon, originally created by S. Mitchell and H. Burroughs in 1846. The original map appears in "A New Map of Texas Oregon and California With The Regions Adjoining. Compiled from the most recent authorities. Philadelphia Published by S. Augustus Mitchell N.E. Corner Of Market & Seventh Streets. 1846. Entered ... 1845 by H.N. Burroughs ... Pennsylvania." The historic map layers in the Google Earth Rumsey Map Collection have been selected by David Rumsey from his large collection of historical maps, as well as some from other collections with which he collaborates. All the maps contain rich information about the past and represent a sampling of time periods, scales, and cartographic art, resulting in visual history stories that only old maps can tell. Each map has been georeferenced by Rumsey, thus creating unique digital map images that allow the old maps to appear in their correct places on the modern globe. Some of the maps fit perfectly in their modern spaces, while othersgenerally earlier period mapsreveal interesting geographical misconceptions of their time. Cultural features on the maps can be compared to the modern satellite views using the slider bars to adjust transparency. The result is an exploration of time as well as space, a marriage of historic cartographic masterpieces with innovative contemporary software tools.

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  14. Title: Paris, France, 1855 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Nouveau plan complet de Paris avec ses fortifications : divise en 12 arrondissements & 48 sections avec les principaux monuments en elevation, donnant la distance legale en metres des forts detaches aux murs d'enceinte & aux murs d'octroi indiquant la population & les fetes patronales des environs de Paris, grave sur acier par J.N. Henriot. It was published by chez A. Bes et F. Dubreuil in 1855. Scale [ca. 1:16,700]. Map in French. Covers Paris, France.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, railroad stations, drainage, selected buildings and built-up areas, ground cover, district boundaries, fortification, parks, gardens, cemeteries, and more. Relief and some buildings shown pictorially. Includes also indices, notes, and inset: Environs de Paris indiquant tous les Forts.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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  15. Title: Zoning Map, Stoneham, Massachusetts, 1983 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Stoneham, Massachusetts, official zoning map : January 1983 / by Joseph H. Mac Kay P.E. [and] Jeffrey N. Oxman. It was published in 1983. Scale [ca. 1:8,100]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). 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, drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Includes also street names, watershed names, and zoning districts. 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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  16. Title: Zoning Map, Stoneham, Massachusetts, 1985 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Stoneham, Massachusetts, official zoning map : October 21, 1985 / by Joseph H. Mac Kay P.E. [and] Jeffrey N. Oxman. It was published in 1985. Scale [ca. 1:8,100]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). 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, drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Includes also street names, watershed names, and zoning districts. 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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  17. Title: LandScan Global Population Database 2013

    Contributors:

    Summary: This raster dataset contains population counts at 30 arc second resolution (1 km. or finer) for 2013. This release represents the fourteenth version of LandScan and succeeds all previous versions. Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, There is also a layer file (lspop2012.lyr) for ArcGIS. This dataset is part of the LandScan global 2013. Developed for the U. S. Department of Defense. Allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Bright, Edward A., Coleman, Phillip R., Rose, Amy N., and Oak Ridge National Laboratory. (2013) LandScan Global Population Database 2013. Oak Ridge National Laboratory, UT-Battelle, LLC. IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2013.

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  18. Title: Strasbourg, France, 1823 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Plan de Strasbourg : avec tous les etablissmens publics renfermes dans l'enceinte des fortifications, reduit par Ch. Rothe sur le plan general dresse en 1821 par Mr. N. J. Villot, architecte de la ville ; dessine et ecrit sur pierre par Clement Senefelder. It was published by la lithographie de F. G. Levrault, imprimeur du Roi in 1823. Scale [1:3,126]. Covers Strasbourg, 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 UTM Zone 32N' 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, fortification, ground cover, and more. 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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  19. Title: Abundance Estimates of the Pacific Salmon Conservation Assessment Database, 1978-2008

    Contributors:

    Summary: This dataset is a visualization of abundance estimates for six species of Pacific salmon (Oncorhynchus spp.): Chinook, Chum, Pink, Steelhead, Sockeye, and Coho in catchment areas of the Northern Pacific Ocean, including Canada, China, Japan, Russia, and the United States. Catchment polygons included in this layer range in dates from 1978 to 2008. Sources dating from 1950 to 2005, including published literature and agency reports were consulted in order to create these data. In addition to abundance estimates, the PCSA database includes information on distribution, diversity, run-timings, land cover/land-use, dams, hatcheries, data sources, drainages, and administrative categories and provides a consistent format for comparing watersheds across the range of wild Pacific salmon.The Conservation Science team at the Wild Salmon Center has created a geographic database, the Pacific Salmon Conservation Assessment (PSCA) that covers the whole range of wild Pacific Salmon. By providing estimations of salmon abundance and diversity, these data can provide opportunities to conduct range-wide analysis for conservation planning, prioritizing, and assessments. The primary goal in developing the PSCA database is to guide proactive international salmon conservation.

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  20. Title: Newport, Rhode Island, ca. 1892 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Map of Newport, R.I., surveyed by N.W. Eayrs, c.e. ; under the direction of J.P. Cotton, c.e. ; J. Bergner, del. It was published ca. 1892 by Simon Hart. Scale [ca. 1:13,000]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Rhode Island State Plane Coordinate System (Feet) (FIPS 3800). 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, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, city ward boundaries, selected property boundaries, buildings, and names of property owners, and more. Includes inset: Road map of island of Rhode Island and Conanicut Island, surveyed by C.E. Hammett, Jr. Scale [ca. 1:85,000]. Also includes index to points of interest (churches, schools, hotels, libraries, mills, etc.), tables of elevation and distances, and shows radial distances. This layer is part of a selection of digitally scanned and georeferenced historic maps of New England from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates, scales, and map purposes.

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