5,723 results returned
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Title: Solar: Average Monthly and Annual Direct Normal Irradiance Data, One-Degree Resolution of the World from NASA/SSE, 1983-2005
Contributors:- Polygon data
- 2008
Summary: This polygon shapefile represents the average monthly and annual measurements (kWh/m^2/day) of solar direct normal radiation (DNI) for the entire globe. Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). This polygon shapefile represents the average monthly and annual measurements (kWh/m^2/day) of solar direct normal radiation (DNI) for the entire globe. These data are regional averages; not point data. The source data was downloaded from the Surface Meteorology and Solar Energy (SSE) website as text files. The tabular data was then converted to the shapefile format. These data are meant to provide investors and other stakeholders with reliable, verifiable and accessible information on the solar resource potential for the data domain. NASA Langley Atmospheric Sciences Data Center. (2008) Solar: Average Monthly and Annual Direct Normal Irradiance Data, One-Degree Resolution of the World from NASA/SSE, 1983-2005. NASA Available at: http://purl.stanford.edu/fd535zg0917 Spatial Extent: Global Bounding Coordinates (decimal degrees) South: -90.00, North: 90.00, West: -180.00, East: 180.00 Co-ordinate System: Geographic, Datum: WGS84, Ellipsoid: WGS84. Polygon shapefile with fields as defined belowID (mandatory) - I4, unique identifier for each polygon annual (mandatory) - R4, mean annual value in (kWh/m2/day)jan, feb, mar, apr, may, jun, jul, aug, sep, oct, nov, dec (optional) - R4, mean monthly value in (kWh/m2/day)janmin, febmin, marmin, aprmin, maymin, junmin, julmin, augmin sepmin, octmin, novmin, decmin (optional) - R4, minimum monthly mean value in (kWh/m2/day)janmax, febmax, marmax, aprmax, maymax, junmax, julmax, augmax, sepmax, octmax, novmax, decmax (optional) - R4, maximum monthly mean value in (kWh/m2/day)numyears (optional) - I4, number of years used in estimate
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Title: Solar: Average Monthly and Annual Latitude Tilt Irradiance Data, One-Degree Resolution of the World from NASA/SSE, 1983-2005
Contributors:- Polygon data
- 2008
Summary: This polygon shapefile contains monthly and annual averages of solar Latitude Tilt Irradiance data (kWh/m^2/day) compiled by NASA and SSE. These data show monthly and annual averages starting from July 1983 until June 2005. Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are regional averages; not point data. These data were created to provide investors and other stakeholders with reliable, verifiable and accessible information on the solar resource potential for the data domain. Flat-plate tilted at latitude (Tilt) products represent the solar resource available to a flat plate collector oriented due south at an angle from horizontal equal to the latitude of the collector location. This collector orientation is typical practice for PV system installation, although other orientations are also used. NASA Langley Atmospheric Sciences Data Center. (2008) Solar: Average Monthly and Annual Direct Normal Irradiance Data, One-Degree Resolution of the World from NASA/SSE, 1983-2005. NASA Available at: http://purl.stanford.edu/rn596kz1069 Spatial Extent: Global Bounding Coordinates (decimal degrees) South: -90.00, North: 90.00, West: -180.00, East:180.00 Coordinate System: Geographic, Datum: WGS84, Ellipsoid: WGS84. Polygon shapefile with fields as defined below ID (mandatory) - I4, unique identifier for each polygon annual (mandatory) - R4, mean annual value in (kWh/m2/day) jan, feb, mar, apr, may, jun, jul, aug, sep, oct, nov, dec (optional) - R4, mean monthly value in (kWh/m2/day)janmin, febmin, marmin, aprmin, maymin, junmin, julmin, augmin sepmin, octmin, novmin, decmin (optional) - R4, minimum monthly mean value in (kWh/m2/day) janmax, febmax, marmax, aprmax, maymax, junmax, julmax, augmax, sepmax, octmax, novmax, decmax (optional) - R4, maximum monthly mean value in (kWh/m2/day)numyears (optional) - I4, number of years used in estimate
