14 datasets found
  1. Electric Vehicle Population DataSet

    • kaggle.com
    • data.wa.gov
    • +3more
    Updated Jul 17, 2024
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    adarshde (2024). Electric Vehicle Population DataSet [Dataset]. http://doi.org/10.34740/kaggle/ds/5405844
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 17, 2024
    Dataset provided by
    Kaggle
    Authors
    adarshde
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL) and on the roads of The United States of America.

    Updated:06/22/2024

  2. Number of electric vehicles in use by type 2010-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Number of electric vehicles in use by type 2010-2024 [Dataset]. https://www.statista.com/statistics/1101415/number-of-electric-vehicles-by-type/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    There were about 58.1 million electric vehicles in operation worldwide in 2024. That year, all-electric vehicles accounted for about 67.2 percent of plug-in electric vehicles. Electric vehicle market growth Globally, electric vehicle sales soared to approximately 17.3 million units in 2024. While conventional vehicle sales slumped amid the outbreak of the coronavirus pandemic, the market share of electric vehicles increased to between four and five percent in 2020, and has been rising ever since. China was the market with the largest battery-electric vehicle fleet in 2024, accounting for around 23 million of the world's battery-electric vehicle population. Manufacturers leading the Chinese market Leading the Chinese battery-electric vehicle market in 2023 was domestic manufacturer BYD. The company has been acknowledged for its innovation in battery technology. BYD also began manufacturing vehicles in foreign countries in 2015. Tesla. BYD's main competitor on the global market, was the second most popular BEV manufacturer in China.

  3. d

    Electric Vehicle Title and Registration Activity

    • catalog.data.gov
    • data.wa.gov
    Updated Jul 5, 2025
    + more versions
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    data.wa.gov (2025). Electric Vehicle Title and Registration Activity [Dataset]. https://catalog.data.gov/dataset/electric-vehicle-title-and-registration-activity
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    Dataset updated
    Jul 5, 2025
    Dataset provided by
    data.wa.gov
    Description

    This shows records of title activity (transactions recording changes of ownership) and registration activity (transactions authorizing vehicles to be used on Washington public roads).

  4. California's National Electric Vehicle Infrastructure Funding Program Map

    • catalog.data.gov
    • data.cnra.ca.gov
    • +3more
    Updated Jul 24, 2025
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    California Energy Commission (2025). California's National Electric Vehicle Infrastructure Funding Program Map [Dataset]. https://catalog.data.gov/dataset/californias-national-electric-vehicle-infrastructure-funding-program-map
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Area covered
    California
    Description

