5,325 results returned
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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: 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: 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: Breeding Bird Survey Route Locations for Lower 48 States, 1966-1998
Contributors:- Line data
- 1999
Summary: This line shapefile portrays the current routes used for conducting Breeding Bird Surveys in the lower 48 States. This layer is part of the 1997-2014 edition of the National Atlas of the United States. The digital data sets are used to create electronic and hard copy maps of the breeding bird survey routes. The data can be used to conduct geographic analysis on national and large regional scales. The data should be displayed and analyzed at scales appropriate for 1:100,000-scale data. Patuxent Wildlife Research Center. (1999). Breeding Bird Survey Route Locations for Lower 48 States, 1966-1998. National Atlas of the United States. Available at: http://purl.stanford.edu/vy474dv5024. For a description of the Breeding Bird Survey methods see Robbins, C.S. and W.T. Van Velzen; 1967; The Breeding Bird Survey, 1966; USDOI Migratory Bird Populations Station, Special Scientific Report--Wildlife No. 102; Washington, DC. ArcInfo and ArcView are products of Environmental Systems Research Institute, Inc. (ESRI), 380 New York Street, Redlands, CA 92373. Reference to ESRI products is for information purposes only and does not constitute endorsement by the U.S. Geological Survey. This map layer was collected using a different roads file from that available through the National Atlas of the United States, so there may be positional differences between the two map layers. None. Acknowledgment of the National Atlas of the United States of America and (or) the U.S. Geological Survey Patuxent Wildlife Research Center would be appreciated in products derived from these data. 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: 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: Breeding Bird Survey Route, New York State, 1998
Contributors:- Line data
- 1999
Summary: This data set portrays the current routes used for conducting Breeding Bird Surveys in New York State. This data set was collected using a different roads file from that available through the National Atlas of the United States. The digital data sets are used to create electronic and hard copy maps of the Breeding Bird Survey routes. The data can be used to conduct geographic analysis on national and large regional scales. The data should be displayed and analyzed at scales appropriate for 1:100,000-scale data. No responsibility is assumed by the U.S. Geological Survey or by USGS Patuxent Wildlife Research Center in the use of these data.
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Title: Grave Reform in Modern China
Contributors:- Not specified
- 2018
- Mullaney, Tom
- Henriot, Christian
- Snyder-Reinke, Jeffrey, 1969-
- Stanford University. Center for Interdisciplinary Digital Research
Summary: Grave Reform in Modern China is a digital humanities initiative based at Stanford that is building an interactive spatial and textual analysis platform to examine the phenomenon of grave relocation in modern China, a campaign that has led to the exhumation and reburial of 10 million corpses in the past decade alone, and has transformed China’s graveyards into sites of acute personal, social, political, and economic contestation.
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Title: Amphibians, New York State, 2000
Contributors:- Polygon data
- 2000
- Priya Nanjappa, USGS Patuxent Wildlife Research Center
- Laura (Leininger) Blackburn, Ball State University
- Dr. Michael J. Lannoo, Ph.D., Indiana University School of Medicine
Summary: This data set portrays the distribution of 10 selected amphibians in New York State, based on historical literature and museum records from current and historical sources. The amphibians included are northern cricket frog, American toad, Cope's gray treefrog, gray treefrog, eastern newt, eastern red-backed salamander, northern two-lined salamander, mudpuppy, western lesser siren, and spring peeper. These data are intended for geographic display and analysis at the national level, and for large regional areas. The data should be displayed and analyzed at scales appropriate for 1:2,000,000-scale data. No responsibility is assumed by the U.S. Geological Survey in the use of these data.
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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: Land in farms, 1964, in percent
Contributors:- Thematic maps
- 1970
Summary: Includes ancillary map Types of farming. Computer generated isopleth map obtained through use of the facilities of Indiana University's Research Computer Center. Detached from: An atlas of Indiana / by Robert C. Kingsbury , with contributions from John M. Hollingsworth and others. Bloomington, Indiana : Department of Geography, Indiana University, [1970]. Page 60. Imprint: Bloomington, Indiana : Department of Geography, Indiana University, [1970] Dimensions: 23 x 18 cm; Scale: Approximately 1:2,700,000
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Title: Average annual temperature in degrees Fahrenheit
Contributors:- Thematic maps
- 1970
Summary: Computer generated isometric map obtained through use of the facilities of Indiana University's Research Computer Center. ASCII-art map created using SYMAP or similar technique. Detached from: An atlas of Indiana / by Robert C. Kingsbury , with contributions from John M. Hollingsworth and others. Bloomington, Indiana : Department of Geography, Indiana University, [1970]. Page 24. Imprint: Bloomington, Indiana : Department of Geography, Indiana University, [1970] Dimensions: 26 x 18 cm; Scale: Approximately 1:1,950,000
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Title: National Waterway Network
Contributors:- Line data
- 2001
Summary: The National Waterway Network is a comprehensive network database of the nation's navigable waterways. The data set covers the 48 contiguous States plus the District of Columbia, Hawaii, Alaska, Puerto Rico and water links between. The nominal scale of the data set varies with the source material. The majority of the information is at 1:100,000 with larger scales used in harbor/bay/port areas and smaller scales used in open waters.
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Title: National Waterway Network Nodes
Contributors:- Point data
- 2001
Summary: The National Waterway Network is a comprehensive network database of the nation's navigable waterways. The data set covers the 48 contiguous States plus the District of Columbia, Hawaii, Alaska, Puerto Rico and water links between. Waterway Network Nodes may represent physical entities such as river confluences, ports/facilities, and intermodal terminals, US Army Corps of Engineers (USACE nodes), or may be inserted for analytical purposes. Approximately 224 USACE ports are geo-coded in the node database.
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Title: Railroads and the making of modern America
Contributors:- Not specified
- 1800
- Thomas, William G, 1964-
- University of Nebraska--Lincoln Center for Digital Research in the Humanities
Summary: "[This site] explores the dynamic social change that came between 1850 and 1900 with the growth of railroads, telegraphs, steam ships and other technologies. It concentrates on the railroad network, and explores how the railroad's expansion and development brought profound economic, social, and political changes." Title from home page (viewed June 3, 2009). This collection includes shapefile data representing railroad networks in the United States from 1840 to 1870. Mode of access: World Wide Web.