50 datasets found
  1. Class-3-Combustible

    • data.ca.gov
    • gis.data.ca.gov
    • +1more
    html
    Updated Feb 6, 2020
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    California Department of Toxic Substances Control (2020). Class-3-Combustible [Dataset]. https://data.ca.gov/dataset/class-3-combustible
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    htmlAvailable download formats
    Dataset updated
    Feb 6, 2020
    Dataset provided by
    California Department of Toxic Substances Control
    Description

    Hazard Class 3: Class 3 hazards are flammable liquids. These liquids include paints, alcohols, gasoline, kerosene and ethanol, and are recognized by red “flammable liquids” placards with the hazard class No. 3 at the bottom, and a flammable liquid graphic at the top.

  2. California Power Plants

    • gis.data.ca.gov
    • data.ca.gov
    • +10more
    Updated Dec 27, 2017
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    California Energy Commission (2017). California Power Plants [Dataset]. https://gis.data.ca.gov/datasets/CAEnergy::california-power-plants/api
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    Dataset updated
    Dec 27, 2017
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Area covered
    Description

    The power plant locations and characteristics are part of the California Energy Commission’s (CEC) California Energy Infrastructure geospatial data sets. The data is derived from the CEC’s QFER-1304 Power Plant Owner Reporting Database and is updated annually. Among other information, a number of identifying attributes are given for each power plant as well as the generator units at each plant, their energy type, the total nameplate capacity, and their owners and operators.

    This California Power Plants data set has identical information to the many tables making up the QFER data set, however this single feature layer is derived by condensing several QFER tables into one. Some fields of the original tables have been omitted, and point geometries, determined by each plants’ address fields, have been appended for geospatial display. Four new fields have been compiled from QFER’s Annual Generation Table. These are listed and defined as:Nameplate Capacity (MW): The total nameplate capacity from every unit that makes up the power plant, regardless of status Units: List of the unit names at each power plant Primary Energy Source: A list of the primary energy sources used by every generator at the plantLast Reported Year: The last year that the power plant was recorded in the Annual Generation Table.Primary Energy Source Descriptions: Source Type Description

    AB Biomass Agriculture Crop Byproducts/Straw/Energy Crops

    BAT Battery Battery Storage - not to be counted as a primary fuel/energy source

    BFG Natural Gas Blast Furnace Gas

    BIT Coal Bituminous Coal

    BLQ Biomass Black Liquor

    COL Coal Anthracite Coal

    DFO Oil Distillate Fuel Oil (includes all Diesel and No. 1, No. 2, and No. 4 Fuel Oils)

    GAS Oil Gasoline

    GEO Geothermal Geothermal

    JF Oil Jet Fuel

    KER Oil Kerosene

    LFG Biomass Landfill Gas

    LIG Coal Lignite Coal

    LWAT Large Hydro Large Hydro

    MSW Biomass Municipal Solid Waste

    N/A Unspecified Other, non-specified

    NA Unspecified Not Available

    NG Natural Gas Natural Gas (Methane - Pipeline Weighted National Average w/ HHV 1,050 Btu/scf)

    NUC Nuclear Nuclear (Uranium, Plutonium, Thorium)

    OBG Biomass Other Biomass Gases (Digester Gas, Methane, and other biomass gases)

    OBL Biomass Other Biomass Liquid (Ethanol, Fish Oil, Liquid Acetonitrile Waste, Medical Waste, Tall Oil, Waste Alcohol, and other Biomass not specified)

    OBS Biomass Other Biomass Solid (Animal Manure and Waste, Solid Byproducts, and other solid biomass not specified)

    OG Natural Gas Other Gas (Butane, Coal Processes, Coke-Oven, Refinery, and other processes)

    OGW Biomass Other gases, waste products

    OIL Oil Non-specified oil products, may include distillate fuel oil

    OTH Other Other (Batteries, Chemicals, Coke Breeze, Hydrogen, Pitch, Sulfur, Tar Coal, and miscellaneous technologies)

    PC Petroleum Coke Petroleum Coke (Solid)

    PG Natural Gas Propane

    PUR Other Purchased Steam

    RFO Oil Residual Fuel Oil (includes No. 5 and No. 6 Fuel Oils and Bunker C Fuel Oil)