    The California Department of Transportation (Caltrans) and the California Energy Commission (CEC) are partnering to implement the federal National Electric Vehicle Infrastructure (NEVI) Program, which allocates $5 billion to the states to create a nationwide, interconnected network of DC fast chargers along the National Highway Systems. California's share will be $384 million over 5 years. This map was developed to help prospective applicants and interested parties identify eligible areas for infrastructure deployment.InstructionsViewers can display Alternative Fuel Corridors, NEVI 2 (GFO-24-606) corridor groups and corridor segments, NEVI 1 (GFO-23-601) corridor groups, electric vehicle (EV) charging stations, Tribal lands, California-designated low-income or disadvantaged communities, metropolitan planning organizations, regional transportation planning agencies, California state legislative districts, counties, Caltrans districts, utility districts, and congressional districts in this interactive map. The map initially displays the corridor groups and corridor segments eligible for California's Round 2 NEVI solicitation. Viewers can toggle individual layers on and off using the map layers menu located to the right of the map. Some layers are organized into groups; viewers can toggle all layers within a group or select specific ones. The legend to the left of the map will show the layers that have been turned on. There is a search tool to the right of the map that enables viewers to type in an address and locate the address on the map. A basemap selector allows viewers to view road detail. Additional information on the map can be found under the information icon. Viewers can download the map files by clicking on the Data and Supplemental Links icon. Map layers include:An Alternative Fuel Corridors layer that shows designated corridors for California's NEVI funding program. Users can click on a corridor segment to view the start and end of each corridor. When selected, a pop-up window will appear that shows the corridor name and description.A NEVI 2 (GFO-24-606) corridor groups layer shows corridor groups eligible for Round 2 of California's NEVI funding program. Note that this layer is only visible when the Alternative Fuels Corridors layer is turned off.NEVI 2 (GFO-24-606) corridor group labels for enhanced accessibility. Note that labels are only visible at certain ranges (zoom in and out to view labels) and when the Alternative Fuels Corridors layer is turned off. NEVI 2 (GFO-24-606) corridor segment labels for enhanced accessibility. Note that labels are only visible at certain ranges (zoom in and out to view labels) and when the Alternative Fuels Corridors layer is turned off. A NEVI 1 (GFO-23-601) corridor groups layer that shows corridor groups eligible for Round 1 of California's NEVI funding program. Note that this layer is only visible when the Alternative Fuels Corridors layer is turned off.A layer showing the locations of EV charging stations awarded through Round 1 of California's NEVI funding program that are planned for deployment. A layer showing California-designated disadvantaged or low-income communities. A layer showing California Federally Recognized Tribal Lands. A layer showing Metropolitan Planning Organizations. A layer showing Regional Transportation Planning Agencies. A layer showing California State Senate Districts. A layer showing California State Assembly Districts. A layer showing California Counties. EV charging stations layers (existing DC fast charging stations that are located within one mile of a NEVI-eligible corridor offramp). One layer shows locations of EV charging stations with DC fast charging capabilities that meet the NEVI power level and four-port minimum requirement and could likely become part of the NEVI network if these stations became compliant with other NEVI program requirements such as data reporting. The other layer shows DC fast charging stations that do not meet NEVI power-level or port count requirements but could be upgraded to be NEVI-compliant. Users can click on EV charging stations and a pop-up window will appear with more information on the station (i.e., station address, total port count, minimum NEVI standard, etc.). These data were last updated in March 2024. Please refer to the Department of Energy's Alternative Fuels Data Center and PlugShare for up-to-date existing and planned DC fast charger site information. A layer showing Caltrans Districts. A layer showing Electric Utilities (IOUs and POUs). A layer showing California Congressional Districts. BackgroundThe $5 billion NEVI Program is part of the $1.2 trillion Infrastructure Investment and Jobs Act (IIJA) signed into law by President Biden in November 2021. IIJA commits significant federal funding to clean transportation and energy programs throughout the U.S. to reduce climate changing greenhouse gas emissions. Caltrans is the designated lead agency for NEVI. The CEC is their designated state energy partner. Caltrans and the CEC have partnered to create California's Deployment Plan for the National Electric Vehicle Infrastructure Program that describes how the state plans to allocate its $384 million share of federal NEVI funds to build out a network of modern, high-powered DC fast chargers along federally designated Alternative Fuel Corridors throughout California. California's latest NEVI Deployment Plan was submitted to the Joint Office of Energy and Transportation on August 1, 2023 and approved on September 29, 2023. The Plans must be updated each year over 5 years.NEVI funds must be used initially on federally-designated Alternative Fuel Corridors (shown on the map).Each NEVI-funded DC fast charge station will have a minimum of four 150 kW Combined Charging System (CCS) connectors. Stations will be located no more than 50 miles apart along freeways and highways and no more than 1 mile from a freeway exit or highway roadway. States are required to emphasize equity, with at least 40 percent of NEVI benefits going to disadvantaged, low income, rural and Tribal communities.Data SourcesData are from the Federal Highway Administration's Alternative Fuel Corridors website, the U.S. Department of Energy's Alternative Fuels Data Center Station Data for Alternative Fuel Corridors (as of September 2022), Argonne National Laboratory's Electric Vehicle Charging Justice40 Map, and the California Air Resources Board's Map of California Climate Investments Priority Populations 2022 CES 4.0. ContactPlease submit questions and comments to mediaoffice@energy.ca.gov

  5. c

    Round 1 Solicitation Electric Fuel Corridor Groups (updated December 2023)

    • gis.data.cnra.ca.gov
    • data.ca.gov
    • +4more
    Updated Dec 19, 2023
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    California Energy Commission (2023). Round 1 Solicitation Electric Fuel Corridor Groups (updated December 2023) [Dataset]. https://gis.data.cnra.ca.gov/datasets/CAEnergy::round-1-solicitation-electric-fuel-corridor-groups-updated-december-2023
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    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    California Energy Commission
    License

    https://www.energy.ca.gov/conditions-of-usehttps://www.energy.ca.gov/conditions-of-use