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Title: Solar: Average Monthly and Annual Global Horizontal Irradiance Data, One-Degree Resolution of the World from NASA/SSE, 1983-2005
Contributors:- Polygon data
- 2008
Summary: This polygon shapefile represents the 22 year average monthly and annual measurements (kWh/m^2/day) of global horizontal irradiance (GHI) for the entire world. Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). This polygon shapefile represents the average monthly and annual measurements (kWh/m^2/day) of solar direct normal radiation (DNI) for the entire globe. These data are regional averages; not point data. The source data was downloaded from the Surface Meteorology and Solar Energy (SSE) website as text files. The tabular data was then converted to the shapefile format. To provide investors and other stakeholders with reliable, verifiable and accessible information on the solar resource potential for the data domain. Global Horizontal Irradiance (GHI) products describe the solar resource available to a flat-plate collector oriented horizontal to the earth’s surface. NASA Langley Atmospheric Sciences Data Center. (2008) Solar: Average Monthly and Annual Global Horizontal Irradiance Data, One-Degree Resolution of the World from NASA/SSE, 1983-2005. NASA Available at: http://purl.stanford.edu/xx487wn6207 Spatial Extent: Global Bounding Coordinates (decimal degrees) South: -90.00, North: 90.00, West: -180.00, East: 180.00Co-ordinate System: Geographic, Datum: WGS84, Ellipsoid: WGS84. Polygon shapefile with fields as defined belowID (mandatory) - I4, unique identifier for each polygonannual (mandatory) - R4, mean annual value in (kWh/m2/day)jan, feb, mar, apr, may, jun, jul, aug, sep, oct, nov, dec (optional) - R4, mean monthly value in (kWh/m2/day)janmin, febmin, marmin, aprmin, maymin, junmin, julmin, augmin sepmin, octmin, novmin, decmin (optional) - R4, minimum monthly mean value in (kWh/m2/day)janmax, febmax, marmax, aprmax, maymax, junmax, julmax, augmax, sepmax, octmax, novmax, decmax (optional) - R4, maximum monthly mean value in (kWh/m2/day)numyears (optional) - I4, number of years used in estimate
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Title: Wind: Monthly and Annual Average Wind GIS Data at One-Degree Resolution of the World from NASA/SSE (1983-1993)
Contributors:- Polygon data
- 2005
Summary: This polygon shapefile contains data for wind speed at 50 m above the surface of the Earth (m/s) These data are 10-year monthly and annual averages ranging from July 1983 to June 1993. The source data was downloaded from the Surface Meteorology and Solar Energy (SSE) website as text files. The tabular data was then converted to the shapefile format. This is the 5th release of these data. These data provide investors and other stakeholders with reliable, verifiable and accessible information on the solar resource potential for the data domain. NASA Langley Atmospheric Sciences Data Center. (2008) Wind: Monthly and Annual Average Wind GIS Data at One-Degree Resolution of the World from NASA/SSE (1983-1993). NASA Available at: http://purl.stanford.edu/wp386wc6721 Spatial Extent: Global Bounding Coordinates (decimal degrees) South: -90.00, North: 90.00, West: -180.00, East: 180.00Co-ordinate System: Geographic, Datum: WGS84, Ellipsoid: WGS84. Polygon shapefile with fields as defined belowID (mandatory) - I4, unique identifier for each polygonannual (mandatory) - R4, mean annual value in (kWh/m2/day)jan, feb, mar, apr, may, jun, jul, aug, sep, oct, nov, dec (optional) - R4, mean monthly value in (kWh/m2/day)janmin, febmin, marmin, aprmin, maymin, junmin, julmin, augmin sepmin, octmin, novmin, decmin (optional) - R4, minimum monthly mean value in (kWh/m2/day)janmax, febmax, marmax, aprmax, maymax, junmax, julmax, augmax, sepmax, octmax, novmax, decmax (optional) - R4, maximum monthly mean value in (kWh/m2/day)numyears (optional) - I4, number of years used in estimate
