3,857 results returned
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Title: Sources of Wood for Charcoal in Selected Districts in Kenya, 2004
Contributors:- Polygon data
- 2005
Summary: This polygon shapefile identifies sources of wood for charcoal in selected administrative districts of Kenya, 2004. Eighty-two percent of Kenya’s charcoal comes from private land (either farmland or rangelands). In eight of the 22 surveyed Districts, more than half of the wood for charcoal comes from land owned by the charcoal producers (West Pokot, Machakos, Makueni, Mbeere, Mount Elgon, Mwingi, Bungoma, and Meru North). These producers often grow trees for other purposes (e.g., fruit, shade, boundary demarcation, or construction material) and may regularly harvest branches or rely on tree remnants for their charcoal. In Migori, Kajiado, Maragua, Uasin Gishu, and Gucha Districts more than half of the wood for charcoal comes from private land that is not owned by the charcoal producers. In many parts of these Districts, private landowners hire labor to remove vegetation on their land for charcoal. Only 18 percent of Kenya’s charcoal comes from public lands which include government land (e.g., national parks, game reserves, and forest reserves) and other land either owned communally or by a County Council. Charcoal producers in Nakuru, Nyeri, and Trans Nzoia Districts report the largest proportion of wood from government land. Removal of wood from government land for charcoal production is illegal. Among the sampled Districts, Garissa, Kilifi, and Taita Taveta provide the highest share of wood from other public lands (communal and County Council lands). County Council land is the source of 45 percent of the wood in Garissa District, and communal land is the source of 32 and 33 percent of wood in Kilifi and Taita Taveta Districts, respectively. This data was used in Map 7.5 in Nature's Benefits in Kenya: An Atlas of Ecosystems and Human Well-Being. World Resources Institute. (2005). Sources of Wood for Charcoal in Selected Districts in Kenya, 2004. World Resources Institute. Available at: http://purl.stanford.edu/hq238rr1322 Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. 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: Amphipoda Observations, Africa, 2006
Contributors:- Not specified
- 2007
Summary: This point shapefile contains distribution data for Amphipoda in Africa. Data were derived from the Coastal & Oceanic Plankton Ecology, Production & Observation Database (COPEPOD) (2006). Ocean Data and Information Network for Africa. (2007). Amphipoda Observations, Africa, 2006. Ocean Data and Information Network for Africa. Available at: https://purl.stanford.edu/fz358qb9534 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: Annelida Observations, Africa, 2006
Contributors:- Not specified
- 2007
Summary: This point shapefile contains distribution data for Annelida in Africa. Data were derived from the Coastal & Oceanic Plankton Ecology, Production & Observation Database (COPEPOD) (2006). Ocean Data and Information Network for Africa. (2007). Annelida Observations, Africa, 2006. Ocean Data and Information Network for Africa. Available at: https://purl.stanford.edu/rf999pk3202 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: Zimbabwe & Mozambique, 1897 (Raster Image)
Contributors:- Raster data
- 2012
Summary: This layer is a georeferenced raster image of the historic paper map entitled: A map of Rhodesia divided into provinces and districts under the administration of the British South Africa Company. It was published by Edward Stanford in 1897. Scale 1:1,000,000. Covers Zimbabwe, and portions of Mozambique, Malawi, South Africa, Botswana, Namibia, and Zambia.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Africa Lambert Conformal Conic projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, roads, railroads and stations, cities and other human settlements, territorial and administrative boundaries, shoreline features, post stations, selected mines and mining camps, and more. Relief shown by hachures and spot heights. Includes notes describing land, vegetation and availability of water. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
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Title: Mombasa Island : guide and map
Contributors:- Image data
- 1967
Summary: Coral reef is shown by hachures. Map shows roads, railroads. Tourist sites are listed and located. North oriented to top right. Includes text, advertisements, and photographs. "To locate any point of interest listed below reference should be made to the letter and number printed in red."
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Title: Geological map of the Union of South Africa : Geologiese kaart van die Unie van Suid Afrika
Contributors:- Not specified
- 1925
Summary: In upper margin: Department of Mines and Industries, Geological Survey.; "Cartographer, Eric H. Banks." 141 x 190 centimeters, on sheets 77 x 102 centimeters. or smaller
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Title: Plan de Dakar
Contributors:- Image data
- 1958
Summary: Map shows: district boundaries, streets with names, roads classified, railways, canals, schools, hospitals, factories, sports gardens, parks, airports. Includes indexes to streets, government agencies and city districts. Inset: Île de Gorée.
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Title: Carte des colonies de l'A.O.F Niger-Dahomey 1/500 000e
Contributors:- Not specified
- 1926
Summary: Relief shown by form lines.; Includes location map and index to adjacent sheets.; Carte de Reconnaissance.; Date de publication: Juin 1926. 60 x 80 Centimeters
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Title: Oil and Gas Wells in the United States, February 2020
Contributors:- Mixed
- 2020
Summary: This geodatabase contains a point feature class layer of oil and gas wells in the United States. This layer is from February 2020. The purpose of this file is to combine multiple oil and gas well data sources into one national file. This dataset is intended to assist users in locating and analyzing United States oil and gas field data and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Hart Energy Publishing. (2020). Oil and Gas Wells in the United States, February 2020. Hart Energy Publishing. Available at: http://purl.stanford.edu/pq479rm6462.