    Area covered
    Description

    This layer includes the groups for Round 1 of California's NEVI Funding Program.Data Dictionary:Corridor Segment - A portion of a highway corridor.Corridor Group - A group of one or more corridor segments. Alternative Fuel Corridor - The U.S. Department of Transportation Federal Highway Administration (FHWA) designates a national network of plug-in electric vehicle (EV) charging and hydrogen, propane, and natural gas fueling infrastructure along national highway system corridors. To designate these Alternative Fuel Corridors (AFC), FHWA solicits nominations from state and local officials and works with other federal officials and industry stakeholders.Minimum Sites - The minimum number of project sites a corridor segment must have to be eligible for NEVI funding through California’s NEVI program solicitations. Chargers Required - The minimum number of new chargers a corridor segment must have to be eligible for NEVI funding through California’s NEVI program solicitations.Required Sites - Sites required along a corridor segment, if applicable. Additional Note - Additional notes as written in the Solicitation Manual, if applicable.

  6. Z

    GeoJSON files for the MCSC's Trucking Industry Decarbonization Explorer...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Feb 18, 2025
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    MIT Climate & Sustainability Consortium (2025). GeoJSON files for the MCSC's Trucking Industry Decarbonization Explorer (Geo-TIDE) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_13207715
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    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Borrero, Micah
    Bashir, Noman
    MacDonell, Danika
    MIT Climate & Sustainability Consortium
    License

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

    Description

    Summary

    Geojson files used to visualize geospatial layers relevant to identifying and assessing trucking fleet decarbonization opportunities with the MIT Climate & Sustainability Consortium's Geospatial Trucking Industry Decarbonization Explorer (Geo-TIDE) tool.

    Relevant Links

    Link to the online version of the tool (requires creation of a free user account).

    Link to GitHub repo with source code to produce this dataset and deploy the Geo-TIDE tool locally.

    Funding

    This dataset was produced with support from the MIT Climate & Sustainability Consortium.

    Original Data Sources

    These geojson files draw from and synthesize a number of different datasets and tools. The original data sources and tools are described below:

    Filename(s) Description of Original Data Source(s) Link(s) to Download Original Data License and Attribution for Original Data Source(s)

    faf5_freight_flows/*.geojson

    trucking_energy_demand.geojson

    highway_assignment_links_*.geojson

    infrastructure_pooling_thought_experiment/*.geojson

    Regional and highway-level freight flow data obtained from the Freight Analysis Framework Version 5. Shapefiles for FAF5 region boundaries and highway links are obtained from the National Transportation Atlas Database. Emissions attributes are evaluated by incorporating data from the 2002 Vehicle Inventory and Use Survey and the GREET lifecycle emissions tool maintained by Argonne National Lab.

    Shapefile for FAF5 Regions

    Shapefile for FAF5 Highway Network Links

    FAF5 2022 Origin-Destination Freight Flow database

    FAF5 2022 Highway Assignment Results

    Attribution for Shapefiles: United States Department of Transportation Bureau of Transportation Statistics National Transportation Atlas Database (NTAD). Available at: https://geodata.bts.gov/search?collection=Dataset.

    License for Shapefiles: This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use.

    Attribution for Origin-Destination Freight Flow database: National Transportation Research Center in the Oak Ridge National Laboratory with funding from the Bureau of Transportation Statistics and the Federal Highway Administration. Freight Analysis Framework Version 5: Origin-Destination Data. Available from: https://faf.ornl.gov/faf5/Default.aspx. Obtained on Aug 5, 2024. In the public domain.

    Attribution for the 2022 Vehicle Inventory and Use Survey Data: United States Department of Transportation Bureau of Transportation Statistics. Vehicle Inventory and Use Survey (VIUS) 2002 [supporting datasets]. 2024. https://doi.org/10.21949/1506070

    Attribution for the GREET tool (original publication): Argonne National Laboratory Energy Systems Division Center for Transportation Research. GREET Life-cycle Model. 2014. Available from this link.

    Attribution for the GREET tool (2022 updates): Wang, Michael, et al. Summary of Expansions and Updates in GREET® 2022. United States. https://doi.org/10.2172/1891644

    grid_emission_intensity/*.geojson

    Emission intensity data is obtained from the eGRID database maintained by the United States Environmental Protection Agency.

    eGRID subregion boundaries are obtained as a shapefile from the eGRID Mapping Files database.

    eGRID database

    Shapefile with eGRID subregion boundaries

    Attribution for eGRID data: United States Environmental Protection Agency: eGRID with 2022 data. Available from https://www.epa.gov/egrid/download-data. In the public domain.

