2,239 results returned
-
Title: Natural Gas Utility Service Areas, San Mateo County Sea Level Rise Vulnerability Assessment Project Area, 2015
- Polygon data
- 2019
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Refined Product Terminals, San Mateo County, 2015
- Point data
- 2019
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Substations, San Mateo County Sea Level Rise Vulnerability Assessment Project, 2014
- Point data
- 2019
- Not owned by MIT (Owned by Stanford)
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.
-
Title: PARCELS_AVIGATION
- Polygon data
- 2009
- Not owned by MIT (Owned by UC Berkeley Library)
Summary: This view shows the parcel number and client of parcels within the County of Napa that have an avigation and hazard easement deed in conjunction with the Napa County Airport.
-
Title: Oil and Gas Wells in the United States, February 2020
- Mixed
- 2020
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Oil and Gas Wells in the United States, January 2020
- Mixed
- 2020
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Electricity Dataset, United States, November 2019
- Mixed
- 2019
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Oil and Gas Wells in the United States, February 2019
- Mixed
- 2019
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Oil and Gas Wells in the United States, May 2019
- Mixed
- 2019
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Oil and Gas Wells in the United States, March 2019
- Mixed
- 2019
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Electricity Dataset, United States, May 2019
- Mixed
- 2019
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Oil and Gas Wells in the United States, November 2019
- Mixed
- 2019
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Oil and Gas Wells in the United States, Fall 2018
- Mixed
- 2018
- Not owned by MIT (Owned by Stanford)
Summary: This geodatabase contains a point feature class layer of oil and gas wells in the United States. This layer is from 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). Oil and Gas Wells in the United States, Fall 2018. Hart Energy Publishing. Available at: http://purl.stanford.edu/cw175ng2746.
-
Title: Electricity Dataset, United States, Fall 2018
- Mixed
- 2018
- Not owned by MIT (Owned by Stanford)
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.
-
Title: Electricity Dataset, United States, Fall 2017
- Mixed
- 2017
- Not owned by MIT (Owned by Stanford)
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 2017. 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. (2017). Electricity Dataset, United States, Fall 2017. Hart Energy Publishing. Available at: http://purl.stanford.edu/cw431mx5162.
-
Title: Conventional Oil and Gas Fields, United States, Winter 2016
- Point data
- 2017
- Not owned by MIT (Owned by Stanford)
Summary: This point shapefile represents conventional oil and gas fields in the United States. Data includes oil and gas field name, commodity produced, and location by U.S. state. This layer is from Winter Quarter 2016. This layer is intended to assist users in locating and analyzing oil and gas field data in the United States 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.(2016). Conventional Oil and Gas Fields, United States, Winter 2016. Hart Energy Publishing. Available at: http://purl.stanford.edu/wv650tj2501 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Shipping Fairways, Gulf of Mexico, United States, Winter 2016
- Polygon data
- 2017
- Not owned by MIT (Owned by Stanford)
Summary: This polygon shapefile represents shipping fairways in the Gulf of Mexico (United States). This layer is from Winter Quarter 2016. This layer is intended to assist users in locating and analyzing shipping fairway data in the United States 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.(2016). Shipping Fairways, Gulf of Mexico, United States, Winter 2016. Hart Energy Publishing. Available at: http://purl.stanford.edu/dg442dp8200 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Top Producing Oil and Gas Fields, United States, Winter 2016
- Point data
- 2017
- Not owned by MIT (Owned by Stanford)
Summary: This point shapefile represents top producing oil and gas fields in the United States. Data includes the commodity produced and location by U.S. state (including the Gulf of Mexico). This layer is from Winter Quarter 2016. This layer is intended to assist users in locating and analyzing oil and gas basin data in the United States 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.(2016). Top Producing Oil and Gas Fields, United States, Winter 2016. Hart Energy Publishing. Available at: http://purl.stanford.edu/hv527qr7052 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Shale Plays, North America, Winter 2016
- Polygon data
- 2017
- Not owned by MIT (Owned by Stanford)
Summary: This polygon shapefile represents shale plays in the United States and Canada. Data includes shale play name and location by country. This layer is from Winter Quarter 2016. This layer is intended to assist users in locating and analyzing shale plays data in the United States 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.(2016). Shale Plays, North America, Winter 2016. Hart Energy Publishing. Available at: http://purl.stanford.edu/jb029wd1937 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: States, North America, Winter 2016
- Polygon data
- 2017
- Not owned by MIT (Owned by Stanford)
Summary: This polygon shapefile represents states in North America (Canada, Mexico, and the United States). Data includes state name and location by country. This layer is from Winter Quarter 2016. This layer is intended to assist users in locating and analyzing state data in North America 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.(2016). States, North America, Winter 2016. Hart Energy Publishing. Available at: http://purl.stanford.edu/nm658ng9712 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.