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Title: NASA Surface Meteorology and Solar Energy
Contributors:- Not specified
- 2007
Summary: A renewable energy resource web site of global meteorology and surface solar energy climatology from NASA satellite data on one by one degree resolution. NASA's Prediction of Worldwide Energy Resource (POWER) Project is developing data sets from Earth Science Enterprise climate research to support renewable energy industries. The Surface meteorology and Solar Energy (SSE) data set contains solar parameters principally derived from satellite observations and meteorology parameters from an atmospheric model constrained to satellite and sounding observations. It is a 22-year climatology (July 1983- June 2005) on a one-degree latitude by one-degree longitude grid. The global coverage of the SSE data set fills the gap where remote locations lack ground measurement data. Most ground measurement stations are located near populated regions that may have natural or urban influence on the local climate. The SSE data set can augment ground measurement data affected by microclimates. There are parameters for sizing and pointing solar panels, solar thermal applications, cloud information, temperature, humidity, and wind parameters. The SSE data are considered accurate for preliminary feasibility studies of renewable energy projects. Shapefile data downloaded from OpenEI (http://en.openei.org) on June 16, 2014. System requirements: Geographic Information Systems (GIS) software that reads ESRI shapefile format.
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Title: NASA Surface Meteorology and Solar Energy
Contributors:- Not specified
- 2007
Summary: A renewable energy resource web site of global meteorology and surface solar energy climatology from NASA satellite data on one by one degree resolution. NASA's Prediction of Worldwide Energy Resource (POWER) Project is developing data sets from Earth Science Enterprise climate research to support renewable energy industries. The Surface meteorology and Solar Energy (SSE) data set contains solar parameters principally derived from satellite observations and meteorology parameters from an atmospheric model constrained to satellite and sounding observations. It is a 22-year climatology (July 1983- June 2005) on a one-degree latitude by one-degree longitude grid. The global coverage of the SSE data set fills the gap where remote locations lack ground measurement data. Most ground measurement stations are located near populated regions that may have natural or urban influence on the local climate. The SSE data set can augment ground measurement data affected by microclimates. There are parameters for sizing and pointing solar panels, solar thermal applications, cloud information, temperature, humidity, and wind parameters. The SSE data are considered accurate for preliminary feasibility studies of renewable energy projects. Shapefile data downloaded from OpenEI (http://en.openei.org) on June 16, 2014. System requirements: Geographic Information Systems (GIS) software that reads ESRI shapefile format.
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Title: Langley's new map of Lancashire
Contributors:- Image data
- 1820
Summary: Vignette: "Liverpool." List of hundreds. Greenwich meridian. Relief shown by hachures.
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Title: World (Earthquakes, 2003)
Contributors:- Point data
- 2003
Summary: This data base provides information on earthquakes from2100 B.C. to the present. The data base containsearthquakes with known magnitude values between 0.1 and9.9. Earthquakes that have no computed magnitude values arealso included in the data base. Users of micro-earthquakedata (magnitude less than or equal to 0.0) should contactinstitutions that operate seismograph networks in theirarea of interest. In reality, there are very few eventswith magnitude less than 2.0 in the data base.
