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  1. Title: International Bathymetric Chart of the Arctic Ocean, 500-Meter Resolution GeoTIFF (Version 3.0)

    Contributors:

    Summary: This layer is a georeferenced image (GeoTIFF) of a digital bathymetric model (DBM) compiled with all multibeam, dense single beam and land data added at 500 x 500 meters resolution. The original (DBM) was compiled with all multibeam, dense single beam and land data added at 500 x 500 m resolution in a final step using the remove-restore method. Data were compiled from several multibeam cruises in the region dating from 1994 to 2011. The goal of this initiative is to develop a digital data base that contains all available bathymetric data north of 64° North, for use by mapmakers, researchers, institutions, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. Jakobsson, M., L. A. Mayer, B. Coakley, J. A. Dowdeswell, S. Forbes, B. Fridman, H. Hodnesdal, R. Noormets, R. Pedersen, M. Rebesco, H.-W. Schenke, Y. Zarayskaya A, D. Accettella, A. Armstrong, R. M. Anderson, P. Bienhoff, A. Camerlenghi, I. Church, M. Edwards, J. V. Gardner, J. K. Hall, B. Hell, O. B. Hestvik, Y. Kristoffersen, C. Marcussen, R. Mohammad, D. Mosher, S. V. Nghiem, M. T. Pedrosa, P. G. Travaglini, and P. Weatherall, The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0, Geophysical Research Letters, doi:10.1029/2012GL052219. [Auxiliary Material] 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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  2. Title: International Bathymetric Chart of the Arctic Ocean, 30 Arc-Second Resolution GeoTIFF (Version 3.0)

    Contributors:

    Summary: This layer is a georeferenced raster image (GeoTIFF) of a digital bathymetric model (DBM) of the Arctic Ocean compiled with all multibeam, dense single beam, and land data added at a resolution of 30 x 30 arc seconds. This is a reprojected version (WGS84) of the 500 meter resolution data layer. The original (DBM) was compiled with all multibeam, dense single beam and land data added at 500 x 500 m resolution in a final step using the remove-restore method. Data were compiled from several multibeam cruises in the region dating from 1994 to 2011. The goal of this initiative is to develop a digital data base that contains all available bathymetric data north of 64° North, for use by mapmakers, researchers, institutions, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. Jakobsson, M., L. A. Mayer, B. Coakley, J. A. Dowdeswell, S. Forbes, B. Fridman, H. Hodnesdal, R. Noormets, R. Pedersen, M. Rebesco, H.-W. Schenke, Y. Zarayskaya A, D. Accettella, A. Armstrong, R. M. Anderson, P. Bienhoff, A. Camerlenghi, I. Church, M. Edwards, J. V. Gardner, J. K. Hall, B. Hell, O. B. Hestvik, Y. Kristoffersen, C. Marcussen, R. Mohammad, D. Mosher, S. V. Nghiem, M. T. Pedrosa, P. G. Travaglini, and P. Weatherall, The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0, Geophysical Research Letters, doi: 10.1029/2012GL052219. [Auxiliary Material]

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  3. Title: Map of Alger County, Michigan

    Contributors:

    Summary: Extent: 1 map Notes: Shows roads, locations and township and range lines. Cartographic material. Scale approximately 1:189,000

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  4. Title: Road map of Montmorency County

    Contributors:

    Summary: Extent: 1 map Abstract: County road map. Notes: Scale determined from section lines. Includes list of road commission members. Promotional texts about Montmorency County, Lewiston, Hillman, and Atlanta, and illustrations on verso. Scale approximately 1:90,000

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  5. Title: Refined Product Terminals, San Mateo County, 2015

    Contributors:

    Summary: This point shapefile represents refined product terminals in San Mateo County, California. Credits Source: California Energy Commission Source Date: October 2015. This layer is part of the San Mateo County Sea Level Rise Vulnerability Assessment Project. 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. County of San Mateo Information Services Department and California Energy Commission. (2019). Refined Product Terminals, San Mateo County, 2015. County of San Mateo Information Services Department. Available at: http://purl.stanford.edu/gk172cz8329. 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: Substations, San Mateo County Sea Level Rise Vulnerability Assessment Project, 2014

    Contributors:

    Summary: This point shapefile represents substations in the Sea Level Rise Vulnerability Assessment Project area in San Mateo, County California. This layer is part of the San Mateo County Sea Level Rise Vulnerability Assessment Project. Source: California Energy Comission. Source Date: 2014* Other Substation and Transmission Line Owners - California AEWSDArvin-Edison Water Storage DistributionMORENO VALLEYAMPAlameda Municipal PowerMWDMetropolitan Water District of Southern CaliforniaANZAAnza ElectricNASANational Aeronautics and Space AdministrationAPUDCity of Anaheim Public Utilities DistrictNCPANorthern California Power AgencyAZUSAAzusa Light and WaterNPUANeedles Public Utility AuthorityBARTBay Area Rapid Transit DistrictNV ENERGYNV EnergyBFPBurney Forest PowerPACWPacifiCorp WestBPABonneville Power AdministrationPCWAPlacer County Water AgencyBURBCity of Burbank Water & PowerPLSRPlumas - Sierra Rural Electric Co-opCA RECLAMATION DISTRICTPORT OF OAKLANDCA STATEState of CaliforniaPORT OF STOCKTONCALPINECalpine CorporationPRIVATECCSFCity & County of San FranciscoRCMURancho Cucamonga Municipal UtilityCDWRCalifornia Department of Water ResourcesREURedding Electric UtilityCORONACity of CoronaROSEVILLE ELECTRICCOLTONCity of ColtonRPURiverside Public UltilitiesFRESNOCity of FresnoSAN JOAQUINSan Joaquin CountyHEALDSBURGCity of HealdsburgSFPPSanta Fe Pacific Pipeline PartnersLOMPOCCity of LompocSIDSolano Irrigation DistrictPALO ALTOCity of Palo AltoSJVESan Joaquin Valley Clean Energy Org.ROSEVILLECity of Roseville ElectricSTANFORDLeland Stanford, Jr. UniversitySAN JOSECity of San JoseSVECSurprise Valley Electrification CorporationSHASTA LAKECity of Shasta LakeSVP (Silicon Valley Power)City of Santa ClaraVICTORVILLECity of VictorvilleTANCTransmission Agency of Northern CaliforniaSONOMACounty of SonomaTBCTrans Bay CableDCSCity of DublinTDPUDTruckee Donner Public Utility DistrictEBMUDEast Bay Municipal Utility DistrictTIDTurlock Irrigation DistrictECCIDEast Contra Costa Irrigation DistrictTPUDTrinity Public Utility DistrictFEDFederal FacilitiesUCBUniversity of California BerkeleyGWPCity of Glendale Water & PowerUCDUniversity of California DavisISLAND ENERGYCity of PittsburgUNKNOWNLIBERTY ENERGYUSBRU.S. Bureau of ReclamationLMUDLassen Municipal Utility DistrictVERNONCity of VernonMEIDMerced Irrigation DistrictWALCWestern Area Lower Colorado (WAPA)MIDModesto Irrigation DistrictYCWAYuba County Water Agency 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. County of San Mateo Information Services Department and California Energy Commission. (2019). Substations, San Mateo County, 2014. County of San Mateo Information Services Department. Available at: http://purl.stanford.edu/bk206cr9016. 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: California Coastal Trail, San Mateo County Sea Level Rise Vulnerability Assessment Project, 2012

    Contributors:

    Summary: This line shapefile represents sections of the California Coastal Trail in the San Mateo County Sea Level Rise Vulnerability Assessment Project area. Data from the National Park Service (Golden Gate National Recreation Area and Point Reyes National Seashore), the California Department of Parks and Recreation (Coastal State Park Units), the California Coastal Commission (SB908), and Coastwalk (2008 alignment) were used to create this dataset. Starting with the SB908 and Coastwalk 2008 the alignment of the trail was reviewed by staff at the Conservancy for accuracy and to make sure that newly completed projects were included. Once the route was reviewed data was used from NPS, CDPR, and 1m images to digitize the new alignment. Where the CCT was already established by NPS or CDPR their alignment for the route was followed. This alignment of the CCT was created to update the SB908 (2002) alignment and the Coastwalk (2008) alignments to include new sections of the CCT. The new data is also intended to be significantly more accurate.Goal 1: Update the alignment (2012)Goal 2: Make the data usable at larger scales in web mapping applications.Goal 3: Only display the existing route available to the public. (No planned, proposed, or missing sections)This layer is part of the San Mateo County Sea Level Rise Vulnerability Assessment Project. 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. County of San Mateo Information Services Department, U.S. National Park Service, California Department of Parks and Recreation, and California Coastal Commission. (2019). California Coastal Trail, San Mateo County Sea Level Rise Vulnerability Assessment Project, 2012. County of San Mateo Information Services Department. Available at: http://purl.stanford.edu/vf492kn2050. 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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  8. Title: Commercial Waterway Network, Great Lakes Region 2019