    Attribution for shapefile: United States Environmental Protection Agency: eGRID Mapping Files. Available from https://www.epa.gov/egrid/egrid-mapping-files. In the public domain.

    US_elec.geojson

    US_hy.geojson

    US_lng.geojson

    US_cng.geojson

    US_lpg.geojson

    Locations of direct current fast chargers and refueling stations for alternative fuels along U.S. highways. Obtained directly from the Station Data for Alternative Fuel Corridors in the Alternative Fuels Data Center maintained by the United States Department of Energy Office of Energy Efficiency and Renewable Energy.

    US_elec.geojson

    US_hy.geojson

    US_lng.geojson

    US_cng.geojson

    US_lpg.geojson

    Attribution: U.S. Department of Energy, Energy Efficiency and Renewable Energy. Alternative Fueling Station Corridors. 2024. Available from: https://afdc.energy.gov/corridors. In the public domain.

    These data and software code ("Data") are provided by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC ("Alliance"), for the U.S. Department of Energy ("DOE"), and may be used for any purpose whatsoever.

    daily_grid_emission_profiles/*.geojson

    Hourly emission intensity data obtained from ElectricityMaps.

    Original data can be downloaded as csv files from the ElectricityMaps United States of America database

    Shapefile with region boundaries used by ElectricityMaps

    License: Open Database License (ODbL). Details here: https://www.electricitymaps.com/data-portal

    Attribution for csv files: Electricity Maps (2024). United States of America 2022-23 Hourly Carbon Intensity Data (Version January 17, 2024). Electricity Maps Data Portal. https://www.electricitymaps.com/data-portal.

    Attribution for shapefile with region boundaries: ElectricityMaps contributors (2024). electricitymaps-contrib (Version v1.155.0) [Computer software]. https://github.com/electricitymaps/electricitymaps-contrib.

    gen_cap_2022_state_merged.geojson

    trucking_energy_demand.geojson

    Grid electricity generation and net summer power capacity data is obtained from the state-level electricity database maintained by the United States Energy Information Administration.

    U.S. state boundaries obtained from this United States Department of the Interior U.S. Geological Survey ScienceBase-Catalog.

    Annual electricity generation by state

    Net summer capacity by state

    Shapefile with U.S. state boundaries

    Attribution for electricity generation and capacity data: U.S. Energy Information Administration (Aug 2024). Available from: https://www.eia.gov/electricity/data/state/. In the public domain.

    electricity_rates_by_state_merged.geojson

    Commercial electricity prices are obtained from the Electricity database maintained by the United States Energy Information Administration.

    Electricity rate by state

    Attribution: U.S. Energy Information Administration (Aug 2024). Available from: https://www.eia.gov/electricity/data.php. In the public domain.

    demand_charges_merged.geojson

    demand_charges_by_state.geojson

    Maximum historical demand charges for each state and zip code are derived from a dataset compiled by the National Renewable Energy Laboratory in this this Data Catalog.

    Historical demand charge dataset

    The original dataset is compiled by the National Renewable Energy Laboratory (NREL), the U.S. Department of Energy (DOE), and the Alliance for Sustainable Energy, LLC ('Alliance').

    Attribution: McLaren, Joyce, Pieter Gagnon, Daniel Zimny-Schmitt, Michael DeMinco, and Eric Wilson. 2017. 'Maximum demand charge rates for commercial and industrial electricity tariffs in the United States.' NREL Data Catalog. Golden, CO: National Renewable Energy Laboratory. Last updated: July 24, 2024. DOI: 10.7799/1392982.

    eastcoast.geojson

    midwest.geojson

    la_i710.geojson

    h2la.geojson

    bayarea.geojson

    saltlake.geojson

    northeast.geojson

    Highway corridors and regions targeted for heavy duty vehicle infrastructure projects are derived from a public announcement on February 15, 2023 by the United States Department of Energy.

    The shapefile with Bay area boundaries is obtained from this Berkeley Library dataset.

    The shapefile with Utah county boundaries is obtained from this dataset from the Utah Geospatial Resource Center.