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Title: Map Of San Francisco From the Latest Surveys. Engraved Expressly For The San Francisco Directory. 1873. Lith Britton & Rey. S.F (Raster Image)
Contributors:- Not specified
- 2021
Summary: This layer is a georeferenced image of a map from the 1873 San Francisco Directory. A scanned version of this map was georeferenced as part of the Imagined San Francisco project. This project traces the history of urban planning in San Francisco, placing special emphasis on unrealized schemes. Rather than using visual material simply to illustrate outcomes, Imagined San Francisco uses historical plans, maps, architectural renderings, and photographs to show what might have been. By enabling users to layer a series of urban plans, the project presents the city not only as a sequence of material changes, but also as a contingent process and a battleground for political power. Savvy institutional actors--like banks, developers, and many public officials--understood that in some cases to clearly articulate their interests would be to invite challenges. That means that textual sources like newspapers and municipal reports are limited in what they can tell researchers about the shape of political power. Urban plans, however, often speak volumes about interests and dynamics upon which textual sources remain silent. Mortgage lenders, for example, apparently thought it unwise to state that they wished to see a poor neighborhood cleared, to be replaced with a freeway onramp. Yet visual analysis of planning proposals makes that interest plain. So in the process of showing how the city might have looked, Imagined San Francisco also shows how political power actually was negotiated and exercised. Map Of San Francisco From the Latest Surveys. Engraved Expressly For The San Francisco Directory. 1873. Lith Britton & Rey. S.F (Raster Image). (2020). Stanford University. Center for Spatial and Textual Analysis. Available at: http://purl.stanford.edu/wp123sm9381 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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Title: City And County Of San Francisco. Compiled From Official Surveys And Sectionalized In Accordance With U.S. Surveys. Drawn By V. Wackenreuder, C.E. 1861. Published By Henry G. Langley For the San Francisco Directory. Entered ... 1861 By Henry G. Langley ... California. Britton & Co. Print. (with 3 inset maps of the Farrallon Islands) (Raster Image)
Contributors:- Raster data
- 2015
Summary: This layer is a georeferenced image of a map of San Francisco County (1861). This map shows the western and southern parts of the peninsula, with the land grants, and full topography. Also shows the northern part of San Mateo County and a small part of Marin County. Three insets show the Farrallon Islands. 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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Title: Subwatershed Boundaries, California (12-digit HUC), 2013
Contributors:- Polygon data
- 2014
Summary: This polygon shapefile contains the 6th level, 12-digit hydrologic unit code (HUC) sub-watershed boundaries of California. This layer consists of georeferenced digital data and associated attributes created in accordance with the "USGS National Map Accuracy Standards and the NRCS Federal Standards for Delineation of Hydrologic Unit Boundaries, 10/01/04." The dataset was developed by digitizing watershed and subwatershed boundary lines using 1:24,000-scale digital raster graphics (DRG), high-resolution digital watershed datasets, a high-resolution National Hydrography Dataset (NHD) at 1:24,000-scale, and 1:250,000-scale draft hydrologic boundary lines. A 30-meter National Elevation Dataset (NED) was used to produce the 1:250,000-scale preliminary draft boundaries, as well as a hillshade layer for additional reference. Some draft catchments (watersheds/subwatersheds) were also created with Watershed Boundary Dataset tools (ArcHydro Tools, Version 9), using the NED for terrain analysis and the NHD for determining stream flow direction. Polygons are attributed with the following: hydrologic unit codes for 6th level subwatersheds; HU sizes (in acres); states containing the HUs; non-contributing areas; downsteam hydrologic units; 5th and 6th level names; type of HUs (standard, frontal, etc.); flow modifications; and Geographic Names Information System (GNIS) identification numbers. The subwatershed hydrologic unit boundaries provide a uniquely identified and uniform method of subdividing large drainage areas. The smaller-sized 6th level subwatersheds (up to 40,000 acres) are useful for numerous application programs supported by a variety of local, state, and federal agencies. This data set is intended to be used as a tool for water resource management and planning activities, particularly for site-specific and localized studies requiring a level of detail provided by large-scale map information. This layer is part of a larger, seamless, nationally consistent geospatial database for the watershed boundary dataset. Wyoming Geographic Information Sciences Center. (2014). Subwatershed Boundaries, California (12-digit HUC), 2013. Wyoming Geographic Information Sciences Center. Available at: http://purl.stanford.edu/dq651jm0302. The definition