    SC Coal Coal-based Synfuel and include briquettes, pellets, or extrusions, which are formed by binding materials and processes that recycle material

    SLW Biomass Sludge Waste (Waste Oil blended with Residual Fuel Oil)

    SUB Coal Sub-bituminous Coal

    SUN Solar Solar (Photovoltaic, Thermal)

    SWAT Small Hydro Small Hydro, Eligible Hydroelectric for RPS

    TDF Biomass Tires

    UNK Unspecified Other, non specified

    UNSP Unspecified Unspecified

    WAT Hydro (Large and Small) Water (Conventional, Pumped Storage)

    WC Coal Waste/Other Coal (Anthracite Culm, Bituminous Gob, Fine Coal, Lignite Waste, Waste Coal)

    WDL Biomass Wood Waste Liquids (Red Liquor, Sludge Wood, Spent Sulfite Liquor, and other wood related liquids not

    WDS Biomass Wood/Wood Waste Solids (Paper Pellets, Railroad Ties, Utility Poles, Wood Chips, and other wood solids)

    WH Waste Heat Waste Heat

    WND Wind Wind

    WO Oil Oil-Other and Waste Oil (Butane (Liquid), Crude Oil, Liquid Byproducts, Oil Waste, Propane (Liquid), Re-refined The purpose of this feature layer is to:Support the CEC/Energy Assessments Division/Supply Analysis Office in electric generation report;Support the CEC/REAT by providing information on renewable power plant location and capacity;Support the CEC/STEP/Engineering Office/Geo Science in water management report;Support CEC/STEP/Siting Office, Compliance Office, Environmental Office, Engineering Office, and /Strategic Transmission Planning and Corridor Designation Office by providing information on power plant location, capacity, fuel type, operational status, CEC docket id, etc. Support the CEC/STEP/Strategic Transmission Planning and Corridor Designation Office in corridor study and transmission line siting; Support the CEC staff's various analysis by providing general geographic reference information;Enhance communication between government agencies on emergency management, resource management, economic development, and environmental study;Provide illustration of critical infrastructure spatial data to the public or other agencies

  3. v

    Cloud Liquid Water Imagery Services from NASA GIBS

    • anrgeodata.vermont.gov
    • amerigeo.org
    • +4more
    Updated Nov 18, 2021
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    AmeriGEOSS (2021). Cloud Liquid Water Imagery Services from NASA GIBS [Dataset]. https://anrgeodata.vermont.gov/maps/0387dc22061a4e1fbb3d444f8e86188e
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    Dataset updated
    Nov 18, 2021
    Dataset authored and provided by
    AmeriGEOSS
    Area covered
    Description

    The Global Imagery Browse Services (GIBS) system is a core EOSDIS component which provides a scalable, responsive, highly available, and community standards based set of imagery services. These services are designed with the goal of advancing user interactions with EOSDIS’ inter-disciplinary data through enhanced visual representation and discovery.GIBS Available Imagery ProductsThe GIBS imagery archive includes approximately 1000 imagery products representing visualized science data from the NASA Earth Observing System Data and Information System (EOSDIS). Each imagery product is generated at the native resolution of the source data to provide "full resolution" visualizations of a science parameter. GIBS works closely with the science teams to identify the appropriate data range and color mappings, where appropriate, to provide the best quality imagery to the Earth science community. Many GIBS imagery products are generated by the EOSDIS LANCE near real-time processing system resulting in imagery available in GIBS within 3.5 hours of observation. These products and others may also extend from present to the beginning of the satellite mission. In addition, GIBS makes available supporting imagery layers such as data/no-data, water masks, orbit tracks, and graticules to improve imagery usage.The GIBS team is actively engaging the NASA EOSDIS Distributed Active Archive Centers (DAACs) to add more imagery products and to extend their coverage throughout the life of the mission. The remainder of this page provides a structured view of the layers currently available within GIBS grouped by science discipline and science observation. For information regarding how to access these products, see the GIBS API section of this wiki. For information regarding how to access these products through an existing client, refer to the Map Library and GIS Client sections of this wiki. If you are aware of a science parameter that you would like to see visualized, please contact us at support@earthdata.nasa.gov. https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+Available+Imagery+Products#expand-AerosolOpticalDepth29ProductsNASA GIS API for Developers https://wiki.earthdata.nasa.gov/display/GIBS/GIBS+API+for+Developers

  4. a

    Liquid Waste Transporter Electronic Manifest Listing: Septage, Stormwater...