    Shapefile for Bay Area country boundaries

    Shapefile for counties in Utah

    Attribution for public announcement: United States Department of Energy. Biden-Harris Administration Announces Funding for Zero-Emission Medium- and Heavy-Duty Vehicle Corridors, Expansion of EV Charging in Underserved Communities (2023). Available from https://www.energy.gov/articles/biden-harris-administration-announces-funding-zero-emission-medium-and-heavy-duty-vehicle.

    Attribution for Bay area boundaries: San Francisco (Calif.). Department Of Telecommunications and Information Services. Bay Area Counties. 2006. In the public domain.

    Attribution for Utah boundaries: Utah Geospatial Resource Center & Lieutenant Governor's Office. Utah County Boundaries (2023). Available from https://gis.utah.gov/products/sgid/boundaries/county/.

    License for Utah boundaries: Creative Commons 4.0 International License.

    incentives_and_regulations/*.geojson

    State-level incentives and regulations targeting heavy duty vehicles are collected from the State Laws and Incentives database maintained by the United States Department of Energy's Alternative Fuels Data Center.

    Data was collected manually from the State Laws and Incentives database.

    Attribution: U.S. Department of Energy, Energy Efficiency and Renewable Energy, Alternative Fuels Data Center. State Laws and Incentives. Accessed on Aug 5, 2024 from: https://afdc.energy.gov/laws/state. In the public domain.

    These data and software code ("Data") are provided by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC ("Alliance"), for the U.S. Department of Energy ("DOE"), and may be used for any purpose whatsoever.

    costs_and_emissions/*.geojson

    diesel_price_by_state.geojson

    trucking_energy_demand.geojson

    Lifecycle costs and emissions of electric and diesel trucking are evaluated by adapting the model developed by Moreno Sader et al., and calibrated to the Run on Less dataset for the Tesla Semi collected from the 2023 PepsiCo Semi pilot by the North American Council for Freight Efficiency.

    In

  7. d

    The Effects of Roadside Vegetation Barrier Characteristics on Near-Road Air...

    • datasets.ai
    • catalog.data.gov
    57
    Updated Aug 7, 2024
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    U.S. Environmental Protection Agency (2024). The Effects of Roadside Vegetation Barrier Characteristics on Near-Road Air Quality [Dataset]. https://datasets.ai/datasets/the-effects-of-roadside-vegetation-barrier-characteristics-on-near-road-air-quality
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    57Available download formats
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    U.S. Environmental Protection Agency
    Description

    Air quality and meteorological measurements collected in Woodside, California along a heavily-trafficked highway with and without an existing vegetation barrier. The data includes fixed and mobile monitoring data collected by an electric vehicle for CO, NO2, black carbon and ultrafine particles.

    This dataset is associated with the following publication: Deshmukh, P., V. Isakov, A. Venkatram, B. Yang, K. Zhang, R. Logan, and R. Baldauf. The Effects of Roadside Vegetation Characteristics on Local, Near-Road Air Quality. Air Quality, Atmosphere & Health. Springer Netherlands, NETHERLANDS, 12(3): 259-270, (2018).

  8. Alternative Fuel Corridors (April 29 2025)

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.cnra.ca.gov
    • +6more
    Updated Jul 24, 2025
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    California Energy Commission (2025). Alternative Fuel Corridors (April 29 2025) [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/alternative-fuel-corridors-april-29-2025
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Description

    The U.S. Department of Transportation Federal Highway Administration (FHWA) designates a national network of plug-in electric vehicle (EV) charging and hydrogen, propane, and natural gas fueling infrastructure along national highway system corridors. To designate these Alternative Fuel Corridors (AFC), FHWA solicits nominations from state and local officials and works with other federal officials and industry stakeholders. Highways designed as AFCs are eligible for California's NEVI funding program. This layer displays all of the designated AFCs in California.

  9. High-Mileage Courier Fleet Vehicle Laboratory Battery Pack Testing

    • osti.gov
    Updated Jul 8, 2022
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    PNNL (2022). High-Mileage Courier Fleet Vehicle Laboratory Battery Pack Testing [Dataset]. http://doi.org/10.15483/1863084
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    Dataset updated
    Jul 8, 2022
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    NREL
    PNNL
    INL
    Livewire Data Platform
    Description