for a hydrologic unit according to the FGDC Proposal, Version 1.0 - Federal Standards For Delineation of Hydrologic Unit Boundaries 3/01/02 states “A hydrologic unit is a drainage area delineated to nest in a multi-level, hierarchical drainage system. Its boundaries are defined by hydrographic and topographic criteria that delineate an area of land upstream from a specific point on a river, stream or similar surface waters. A hydrologic unit can accept surface water directly from upstream drainage areas, and indirectly from associated surface areas such as remnant, non-contributing, and diversions to form a drainage area with single or multiple outlet points. Hydrologic units are only synonymous with classic watersheds when their boundaries include all the source area contributing surface water to a single defined outlet point. “ 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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Title: Watershed Boundaries, California (10-digit HUC), 2012-2013
Contributors:- Polygon data
- 2013
Summary: This polygon shapefile contains the 5th level, 10 digit hydrologic unit code (HUC) watershed boundaries in California. This layer consists of georeferenced digital data and associated attributes created in accordance with the "USGS National Map Accuracy Standards and the NRCS Federal Standards for Delineation of Hydrologic Unit Boundaries, 10/01/04." These data were developed by digitizing watershed and subwatershed boundary lines using 1:24,000-scale digital raster graphics (DRG), high-resolution digital watershed datasets, a high-resolution National Hydrography Dataset (NHD) at 1:24,000-scale, and 1:250,000-scale draft hydrologic boundary lines. A 30-meter National Elevation Dataset (NED) was used to produce the 1:250,000-scale preliminary draft boundaries, as well as a hillshade layer for additional reference. Some draft catchments (watersheds/subwatersheds) were also created with Watershed Boundary Dataset tools (ArcHydro Tools, Version 9), using the NED for terrain analysis and the NHD for determining stream flow direction. Polygons are attributed with the following: hydrologic unit codes for 5th level watersheds; HU sizes (in acres); states containing the HUs; non-contributing areas; downsteam hydrologic units; 5th and 6th level names; type of HUs (standard, frontal, etc.); flow modifications; and Geographic Names Information System (GNIS) identification numbers. This layer is part of the Watershed Boundary Dataset (WBD): a complete 1:24,000 scale digital hydrologic unit (HU) boundary layer for the 4th level subbasin (8 digit), the 5th level watershed (10 digit), and the 6th level (12-digit) subwatershed for the state of California. The watershed hydrologic unit boundaries provide a uniquely identified and uniform method of subdividing large drainage areas. This layer is intended to be used as a tool for water resource management and planning activities, particularly for site-specific and localized studies requiring a level of detail provided by large-scale map information. These data are part of a larger, seamless, nationally consistent geospatial database for the watershed boundary dataset. Wyoming Geographic Information Sciences Center. (2013). Watershed Boundaries, California (10-digit HUC), 2000-2008. Wyoming Geographic Information Sciences Center. Available at: http://purl.stanford.edu/gg725wn2951. The definition for a hydrologic unit according to the FGDC Proposal, Version 1.0 - Federal Standards For Delineation of Hydrologic Unit Boundaries 3/01/02 states “A hydrologic unit is a drainage area delineated to nest in a multi-level, hierarchical drainage system. Its boundaries are defined by hydrographic and topographic criteria that delineate an area of land upstream from a specific point on a river, stream or similar surface waters. A hydrologic unit can accept surface water directly from upstream drainage areas, and indirectly from associated surface areas such as remnant, non-contributing, and diversions to form a drainage area with single or multiple outlet points. Hydrologic units are only synonymous with classic watersheds when their boundaries include all the source area contributing surface water to a single defined outlet point. “ 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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Title: Subbasin Boundaries, California (8-digit HUC), 2012
Contributors:- Polygon data
- 2013
Summary: This polygon shapefile contains the 4th level, 8-digit hydrologic unit code (HUC) sub-basin boundaries for California. A hydrologic unit is a drainage area delineated to nest in a multi-level, hierarchical drainage system. Its boundaries are defined by hydrographic and topographic criteria that delineate an area of land upstream from a specific point on a river, stream or similar surface waters. A hydrologic unit can accept surface water directly from upstream drainage areas, and indirectly from associated surface areas such as remnant, non-contributing, and diversions to form a drainage area with single or multiple outlet points. Hydrologic units are only synonymous with classic watersheds when their boundaries include all the source area contributing surface water to a single defined outlet point. The National Cartography and Geospatial