    • hub.arcgis.com
    • gis-mdc.opendata.arcgis.com
    Updated Jan 3, 2025
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    Miami-Dade County, Florida (2025). Liquid Waste Transporter Electronic Manifest Listing: Septage, Stormwater and Other Non-Hazard Waste [Dataset]. https://hub.arcgis.com/datasets/f6c7074a8fda4bed9d68dc02b0a1c1ad
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Reported data for Liquid Waste Transporter Electronic Manifest Listing: Septage, Stormwater and Other Non-Hazard Waste

  5. Liquid Fuel Refineries

    • researchdata.edu.au
    • datadiscoverystudio.org
    Updated 2012
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    Kay, R.; Carter, L; Kay, R.; Carter, L (2012). Liquid Fuel Refineries [Dataset]. http://doi.org/10.4225/25/543B52337A516
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    Dataset updated
    2012
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Authors
    Kay, R.; Carter, L; Kay, R.; Carter, L
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset contains the spatial locations of Liquid Fuel Refineries in Australia.

  6. a

    NPMS Pipelines

    • hub.arcgis.com
    • open-data-stancounty-gis.hub.arcgis.com
    Updated Jul 31, 2024
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    Stanislaus County (2024). NPMS Pipelines [Dataset]. https://hub.arcgis.com/maps/stancounty-gis::npms-pipelines
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    Dataset updated
    Jul 31, 2024
    Dataset authored and provided by
    Stanislaus County
    Area covered
    Description

    The National Pipeline Mapping System (NPMS) includes a geographic information system (GIS) dataset containing the location and selected attributes of gas transmission and hazardous liquid pipelines, liquefied natural gas (LNG) plants and breakout tanks (BOT) under jurisdiction of the Pipeline and Hazardous Materials Safety Administration (PHMSA). Effective October 1, 2015, pipeline and LNG plant data is collected annually from pipeline operators as required by 49 CFR §§ 191.29 and 195.61. This metadata is for the national pipeline dataset. There is NPMS pipeline data for all 50 states as well as the District of Columbia and Puerto Rico. The NPMS pipeline dataset contains gas transmission and hazardous liquid pipelines subject to regulations from PHMSA. The NPMS pipeline dataset does not contain gas gathering, gas distribution, or hazardous liquid lines not subject to 49 CFR § 195.61 and can never be used in place of contacting a one call center prior to digging. Distribution of NPMS data in GIS format is handled for PHMSA by the National Repository and is limited to pipeline operators and local, state, tribal, and federal government officials and is subject to data access limitations and agreements. Fulfillments of data requests will include data only for the area of jurisdiction of the person requesting the data (data requests are fulfilled per county/counties, state, or the entire U.S.). Instructions for requesting NPMS data in a GIS format are outlined on the NPMS website at www.npms.phmsa.dot.gov.

  7. 12 - Fluid Earth: winds and currents - Esri GeoInquiries™ collection for...

    • hub.arcgis.com
    • geoinquiries-education.hub.arcgis.com
    Updated Apr 9, 2015
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    Esri GIS Education (2015). 12 - Fluid Earth: winds and currents - Esri GeoInquiries™ collection for Earth Science [Dataset]. https://hub.arcgis.com/documents/90bd06f031f2430eba157f3c15d8e32d
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    Dataset updated
    Apr 9, 2015
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri GIS Education
    Area covered
    Earth
    Description

    THE EARTH SCIENCE GEOINQUIRY COLLECTION

    http://www.esri.com/geoinquiries

    To support Esri’s involvement in the White House ConnectED Initiative, GeoInquiry instructional materials using ArcGIS Online for Earth Science education are now freely available.