    For one of each of the AVTA's plug-in hybrid electric vehicles, battery electric vehicles, and some hybrid electric vehicles tested in high-mileage courier fleets, the high-voltage traction battery packs were removed from the vehicle and tested at the beginning and end of fleet testing. For some vehicles, batteries also were tested at periodic intervals during fleet testing. Standard reference performance tests were conducted to characterize battery degradation over time. This dataset contains results from two or more rounds of battery tests for 21 distinct year/make/model vehicles (see reference "INL Advanced Vehicle Testing Activity: On-road Logger and Laboratory Battery Pack Testing Vehicle List" for full list of vehicles). Each round of battery testing included the "Static Capacity Test" and the "Hybrid Pulse Power Characterization (HPPC) Test", conducted according to test procedures published in the United States Advanced Battery Consortium "Battery Test Manual For Power-Assist Hybrid Electric Vehicles", "Battery Test Manual For Plug-In Hybrid Electric Vehicles", and "Electric Vehicle Battery Test Procedures Manual" prior to the time of testing. These tests were performed by Intertek Testing Services, North America. (This dataset will be shared by API; a small sample of the vehicle battery and test data has been extracted and is available for download while the API is being developed.)

  10. b

    Alternative Fuel Corridors

    • geodata.bts.gov
    • catalog.data.gov
    • +2more
    Updated May 25, 2021
    + more versions
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    U.S. Department of Transportation: ArcGIS Online (2021). Alternative Fuel Corridors [Dataset]. https://geodata.bts.gov/items/aa7e5a20c7ab4faf9958f708b0d2b452
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    Dataset updated
    May 25, 2021
    Dataset authored and provided by
    U.S. Department of Transportation: ArcGIS Online
    Area covered
    Description

    The Alternative Fuel Corridors dataset was created in 2016 and was updated on January 16, 2025 with new Round 8 designations from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The dataset is a highway layer of corridors, primarily along the NHS, that are designated as Corridor Ready or Corridor Pending. It includes designations of five types of alternative fuels, Electric Vehicle Charging (EV), Compressed Natural Gas (CNG), Liquefied Natural Gas (LNG), Propane (LPG), and Hydrogen. Corridor-ready segments currently contain a sufficient number of fueling facilities to allow for corridor travel with the designated alternative fuel, and to qualify for highway signage. Corridors that do not have sufficient alternative fuel facilities to support alternative fuel vehicle travel are designated as corridor pending. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529007.

  11. a

    Alternative Fuel Corridors WA

    • hub.arcgis.com
    Updated Nov 14, 2024
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    WSDOT Online Map Center (2024). Alternative Fuel Corridors WA [Dataset]. https://hub.arcgis.com/datasets/6e8416d3d396407691196c694518a17b
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    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    WSDOT Online Map Center
    Area covered
    Description

    Sourced from Esri Living Atlas: Alternative Fuel Corridors - OverviewREST URL: https://services1.arcgis.com/4yjifSiIG17X0gW4/ArcGIS/rest/services/Alternative_Fuel_Corridors/FeatureServerThis dataset allows users to view a national network of alternative fueling and charging infrastructure along national highway system corridors. Data is sourced from US Department of Transportation's (USDOT) most recent Alternative Fuel Corridors (AFCs) dataset.The USDOT's Federal Highway Administration (FHWA) designates a national network of plug-in electric vehicle (EV) charging and hydrogen, propane, and natural gas fueling infrastructure along national highway system corridors. To designate these Alternative Fuel Corridors (AFC), FHWA solicits nominations from state and local officials and works with other federal officials and industry stakeholders.By default, the map symbology shows where EV Corridor Ready and EV Corridor Pending designations are. The Alternative Fuel Corridors dataset was created from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The dataset is a highway layer of corridors, primarily from the NHS, that are designated as Corridor Ready or Corridor Pending for alternative fuel corridor signage. It includes designations of five types of alternative fuels, Electric Vehicle (EV), CNG, LNG, LPG or Propane, and Hydrogen. Corridor-ready segments currently contain a sufficient number of fueling facilities to allow for corridor travel with the designated alternative fuel, and to qualify for highway signage. Corridors that do not have sufficient alternative fuel facilities to support alternative fuel vehicle travel are designated as corridor-pending.Source: U.S. Department of Transportation - Alternative Fuel CorridorsDate Downloaded: 10/01/2024Date Source Data Last Updated: 07/22/2024To learn more about Alternative Fuel Corridors, visit here.To view a list of Alternative Fuel Corridors designations by state, visit here.To view resources on Alternative Fuel Corridors, click here.Please direct questions about this layer to partnerships@wsdot. If you are having trouble viewing this item, please email OnlineMapSupport@wsdot.wa.gov.