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Title: Oil and Gas Wells in the United States, January 2020
Contributors:- Mixed
- 2020
Summary: This geodatabase contains a point feature class layer of oil and gas wells in the United States. This layer is from January 2020. The purpose of this file is to combine multiple oil and gas well data sources into one national file. This dataset is intended to assist users in locating and analyzing United States oil and gas field data and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Hart Energy Publishing. (2020). Oil and Gas Wells in the United States, January 2020. Hart Energy Publishing. Available at: http://purl.stanford.edu/zn948fy2680.
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Title: Oil and Gas Wells in the United States, March 2019
Contributors:- Mixed
- 2019
Summary: This geodatabase contains a point feature class layer of oil and gas wells in the United States. This layer is from March 2019. The purpose of this file is to combine multiple oil and gas well data sources into one national file. This dataset is intended to assist users in locating and analyzing United States oil and gas field data and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Hart Energy Publishing. (2019). Oil and Gas Wells in the United States, March 2019. Hart Energy Publishing. Available at: http://purl.stanford.edu/tt689ns3047.
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Title: Natural Gas Utility Service Areas, San Mateo County Sea Level Rise Vulnerability Assessment Project Area, 2015
Contributors:- Polygon data
- 2019
Summary: This polygon shapefile represents natural gas utility service areas in San Mateo County, California. Source: California Energy Comission. Source Date: Feb. 24, 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 Comission. (2019). Natural Gas Utility Service Areas, San Mateo County Sea Level Rise Vulnerability Assessment Project Area, 2015. County of San Mateo Information Services Department. Available at: http://purl.stanford.edu/bs299jp0914. 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: Substations, San Mateo County Sea Level Rise Vulnerability Assessment Project, 2014
Contributors:- Point data
- 2019
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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Title: Electricity Dataset, United States, May 2019
Contributors:- Mixed
- 2019
Summary: This geodatabase contains data on electricity and power in the United States. This geodatabase contains 4 feature classes: Electric Service Territories (polygon), Electric Substations (point), Electric Transmission Lines (Line), and Power Plants (point). This database is current as of May 2019. The purpose of this file is to combine multiple oil and gas well data sources into one national file. This dataset is intended to assist users in locating and analyzing United States oil and gas field data and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Hart Energy Publishing. (2019). Electricity Dataset, United States, May 2019. Hart Energy Publishing. Available at: http://purl.stanford.edu/kn722tx1063.
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Title: Oil and Gas Wells in the United States, November 2019
Contributors:- Mixed
- 2019
Summary: This geodatabase contains a point feature class layer of oil and gas wells in the United States. This layer is from November 2019. The purpose of this file is to combine multiple oil and gas well data sources into one national file. This dataset is intended to assist users in locating and analyzing United States oil and gas field data and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Hart Energy Publishing. (2019). Oil and Gas Wells in the United States, November 2019. Hart Energy Publishing. Available at: http://purl.stanford.edu/rv035nj5561.
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Title: Refined Product Terminals, San Mateo County, 2015
Contributors:- Point data
- 2019
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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Title: Oil and Gas Wells in the United States, May 2019
Contributors:- Mixed
- 2019
Summary: This geodatabase contains a point feature class layer of oil and gas wells in the United States. This layer is from May 2019. The purpose of this file is to combine multiple oil and gas well data sources into one national file. This dataset is intended to assist users in locating and analyzing United States oil and gas field data and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Hart Energy Publishing. (2019). Oil and Gas Wells in the United States, May 2019. Hart Energy Publishing. Available at: http://purl.stanford.edu/jr112wt8361.
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Title: Electricity Dataset, United States, November 2019
Contributors:- Mixed
- 2019
Summary: This geodatabase contains data on electricity and power in the United States. This geodatabase contains 4 feature classes: Electric Service Territories (polygon), Electric Substations (point), Electric Transmission Lines (Line), and Power Plants (point) layer of oil and gas wells in the United States. This database is current as of November 2019. The purpose of this file is to combine multiple oil and gas well data sources into one national file. This dataset is intended to assist users in locating and analyzing United States oil and gas field data and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Hart Energy Publishing. (2020). Electricity Dataset, United States, November 2019. Hart Energy Publishing. Available at: http://purl.stanford.edu/xv258hm5571.
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Title: Oil and Gas Wells in the United States, February 2019
Contributors:- Mixed
- 2019
Summary: This geodatabase contains a point feature class layer of oil and gas wells in the United States. This layer is from February 2019. The purpose of this file is to combine multiple oil and gas well data sources into one national file. This dataset is intended to assist users in locating and analyzing United States oil and gas field data and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Hart Energy Publishing. (2019). Oil and Gas Wells in the United States, February 2019. Hart Energy Publishing. Available at: http://purl.stanford.edu/yf597yc0892.
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Title: Electricity Dataset, United States, Fall 2018
Contributors:- Mixed
- 2018
Summary: This geodatabase contains data on electricity and power in the United States. This geodatabase contains 4 feature classes: Electric Service Territories (polygon), Electric Substations (point), Electric Transmission Lines (Line), and Power Plants (point). This database is current as of Fall 2018. The purpose of this file is to combine multiple oil and gas well data sources into one national file. This dataset is intended to assist users in locating and analyzing United States oil and gas field data and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Hart Energy Publishing. (2018). Electricity Dataset, United States, Fall 2018. Hart Energy Publishing. Available at: http://purl.stanford.edu/wm291yb6106.