    The Earth Science GeoInquiry collection contains 15 free, web-mapping activities that correspond and extend map-based concepts in leading middle school Earth science textbooks. The activities, developed with GISetc of Dallas, TX use a standard inquiry-based instructional model, require only 15 minutes for a teacher to deliver, and are device agnostic. The activities harmonize with the Next Generation Science Standards. Activity topics include:

    Teachers, GeoMentors, and administrators can learn more at http://www.esri.com/geoinquiries

  8. Data from: Aquifer Sensitivity

    • catalog.newmexicowaterdata.org
    • data-nmenv.opendata.arcgis.com
    • +1more
    csv, html, zip
    Updated Jul 22, 2024
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    New Mexico Environment Department (2024). Aquifer Sensitivity [Dataset]. https://catalog.newmexicowaterdata.org/dataset/aquifer-sensitivity
    Explore at:
    csv, zip, htmlAvailable download formats
    Dataset updated
    Jul 22, 2024
    Dataset provided by
    New Mexico Environment Departmenthttp://www.env.nm.gov/
    Description

    NMED is mapping areas where waters of the state may be vulnerable to contamination from septic tank discharges, and where stricter standards may be imposed. Aquifer sensitivity maps prepared for NMED by Lee Wilson and Associates in 1989 have been digitized and are a data layer in the online Liquid Waste Geographic Information System (GIS). The tab for GIS data layers is near the upper right corner, the buttons for zoom in/out and other functions are on the left, aquifer sensitivity maps are under Geology/Landcover. The Lee Wilson maps are being updated and modified to include current depth-to-ground-water information, as well as areas of karst and fractured bedrock, known contamination sites, and gaining streams. These maps also can be downloaded as bitmap and gif files (Table 1). The maps contain color-coded groundwater areas based on depth to water and naturally occurring, background, total dissolved solids (TDS) as explained in Table 2. Areas with ground water less than 100 feet deep, and with 2000 mg/L or less TDS, are mapped in red. Other areas of concern based on karst or fractured bedrock, known ground-water contamination, and gaining streams impacted by septic tank effluent, are also being mapped.

  9. Filtered global GEBCO 2014 bathymetry/topography

    • figshare.com
    bin
    Updated Jun 1, 2023
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    Alexandros Avdis (2023). Filtered global GEBCO 2014 bathymetry/topography [Dataset]. http://doi.org/10.6084/m9.figshare.7094021.v3
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    binAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Authors
    Alexandros Avdis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Filtered global GEBCO 2014 bathymetry/topography raster, intended for qmesh tutorials.

  10. Late IMERG 3-hour GIS-formatted

    • pps.gsfc.nasa.gov
    Updated Apr 28, 2023
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    NASA Global Precipitation Measurement (GPM) Mission (2023). Late IMERG 3-hour GIS-formatted [Dataset]. http://doi.org/10.25966/68p1-0z50
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    Dataset updated
    Apr 28, 2023
    Dataset provided by
    NASAhttp://nasa.gov/
    GES DISC
    Time period covered
    Jun 1, 2000 - Present
    Description

    This dataset provides, in a GIS-friendly format, the surface precipitation estimates and precipitation-phase information covering 3-hour periods at 0.1-degree resolution from April 2000 to approximately 8 hours in the past. The parent of this GIS product is the 30-minute Late IMERG HDF5 near real-time data product. This GIS product is a zip file that contains two-byte TIFF files accompanied by ESRI WorldFile metadata. The TIFF files contain either scaled units of precipitation accumulation (millimeters), scaled units of precipitation rate (millimeters per hour), or the percent likelihood that 100% of the precipitation in a particular grid box fell as liquid or mixed phase precipitation (i.e., not 100% solid-phase precipitation). The grid covers the entire Earth, 90S to 90N and 180W to 180E although precipitation is rarely estimated near the poles.

  11. g

    Liquid Natural Gas Terminals, US EPA Region 9, 2011, Pipeline and Hazardous...

    • gimi9.com
    + more versions
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    Liquid Natural Gas Terminals, US EPA Region 9, 2011, Pipeline and Hazardous Materials Safety Administration | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_8976c646bb6c70e6861c8ed3395cca2204f053e6
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The National Pipeline Mapping System (NPMS) is a geographic information system (GIS) created by the U.S. Department of Transportation, Pipeline and Hazardous Materials Safety Administration (PHMSA), Office of Pipeline Safety (OPS) in cooperation with other federal and state governmental agencies and the pipeline industry. The NPMS consists of geospatial data, attribute data, public contact information, and metadata pertaining to the interstate and intrastate hazardous liquid trunklines and hazardous liquid low-stress lines as well as gas transmission pipelines, liquefied natural gas (LNG) plants, and hazardous liquid breakout tanks jurisdictional to PHMSA.