  12. v

    NEVI 2 Corridor Groups (December 9 2024)

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.ca.gov
    • +5more
    Updated Jul 24, 2025
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    California Energy Commission (2025). NEVI 2 Corridor Groups (December 9 2024) [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/nevi-2-corridor-groups-december-9-2024
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Energy Commission
    Description

    California-designated corridors are grouped by location and number of new charging stations required under NEVI. Data Dictionary:Corridor Segment - A portion of a highway corridor.Corridor Group - A group of one or more corridor segments. Alternative Fuel Corridor - The U.S. Department of Transportation Federal Highway Administration (FHWA) designates a national network of plug-in electric vehicle (EV) charging and hydrogen, propane, and natural gas fueling infrastructure along national highway system corridors. To designate these Alternative Fuel Corridors (AFC), FHWA solicits nominations from state and local officials and works with other federal officials and industry stakeholders.Minimum Charging Stations Required - The minimum number of charging stations a corridor segment must have to be eligible for funding for Round 2 of California’s NEVI program solicitation. Minimum Ports Required - The minimum number of new ports a corridor segment must have to be eligible for funding for Round 2 of California’s NEVI program solicitation.Needed Locations - Locations where charging stations need to be sited to ensure the NEVI 50-mile station placement requirement is met for all routes of travel from one AFC to another, if applicable.

  13. c

    NEVI 2 Corridor Groups (October 25 2024)

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Nov 27, 2024
    + more versions
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    California Energy Commission (2024). NEVI 2 Corridor Groups (October 25 2024) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/nevi-2-corridor-groups-october-25-2024-df34e
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Energy Commission
    Description

    California-designated corridors are grouped by _location and number of new charging stations required under NEVI. Data Dictionary:Corridor Segment - A portion of a highway corridor.Corridor Group - A group of one or more corridor segments. Alternative Fuel Corridor - The U.S. Department of Transportation Federal Highway Administration (FHWA) designates a national network of plug-in electric vehicle (EV) charging and hydrogen, propane, and natural gas fueling infrastructure along national highway system corridors. To designate these Alternative Fuel Corridors (AFC), FHWA solicits nominations from state and local officials and works with other federal officials and industry stakeholders.Minimum Charging Stations Required - The minimum number of charging stations a corridor segment must have to be eligible for funding for Round 2 of California’s NEVI program solicitation. Minimum Ports Required - The minimum number of new ports a corridor segment must have to be eligible for funding for Round 2 of California’s NEVI program solicitation.Needed Locations - Locations where charging stations need to be sited to ensure the NEVI 50-mile station placement requirement is met for all routes of travel from one AFC to another, if applicable.

  14. g

    U.S. 2017 emissions supporting non-allergic rhinitis publication by Yu et...

    • gimi9.com
    • catalog.data.gov
    Updated May 15, 2025
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    (2025). U.S. 2017 emissions supporting non-allergic rhinitis publication by Yu et al. (version 1.0) [Dataset]. https://gimi9.com/dataset/data-gov_u-s-2017-emissions-supporting-non-allergic-rhinitis-publication-by-yu-et-al-version-1-0/
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    Dataset updated
    May 15, 2025
    Description

    Emissions to air of select volatile organic compounds (VOCs) for the U.S. in 2017 by major source groups. Methods follow those from Pye et al. 2023 (https://doi.org/10.5194/acp-23-5043-2023). Species include: 1,3-butadiene, Acrolein (or 2-propenal), Acrylamide, Acrylonitrile, Ethylene oxide, Perchloroethylene (or Tetrachloroethylene), Propylene oxide, Styrene, Toluene, Vinyl chloride, and Xylenes (multiple isomers). Sources include: gasoline vehicles (on-road and non-road), chemical products, other area sources, fires (wildland, prescribed, agricultural, and others), other point sources, EGUs (Electric Generating Units), oil and gas, diesel vehicles (on-road and non-road), and residential wood combustion.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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adarshde (2024). Electric Vehicle Population DataSet [Dataset]. http://doi.org/10.34740/kaggle/ds/5405844
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Electric Vehicle Population DataSet

Electric Vehicle Population DataSet - State of Washington

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361 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jul 17, 2024
Dataset provided by
Kaggle
Authors
adarshde
License

http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

Description

This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL) and on the roads of The United States of America.

Updated:06/22/2024

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