    Contributors:

    Summary: The National Waterway Network is comprised of a link database and a node database. Links are line strings, which consist of beginning and end points (nodes) with intermediate vertices (shape points). Links represent either actual shipping lanes (i.e., channels, Intracoastal Waterways, sealanes, rivers) or serve as representative paths in open water (where no defined shipping paths exist). Nodes may represent physical entities such as river confluence's, ports/facilities, and intermodal terminals, USACE nodes, or may be inserted for analytical purposes (i.e., to facilitate routing). The NWN databases were developed by Oak Ridge National Laboratory (ORNL) and Vanderbilt University, with input from the National Waterway GIS Design Committee (NWGISDC). The NWGISDC contains members from several agencies, including the U.S. Army Corps of Engineers (USACE), USDOT Bureau of Transportation Statistics (BTS), Volpe National Transportation Systems Center (VNTSC), Maritime Administration (MARAD), Military Traffic Management Command (MTMC), Tennessee Valley Authority (TVA), U.S. Environmental Protection Agency (EPA), U.S. Bureau of Census, U.S. Coast Guard, and the Federal Railroad Administration (FRA). Several data sources were used to create the network. Therefore, network links vary in scale. The majority of the inland links are at 1:100,000 scale(derived from 1:100,000 scale Digital Line Graph files). Off-shore links were derived from variable scale NOAA Navigational Charts. Therefore, the off-shore links vary in scale, with larger scale NOAA charts used in harbor/bay/port areas, and smaller scale NOAA charts used in open waters. All links in the USACE (non geo-coded) Waterway Link Network are represented in the NWN. The USACE network was used as a base for the NWN; 'USACE links' form a contiguous subset within the NWN, and can be extracted through queries on the 'link number' (linknum) field in the link database (where linknum<1000000). Additional (non- USACE) links and nodes were added to the USACE network to more realistically represent shipping patterns. Approximately 200 USACE ports are geo-coded in the node database, including the top 150 ports. ORNL initially developed databases for the inland waterways; Vanderbilt constructed databases for the off-shore waterways. ORNL then merged the inland and off-shore databases to form a continuous national network. Vanderbilt revised the inland waterway network through use of USGS Digital Line Graph (DLG) files. Vanderbilt, ORNL, and the U.S. Army Corps of Engineers Waterborne Commerce Statistics Center (WCSC) are continuously enhancing and performing validation tasks to improve the accuracy of the NWN.

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  9. Title: Fish Spawning Locations, Great Lakes Region 2019

    Contributors:

    Summary: The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open water of each of the five Great Lakes and nine coastal wetlands. Three species complexes were suggested: a Great Lakes taxocene; a transitional taxocene, which utilized open water, near-shore, and wetlands; and a wetland taxocene. We chose this as one of the classification schemes because we are particularly interested in identifying the distribution pattern of fish with coastal wetlands; for clarity sake, we have renamed these taxocenes coastal, intermediate and open-water, respectively. For comparison, we also used Coker et al.??s (2001) classification based on temperature preferenda (5 classes) and Balon??s (1975) reproductive guild classification (32 guilds).

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  10. Title: Sea Lamprey Larval Max Extent, Great Lakes Region 2019

    Contributors:

    Summary: Lines were generated using survey point data as input for geometric network analysis along the NHD hydro network.

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  11. Title: Shorelines, Lake Michigan 2018

    Contributors:

    Summary: U.S. States (Detailed) provides detailed boundaries that are consistent with the tract and county (detailed) data sets and are effective at regional and state levels.

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  12. Title: Commercial Waterway Network, Great Lakes Region 2017

    Contributors:

    Summary: The National Waterway Network is comprised of a link database and a node database. Links are line strings, which consist of beginning and end points (nodes) with intermediate vertices (shape points). Links represent either actual shipping lanes (i.e., channels, Intracoastal Waterways, sealanes, rivers) or serve as representative paths in open water (where no defined shipping paths exist). Nodes may represent physical entities such as river confluence's, ports/facilities, and intermodal terminals, USACE nodes, or may be inserted for analytical purposes (i.e., to facilitate routing). The NWN databases were developed by Oak Ridge National Laboratory (ORNL) and Vanderbilt University, with input from the National Waterway GIS Design Committee (NWGISDC). The NWGISDC contains members from several agencies, including the U.S. Army Corps of Engineers (USACE), USDOT Bureau of Transportation Statistics (BTS), Volpe National Transportation Systems Center (VNTSC), Maritime Administration (MARAD), Military Traffic Management Command (MTMC), Tennessee Valley Authority (TVA), U.S. Environmental Protection Agency (EPA), U.S. Bureau of Census, U.S. Coast Guard, and the Federal Railroad Administration (FRA). Several data sources were used to create the network. Therefore, network links vary in scale. The majority of the inland links are at 1:100,000 scale(derived from 1:100,000 scale Digital Line Graph files). Off-shore links were derived from variable scale NOAA Navigational Charts. Therefore, the off-shore links vary in scale, with larger scale NOAA charts used in harbor/bay/port areas, and smaller scale NOAA charts used in open waters. All links in the USACE (non geo-coded) Waterway Link Network are represented in the NWN. The USACE network was used as a base for the NWN; 'USACE links' form a contiguous subset within the NWN, and can be extracted through queries on the 'link number' (linknum) field in the link database (where linknum

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  13. Title: Sea Lamprey Larval Max Extent, Great Lakes Region 2017

    Contributors:

    Summary: A layer indicating the farthest historic upstream observation of sea lamprey larvae based on surveys conducted by the Larval Assessment Task Force. Lines were generated using survey point data as input for geometric network analysis along the NHD hydro network.

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  14. Title: Cold Water Threat, Great Lakes Region 2017

    Contributors:

    Summary: Cold Water Resource Threat: A measure of vulnerability of Great Lakes watersheds to thermal loading, based on the most influential factors that shape thermal conditions: mean annual air temperature, groundwater discharge potential, surface water extent, and riparian forest cover (weighted and used to develop an environmental index of aquatic resource sensitivity or vulnerability to thermal loadings).The product of the thermal vulnerability and the miles of coldwater streams in a given watershed (mean July temperature of 75 received a score of 1.00. The scale then breaks down as follows: 0.00 = High Threat, 0.33 = Moderate Threat, 0.66 = Low Threat, 1.00 = Extremely Low Threat

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  15. Title: Fish Spawning Locations, Great Lakes Region 2017

    Contributors:

    Summary: The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open water of each of the five Great Lakes and nine coastal wetlands. Three species complexes were suggested: a Great Lakes taxocene; a transitional taxocene, which utilized open water, near-shore, and wetlands; and a wetland taxocene. We chose this as one of the classification schemes because we are particularly interested in identifying the distribution pattern of fish with coastal wetlands; for clarity sake, we have renamed these taxocenes coastal, intermediate and open-water, respectively. For comparison, we also used Coker et al.'s (2001) classification based on temperature preferenda (5 classes) and Balon's (1975) reproductive guild classification (32 guilds).

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  16. Title: District Line Boundaries, Bhutan, 2016

    Contributors:

    Summary: This line shapefile represents district line boundaries in Bhutan. This layer is part of Global Map version 2. Global Map data were developed under the cooperation of National Geospatial Information Authorities (NGIAs) of respective countries and regions. Global Map of Bhutan © ISCGM/ Royal Government of Bhutan - National Land Commission Secretariat (NLCS) Global Map data of National/Regional version were developed with consistent specifications by NGIAs of respective countries and regions for fundamental geospatial information of their respective coverage by using geospatial information owned by them, and they were provided. The data have been authorized by NGIAs of respective countries and regions. Therefore, the contents of respective data are based on the views of respective data developers. For some countries and regions, there may be parts where data have not been developed. National/Regional version of Global Map data was to be updated in about five-year cycle on the basis of resolutions of an ISCGM meeting. To know about the year data were updated and about data developers, please refer to metadata attached to each data. Depending on the period the data were prepared, they were developed in line with two different specifications, namely, version 1 in VPF and BIL formats, and version 2 in GML and BIL formats. 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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  17. Title: Roads, Bhutan, 2016

    Contributors:

    Summary: This line shapefile represents roads in Bhutan. This layer is part of Global Map version 2. Global Map data were developed under the cooperation of National Geospatial Information Authorities (NGIAs) of respective countries and regions. Global Map of Bhutan © ISCGM/ Royal Government of Bhutan - National Land Commission Secretariat (NLCS) Global Map data of National/Regional version were developed with consistent specifications by NGIAs of respective countries and regions for fundamental geospatial information of their respective coverage by using geospatial information owned by them, and they were provided. The data have been authorized by NGIAs of respective countries and regions. Therefore, the contents of respective data are based on the views of respective data developers. For some countries and regions, there may be parts where data have not been developed. National/Regional version of Global Map data was to be updated in about five-year cycle on the basis of resolutions of an ISCGM meeting. To know about the year data were updated and about data developers, please refer to metadata attached to each data. Depending on the period the data were prepared, they were developed in line with two different specifications, namely, version 1 in VPF and BIL formats, and version 2 in GML and BIL formats. 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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  18. Title: Districts, Bhutan, 2016

    Contributors:

    Summary: This polygon shapefile represents districts in Bhutan. This layer is part of Global Map version 2. Global Map data were developed under the cooperation of National Geospatial Information Authorities (NGIAs) of respective countries and regions. Global Map of Bhutan © ISCGM/ Royal Government of Bhutan - National Land Commission Secretariat (NLCS) Global Map data of National/Regional version were developed with consistent specifications by NGIAs of respective countries and regions for fundamental geospatial information of their respective coverage by using geospatial information owned by them, and they were provided. The data have been authorized by NGIAs of respective countries and regions. Therefore, the contents of respective data are based on the views of respective data developers. For some countries and regions, there may be parts where data have not been developed. National/Regional version of Global Map data was to be updated in about five-year cycle on the basis of resolutions of an ISCGM meeting. To know about the year data were updated and about data developers, please refer to metadata attached to each data. Depending on the period the data were prepared, they were developed in line with two different specifications, namely, version 1 in VPF and BIL formats, and version 2 in GML and BIL formats. 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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  19. Title: Bird Survey Grid, Great Lakes Region 2015

    Contributors:

    Summary: This dataset was developed as part of a two-phase project by the Great Lakes Commission and collaborators, entitled Monitoring and Mapping Avian Resources Over Selected Areas of the Great Lakes and Outreach to Support Related Resource Management (2012-2014). This project was funded by the US Fish and Wildlife Service. Visual aerial surveys for pelagic waterbirds were conducted over two fall and two spring migration seasons, with several additional surveys occurring during the winter months. Surveyors included: Biodiversity Research Institute (eastern Lake Erie, 2013-2014); Michigan Department of Natural Resources and Michigan State University (Lake St. Clair, western Lake Erie, and Detroit River, 2012-2014); Michigan Natural Features Inventory (Lake Huron, 2012-2014); US Geological Survey (Lake Michigan, 2012-2014); and the Western Great Lakes Bird and Bat Observatory (Lake Michigan, 2012-2014).Caution should be employed when using or interpreting these data, for reasons that include the following:1. Data were collected by multiple surveyors using differing survey methods. Survey locations, frequency, transect density, altitude, plane speed, and other methodologies may have varied, and these variations have the potential to cause variations in detection or identification rates of waterbirds between surveys and between surveyors.2. Many surveys did not include on-transect effort information (for example, GPS transects of survey effort, to enable clear identification of areas that were surveyed and where birds were not found). For surveys that did not include this information, approximate effort data were developed using idealized transects and observation locations, but this is a poor substitute for real effort data. The effort data associated with this dataset should be used with extreme caution, and it is recommended that they are not used for estimating bird densities.3. The majority of data do not include distance information, or include different distance bands between years or survey areas. This largely precludes the correction of counts to include estimates of animals that were present but not observed. As a result, these data cannot be used to estimate real or absolute abundance of pelagic waterbirds, but rather should only be used to develop estimates of relative abundance.4. Surveys were primarily conducted during fall and spring, and were designed to study open-water (pelagic) migratory waterbirds. These surveys did a poor job of capturing the presence of breeding birds and non-waterbirds, including passerines, shorebirds, and raptors.

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  20. Title: Boundary between the United States and Mexico by the International Boundary Survey under the Convention of July 29th 1882, Revived February 18th 1889. Engraved by R.F. Bartle & Co., Washington, D.C., U.S.A. No. 3 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced image of a map of the boundary between the United States and Mexico. The original map appears in "Boundary between the United States and Mexico by the International Boundary Survey under the Convention of July 29th 1882, Revived February 18th 1889. Engraved by R.F. Bartle & Co., Washington, D.C., U.S.A. No. 3." U.S. and Mexican Commissioners listed with signatures. Map in black and white and showing 20-foot contours, railroads, survey markers, landmarks, vegetation, watercourses, roads, hachures for edges of mesas, and boundary line. 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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