Center (NRCS) modified the National WBD dataset with the intention of creating a seamless dataset for the entire country by all 6 levels. The data is delivered by sub-basin and includes data for HUC-8, HUC-10, and HUC-12. The deliverable includes attributes for hydrologic unit codes, hydrologic unit name, downstream hydrologic unit, man-made modifications to overland flow that alter the location of the HU boundary, and HU type for each hydrologic unit level 1-6. An acres field already exists for each subwatershed.This layer consists of georeferenced digital data and associated attributes created in accordance with the "USGS National Map Accuracy Standards and the NRCS Federal Standards for Delineation of Hydrologic Unit Boundaries, 10/01/04." These data were developed by digitizing watershed and subwatershed boundary lines using 1:24,000-scale digital raster graphics (DRG), high-resolution digital watershed datasets, a high-resolution National Hydrography Dataset (NHD) at 1:24,000-scale, and 1:250,000-scale draft hydrologic boundary lines. A 30-meter National Elevation Dataset (NED) was used to produce the 1:250,000-scale preliminary draft boundaries, as well as a hillshade layer for additional reference. Some draft catchments (watersheds/subwatersheds) were also created with Watershed Boundary Dataset tools (ArcHydro Tools, Version 9), using the NED for terrain analysis and the NHD for determining stream flow direction. Polygons are attributed with the following: hydrologic unit codes for 6th level subwatersheds; HU sizes (in acres); states containing the HUs; non-contributing areas; and downsteam hydrologic units. The watershed and subwatershed hydrologic unit boundaries provide a uniquely identified and uniform method of subdividing large drainage areas. This dataset is intended to be used as a tool for water-resource management and planning activities, particularly for site-specific and localized studies requiring a level of detail provided by large-scale map information. Wyoming Geographic Information Sciences Center. (2013). Subbasin Boundaries, California (8-digit HUC), 2012. Wyoming Geographic Information Sciences Center. Available at: http://purl.stanford.edu/sr396hp9621. The definition for a hydrologic unit according to the FGDC Proposal, Version 1.0 - Federal Standards For Delineation of Hydrologic Unit Boundaries 3/01/02 states “A hydrologic unit is a drainage area delineated to nest in a multi-level, hierarchical drainage system. Its boundaries are defined by hydrographic and topographic criteria that delineate an area of land upstream from a specific point on a river, stream or similar surface waters. A hydrologic unit can accept surface water directly from upstream drainage areas, and indirectly from associated surface areas such as remnant, non-contributing, and diversions to form a drainage area with single or multiple outlet points. Hydrologic units are only synonymous with classic watersheds when their boundaries include all the source area contributing surface water to a single defined outlet point. “ 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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Title: Mexico (Municipalities, 1990)
Contributors:- Polygon data ; Point data
- 1999
Summary: Population growth is widely recognized as a key driving force behind environmental change, especially in developing countries. Improving understanding of the processes involved in population growth and the environmental and socioeconomic factors associated with it is therefore critical. Unfortunately, one barrier to better understanding has been the lack of detailed subnational data on population distribution and change and the difficulty of linking such data to environmental and other datasets that do not conform with administrative units.In recognition of this problem, the Center for International Earth Science Information Network (CIESIN) developed a population data collection for Mexico, drawing on a unique set of georeferenced population data and on Geographic Information System (GIS) technology. Mexico is of particular interest because of its rapid population growth and urbanization, diverse levels of development, growing environmental problems, and potential vulnerability to global environmental change.The Georeferenced Population Data Sets of Mexico consists of the following products: Population Database of Mexico; Urban Place, Time-Series Population Spreadsheet of Mexico; Urban Place GIS Coverage of Mexico; GIS Coverage of Mexican Localities; GIS Coverage of Mexican States; GIS Coverage of Mexican Municipalities; and Raster Based GIS Coverage of Mexican Population. Included in the collection are approximately 100,000 records of geographic and census items for Mexican states, municipalities, and localities. The geographic records consist of state boundaries, place names, geographic coordinates of more than 30,000 urban and metropolitan places, and elevation data for more than 700 urban places. The census records contain estimates of 1990 population density, population by gender, and population by age bracket (below 6 years of age, between 6 and 14 years, and older than 15 years). For 706 selected urban localities, the population is traced back by decades, from 1990 to 1921, based on census documents.