  12. j

    Soils

    • gis.jacksoncountyor.gov
    • gis-jcgis.opendata.arcgis.com
    Updated Sep 8, 2015
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    Jackson County GIS (2015). Soils [Dataset]. https://gis.jacksoncountyor.gov/datasets/JCGIS::soils/about
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    Dataset updated
    Sep 8, 2015
    Dataset authored and provided by
    Jackson County GIS
    Area covered
    Description

    USSOILS is an Arc 7.0 coverage containing hydrology-relevant information for 10,498 map units covering the entire conterminous United States. The coverage was compiled from individual State coverages contained in the October 1994 State Soil Geographic (STATSGO) Data Base produced on CD-ROM. The geo-dataset USSOILS.PAT relates (on the basis of a map unit identifier) the 10,498 map units to 78,518 polygons. The scale of the geo-dataset is 1:250,000. The INFO attribute table USSOILS.MUID_ATTS contains selected variables from the STATSGO data set for 10,501 map units (an extra 3 map units are contained in the attribute table that are not in the geo-dataset - see the 'Procedures' section below), including: the map unit identifier, a 2-character state abbreviation, available water capacity of the soil, percent clay in the soil, the actual k-factor used in the water erosion component of the universal soil loss equation, the organic material in soil, soil permeability, cumulative thickness of all soil layers, hydrologic characteristics of the soil, quality of drainage, surface slope, liquid limit of the soil, share of a map unit having hydric soils, and the annual frequency of flooding. To facilitate mapping the attribute data, the narrative section below contains instructions for transferring the information contained in the attribute table USSOILS.MUID_ATTS to the polygon attribute table USSOILS.PAT. Keywords STATSGO United States Soil Water Capacity Clay Organic material Permeability Infiltration Drainage Hydric Flood frequency Slope 17,234 records in attribute table on 6-26-09.

  13. Final IMERG 24-hour GIS-formatted

    • pps.gsfc.nasa.gov
    Updated Apr 28, 2023
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    Final IMERG 24-hour GIS-formatted [Dataset]. https://pps.gsfc.nasa.gov/Documents/V07/doi/3IMERGHH_GIS_1DAY_V07.html
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    Dataset updated
    Apr 28, 2023
    Dataset provided by
    NASAhttp://nasa.gov/
    GES DISC
    Time period covered
    Jun 1, 2000 - Present
    Description

    This dataset provides, in a GIS-friendly format, the surface precipitation estimates and precipitation-phase information covering 24-hour periods at 0.1-degree resolution from April 2000 to a few months before the present. The parent of this GIS product is the half-hour Final IMERG HDF5 data product. This GIS product is a zip file that contains two-byte TIFF files accompanied by ESRI WorldFile metadata. The TIFF files contain either scaled units of precipitation accumulation (millimeters), scaled units of precipitation rate (millimeters per hour), or the percent likelihood that 100% of the precipitation in a particular grid box fell as liquid or mixed phase precipitation (i.e., not 100% solid-phase precipitation). The grid covers the entire Earth, 90S to 90N and 180W to 180E although precipitation is rarely estimated near the poles.

  14. f

    Data from: The Ionothermal Synthesis of Cobalt Aluminophosphate Zeolite...

    • acs.figshare.com
    txt
    Updated Jun 2, 2023
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    Emily R. Parnham; Russell E. Morris (2023). The Ionothermal Synthesis of Cobalt Aluminophosphate Zeolite Frameworks [Dataset]. http://doi.org/10.1021/ja057933l.s001
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    txtAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    ACS Publications
    Authors
    Emily R. Parnham; Russell E. Morris
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Ionothermal synthesis, the use of an ionic liquid as both solvent and structure-directing agent, has been used to synthesize three different cobalt aluminophosphate zeolites. Two of the materials are isostructural with solids prepared previously and have the AEI and SOD framework types. SIZ-7 is a novel zeolite structures that is closely related to the family of 8-ring zeolites consisting of the MER, GIS, and PHI frameworks. Single-crystal X-ray diffraction of SIZ-7 indicates that the distribution of cobalt among the four possible tetrahedral sites is unequal.