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Title: HYDRO 1K Elevation Derivative Database
Contributors:- Polygon data
- 2018
Summary: The drainage basins distributed with the HYDRO1k data set suite are derived using the vector stream networks along with the flow direction data set. Each polygon in the basin data set has been tagged with a Pfafstetter code uniquely identifying each sub-basin. A detailed description of the coding scheme can be found in Verdin. Additional attributes defining the characteristics of each sub-basin have been developed.
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Title: CalWater 2.2 Watersheds
Contributors:- Polygon data
- 2010
Summary: California Watershed Map: Version 2.2. This layer is composed of polygons at depict the boundary of the various watershed areas in Napa County.
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Title: Grayscale Alaska Shaded Relief, 200-Meter Resolution, Albers projection
Contributors:- Raster data
- 2006
Summary: The grayscale Alaska shaded relief data were derived from National Elevation Dataset (NED) data, and show the terrain of Alaska at a resolution of 200 meters. The NED is a raster product assembled by the U.S. Geological Survey, designed to provide national elevation data in a seamless form with a consistent datum, elevation unit, and projection. Data corrections made in the NED assembly process minimize artifacts, permit edge matching, and fill sliver areas of missing data. The National Atlas also includes a Lambert Azimuthal Equal Area projection shaded relief file; this file is the same data in an Albers projection. This layer is part of the 1997-2014 edition of the National Atlas of the United States. The grayscale shaded relief images were developed to portray the terrain of the United States. They are intended for visual purposes only. The original National Elevation Dataset (NED) data must be used for conducting analysis and determining elevation values. National Atlas of the United States. (2006). Grayscale Alaska Shaded Relief, 200-Meter Resolution, Albers projection. National Atlas of the United States. Available at: http://purl.stanford.edu/np649pb5860. The associated world file is included as part of the GeoTIFF. The contents of the world file are: >200.0000 >0.000000 >0.000000 >-200.0000 >-3390900.0000 >2449900.0000 The following projection file can be used when using ESRI's ArcGIS to view the GeoTIFF (any line breaks should be removed): PROJCS["Albers_NAD_1983_Alaska",GEOGCS["GCS_North_American_1983", DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0, 298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree", 0.0174532925199433]],PROJECTION["Albers"],PARAMETER ["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER ["Central_Meridian",-154.0],PARAMETER["Standard_Parallel_1",55.0], PARAMETER["Standard_Parallel_2",65.0],PARAMETER ["Latitude_Of_Origin",50.0],UNIT["Meter",1.0]] 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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Title: Grayscale Hawaii Shaded Relief - 200-Meter Resolution, Albers projection
Contributors:- Raster data
- 2005
Summary: The grayscale Hawaii shaded relief data were derived from National Elevation Dataset (NED) data, and show the terrain of Hawaii at a resolution of 200 meters. The NED is a raster product assembled by the U.S. Geological Survey, designed to provide national elevation data in a seamless form with a consistent datum, elevation unit, and projection. Data corrections made in the NED assembly process minimize artifacts, permit edge matching, and fill sliver areas of missing data. The National Atlas also includes a Lambert Azimuthal Equal Area projection shaded relief file; this file is the same data in an Albers projection. This layer is part of the 1997-2014 edition National Atlas of the United States. The grayscale shaded relief images were developed to portray the terrain of the United States. They are intended for visual purposes only. The original National Elevation Dataset (NED) data must be used for conducting analysis and determining elevation values. National Atlas of the United States. (2005). Grayscale Hawaii Shaded Relief - 200-Meter Resolution, Albers projection. National Atlas of the United States. Available at: http://purl.stanford.edu/zz896gs8547. The associated world file is included as part of the GeoTIFF. The contents of the world file are: >200.0000 >0.000000 >0.000000 >-200.0000 >-402900.0000 >2164900.0000 The following projection file can be used when using ESRI's ArcGIS to view the GeoTIFF (any line breaks should be removed): PROJCS["Albers_NAD_1983_Hawaii",GEOGCS["GCS_North_American_1983", DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0, 298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree", 0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting", 0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",- 157.0],PARAMETER["Standard_Parallel_1",8.0],PARAMETER ["Standard_Parallel_2",18.0],PARAMETER["Latitude_Of_Origin", 3.0],UNIT["Meter",1.0]] 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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Title: Grayscale Puerto Rico and the U.S. Virgin Islands Shaded Relief 200- Meter Resolution, Albers projection
Contributors:- Raster data
- 2005
Summary: The grayscale Puerto Rico and U.S. Virgin Islands shaded relief data were derived from National Elevation Dataset (NED) data, and show the terrain of Puerto Rico and U.S. Virgin Islands at a resolution of 200 meters. The NED is a raster product assembled by the U.S. Geological Survey, designed to provide national elevation data in a seamless form with a consistent datum, elevation unit, and projection. Data corrections made in the NED assembly process minimize artifacts, permit edge matching, and fill sliver areas of missing data. The National Atlas also includes a Lambert Azimuthal Equal Area projection shaded relief file; this file is the same data in an Albers projection. This layer is part of the 1997-2014 edition National Atlas of the United States. The grayscale shaded relief images were developed to portray the terrain of the United States. They are intended for visual purposes only. The original NED data must be used for conducting analysis and determining elevation values. National Atlas of the United States. (2005). Grayscale Puerto Rico and the U.S. Virgin Islands Shaded Relief 200- Meter Resolution, Albers projection. National Atlas of the United States. Available at: http://purl.stanford.edu/vb513xp0680. The associated world file is included as part of the GeoTIFF. The contents of the world file are: >200.0000 >0.000000 >0.000000 >-200.0000 >-195900.0000 >437900.0000 The following projection file can be used when using ESRI's ArcGIS to view the GeoTIFF (any line breaks should be removed): PROJCS["Albers_NAD_1983_PRVI",GEOGCS["GCS_North_American_1983", DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0, 298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree", 0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting", 0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",- 66.5],PARAMETER["Standard_Parallel_1",8.0],PARAMETER ["Standard_Parallel_2",18.0],PARAMETER["Latitude_Of_Origin",15.0], UNIT["Meter",1.0]] 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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Title: Grayscale Conterminous United States Shaded Relief, 200-Meter Resolution, Albers projection
Contributors:- Raster data
- 2005
Summary: The grayscale conterminous United States shaded relief data were derived from National Elevation Dataset (NED) data, and show the terrain of the conterminous United States at a resolution of 200 meters. The NED is a raster product assembled by the U.S. Geological Survey, designed to provide national elevation data in seamless form with a consistent datum, elevation unit, and projection. Data corrections made in the NED assembly process minimize artifacts, permit edge matching, and fill sliver areas of missing data. The National Atlas also includes a Lambert Azimuthal Equal Area projection shaded relief file; this file is the same data in an Albers projection. This layer is part of the 1997-2014 edition National Atlas of the United States. The grayscale shaded relief images were developed to portray the terrain of the United States. They are intended for visual purposes only. The original National Elevation Dataset (NED) data must be used for conducting analysis and determining elevation values. National Atlas of the United States. (2005). Grayscale Conterminous United States Shaded Relief, 200-Meter Resolution, Albers projection. National Atlas of the United States. Available at: http://purl.stanford.edu/jb375gc5613. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.