  15. a

    Annual PM2.5 Grids from MODIS-New Zealand

    • hub.arcgis.com
    • sdgs-uneplive.opendata.arcgis.com
    Updated May 7, 2018
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    UN Environment, Early Warning &Data Analytics (2018). Annual PM2.5 Grids from MODIS-New Zealand [Dataset]. https://hub.arcgis.com/maps/edd1bffe838442d6ab4fbb4c1311598f
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    Dataset updated
    May 7, 2018
    Dataset authored and provided by
    UN Environment, Early Warning &Data Analytics
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) data sets represent a series of three-year running mean grids (1998-2012) of fine particulate matter (solid particles and liquid droplets) that were derived from a combination of MODIS (Moderate Resolution Imaging Spectroradiometer), MISR (Multi-angle Imaging SpectroRadiometer) and SeaWIFS (Sea-Viewing Wide Field-of-View Sensor) AOD satellite retrievals. Together the grids provide a continuous surface of concentrations in micrograms per cubic meter of particulate matter 2.5 micrometers or smaller (PM2.5) for health and environmental research. For each satellite-derived PM2.5 source, the total column retrievals of AOD were converted to near-ground PM2.5 levels using the GEOS-Chem chemical transport model to represent local relationships between AOD and PM2.5. A global decadal (2001-2010) mean PM2.5 concentration grid was also produced. The raster grids have a grid cell resolution of 6 arc-minutes (0.1 degree or approximately 10 km at the equator) and cover the global land surface from 70 degrees north to 55 degrees south. Compared to SEDAC’s earlier data set, Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth (AOD), v1 (2001-2010), this data set provides higher accuracy; longer temporal range; higher resolution (0.1 x 0.1 degrees); and time varying AOD to PM2.5 relationships, necessary for appropriate representation of trends. This data was published in 2015.Source: CIESIN

  16. a

    Hydrocarbon Gas Liquid Pipelines

    • azgeo-data-hub-agic.hub.arcgis.com
    • share-open-data-njtpa.hub.arcgis.com
    • +4more
    Updated Jun 25, 2024
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    GeoPlatform ArcGIS Online (2024). Hydrocarbon Gas Liquid Pipelines [Dataset]. https://azgeo-data-hub-agic.hub.arcgis.com/datasets/geoplatform::hydrocarbon-gas-liquid-pipelines-1
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    Dataset updated
    Jun 25, 2024
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Major hydrocarbon gas liquids (HGL) pipelines in the United States and selected HGL pipelines in Canada. This data includes interstate trunk lines and selected intrastate lines. Based on publicly available data from a variety of sources (including company websites and media reports) with varying scales and levels of accuracy. Updated January 2020.

  17. a

    National Pipeline Mapping System Public Viewer

    • data-dauphinco.opendata.arcgis.com
    • hub.arcgis.com
    Updated Sep 21, 2018
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    Dauphin County, PA (2018). National Pipeline Mapping System Public Viewer [Dataset]. https://data-dauphinco.opendata.arcgis.com/documents/38aa2b777dfe49e6b9e928577438e6c8
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    Dataset updated
    Sep 21, 2018
    Dataset authored and provided by
    Dauphin County, PA
    Description

    The National Pipeline Mapping System (NPMS) Public Viewer enables the user to view NPMS pipeline, liquefied natural gas (LNG) plant and breakout tank data one county at a time, including attributes and pipeline operator contact information. The user can also view gas transmission and hazardous liquid pipeline accidents and incidents going back to 2002 for the entire US. NPMS pipeline data consists of gas transmission pipelines and hazardous liquid pipelines jurisdictional to the Pipeline and Hazardous Materials Safety Administration (PHMSA). It does not contain gas gathering or distribution pipelines, such as lines which deliver gas to a customer 's home. Therefore, not all pipelines in an area will be visible in the Public Viewer. As well, the breakout tank data is not complete as submission of that data is not a requirement. All NPMS data is for reference purposes only. It should never be used as a substitute for contacting a one-call center prior to excavation activities. Please call 811 before any digging occurs.

  18. A

    Shale Basins and Plays North America

    • data.amerigeoss.org
    • data.wu.ac.at
    file geodatabase
    Updated Aug 9, 2019
    + more versions
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    Energy Data Exchange (2019). Shale Basins and Plays North America [Dataset]. https://data.amerigeoss.org/lt/dataset/shale-basins-and-plays-north-america
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    file geodatabaseAvailable download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    North America
    Description

    The dataset provides an overview of major natural basins and plays that are targets of gas and liquid hydrocarbon unconventinoal resources worldwide. It was created from various sources at West Virginia GIS Technical Center, Dept. of Geology and Geography, West Virginia University. The data set has been created as part of the project between World Resources Institute and WVU.

  19. a

    Annual PM2.5 Grids from MODIS-Benin

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated May 7, 2018
    + more versions
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    UN Environment, Early Warning &Data Analytics (2018). Annual PM2.5 Grids from MODIS-Benin [Dataset]. https://hub.arcgis.com/maps/b67ac579955742b8bb642677a9cc25a3
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    Dataset updated
    May 7, 2018
    Dataset authored and provided by
    UN Environment, Early Warning &Data Analytics
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) data sets represent a series of three-year running mean grids (1998-2012) of fine particulate matter (solid particles and liquid droplets) that were derived from a combination of MODIS (Moderate Resolution Imaging Spectroradiometer), MISR (Multi-angle Imaging SpectroRadiometer) and SeaWIFS (Sea-Viewing Wide Field-of-View Sensor) AOD satellite retrievals. Together the grids provide a continuous surface of concentrations in micrograms per cubic meter of particulate matter 2.5 micrometers or smaller (PM2.5) for health and environmental research. For each satellite-derived PM2.5 source, the total column retrievals of AOD were converted to near-ground PM2.5 levels using the GEOS-Chem chemical transport model to represent local relationships between AOD and PM2.5. A global decadal (2001-2010) mean PM2.5 concentration grid was also produced. The raster grids have a grid cell resolution of 6 arc-minutes (0.1 degree or approximately 10 km at the equator) and cover the global land surface from 70 degrees north to 55 degrees south. Compared to SEDAC’s earlier data set, Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth (AOD), v1 (2001-2010), this data set provides higher accuracy; longer temporal range; higher resolution (0.1 x 0.1 degrees); and time varying AOD to PM2.5 relationships, necessary for appropriate representation of trends. This data was published in 2015.Source: CIESIN

  20. Commingling Areas

    • data-bc-er.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jun 21, 2016
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    BC_Energy_Regulator (2016). Commingling Areas [Dataset]. https://data-bc-er.opendata.arcgis.com/datasets/16fd1405611b473bb97e2daa1e75a30f
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    Dataset updated
    Jun 21, 2016
    Dataset provided by
    Oil and Gas Commission
    Authors
    BC_Energy_Regulator
    Area covered
    Description

    Commingled production is the flow of fluids, originating from two or more pools, in an unsegregated manner to a well measurement meter. Production may be commingled down-hole in the wellbore or at the surface prior to metering. Commingling may occur at any point in the life of a well, from initial design to a recompletion late in the life of a well. Commingling is a method to maximize the total recoverable hydrocarbons from a well. Commingling provides an opportunity to produce zones that may be individually uneconomic to produce, either initially or after having declined to marginal rates. Commingling may also help to lift liquids to the surface that would otherwise hinder production. Data is updated nightly.

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California Department of Toxic Substances Control (2020). Class-3-Combustible [Dataset]. https://data.ca.gov/dataset/class-3-combustible
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Class-3-Combustible

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7 scholarly articles cite this dataset (View in Google Scholar)
htmlAvailable download formats
Dataset updated
Feb 6, 2020
Dataset provided by
California Department of Toxic Substances Control
Description

Hazard Class 3: Class 3 hazards are flammable liquids. These liquids include paints, alcohols, gasoline, kerosene and ethanol, and are recognized by red “flammable liquids” placards with the hazard class No. 3 at the bottom, and a flammable liquid graphic at the top.

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