3 datasets found

  1. U.S. International Air Traffic data(1990-2020)

    • kaggle.com
    zip
    Updated Jul 16, 2021
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    Parul Pandey (2021). U.S. International Air Traffic data(1990-2020) [Dataset]. https://www.kaggle.com/parulpandey/us-international-air-traffic-data
    Explore at:
    zip(17939017 bytes)Available download formats
    Dataset updated
    Jul 16, 2021
    Authors
    Parul Pandey
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    Content

    The data comes from the U.S. International Air Passenger and Freight Statistics Report. As part of the T-100 program, USDOT receives traffic reports of US and international airlines operating to and from US airports. There are two datasets available:

    • Departures: Data on all flights between US gateways and non-US gateways, irrespective of origin and destination.

    Each observation provides information on a specific airline for a pair of airports, one in the US and the other outside. Three main columns record the number of flights: Scheduled, Charter, and Total.

    • Passengers: Data on the total number of passengers for each month and year between a pair of airports, as serviced by a particular airline.

    U.S. International Air Passenger and Freight data are confidential for a period of 6 months, after which it can be released. As a result, quarterly reports and the year to date/calendar year raw data files available here will always lag by two quarters.

    Questions that can be answered with data

    • Top 10 busiest airports
    • Monthly total of flights

    Acknowledgements

    Data Provided by the Department of Transportation Office of the Assistant Secretary for Aviation and International Affairs. Updated: December 16, 2020 Dataset Owner: Randall_Keizer

  2. d

    Wind Techno-economic Exclusion

    • datasets.ai
    • data.ca.gov
    • +1more
    0, 15, 21, 25, 3, 47 +3
    Updated Aug 12, 2023
    + more versions
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    State of California (2023). Wind Techno-economic Exclusion [Dataset]. https://datasets.ai/datasets/wind-techno-economic-exclusion-29d91
    Explore at:
    25, 21, 15, 3, 8, 57, 53, 0, 47Available download formats
    Dataset updated
    Aug 12, 2023
    Dataset authored and provided by
    State of California
    Description

    The site suitability criteria included in the techno-economic land use screens are listed below. As this list is an update to previous cycles, tribal lands, prime farmland, and flood zones are not included as they are not technically infeasible for development. The techno-economic site suitability exclusion thresholds are presented in table 1. Distances indicate the minimum distance from each feature for commercial scale wind development

    Attributes:

    • Steeply sloped areas: change in vertical elevation compared to horizontal distance
    • Population density: the number of people living in a 1 km2 area
    • Urban areas: defined by the U.S. Census.
    • Water bodies: defined by the U.S. National Atlas Water Feature Areas, available from Argonne National Lab Energy Zone Mapping Tool
    • Railways: a comprehensive database of North America's railway system from the Federal Railroad Administration (FRA), available from Argonne National Lab Energy Zone Mapping Tool
    • Major highways: available from ESRI Living Atlas
    • Airports: The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. Available from Argonne National Lab Energy Zone Mapping Tool
    • Active mines: Active Mines and Mineral Processing Plants in the United States in 2003
    • Military Lands: Land owned by the federal government that is part of a US military base, camp, post, station, yard, center, or installation.

    Table 1

    Wind

    Steeply sloped areas

    >10o

    Population density

    >100/km2

    Capacity factor

    <20%

    Urban areas

    <1000 m

    Water bodies

    <250 m

    Railways

    <250 m

    Major highways

    <125 m

    Airports

    <5000 m

    Active mines

    <1000 m

    Military Lands

    <3000m

    For more information about the processes and sources used to develop the screening criteria see sources 1-7 in the footnotes.

    Data updates occur as needed, corresponding to typical 3-year CPUC IRP planning cycles


    Footnotes:
    [1] Lopez, A. et. al. “U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis,” 2012. https://www.nrel.gov/docs/fy12osti/51946.pdf

  3. Solar Techno-economic Exclusion

    • data.ca.gov
    • data.cnra.ca.gov
    Updated Oct 26, 2023
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    California Energy Commission (2023). Solar Techno-economic Exclusion [Dataset]. https://data.ca.gov/dataset/solar-techno-economic-exclusion
    Explore at:
    arcgis geoservices rest api, zip, geojson, kml, html, gdb, csv, xlsx, gpkg, txtAvailable download formats
    Dataset updated
    Oct 26, 2023
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

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

    Description

    The site suitability criteria included in the techno-economic land use screens are listed below. As this list is an update to previous cycles, tribal lands, prime farmland, and flood zones are not included as they are not technically infeasible for development. The techno-economic site suitability exclusion thresholds are presented in Table 1. Distances indicate the minimum distance from each feature for commercial scale solar development.

    Attributes:

    Steeply sloped areas: change in vertical elevation compared to horizontal distance

    Population density: the number of people living in a 1 km2 area

    Urban areas: defined by the U.S. Census.8

    Water bodies: defined by the U.S. National Atlas Water Feature Areas, available from Argonne National Lab Energy Zone Mapping Tool9

    Railways: a comprehensive database of North America's railway system from the Federal Railroad Administration (FRA), available from Argonne National Lab Energy Zone Mapping Tool

    Major highways: available from ESRI Living Atlas10

    Airports: The Airports dataset including other aviation facilities as of July 13, 2018 is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics' (BTS's) National Transportation Atlas Database (NTAD). The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product. Available from Argonne National Lab Energy Zone Mapping Tool

    Active mines: Active Mines and Mineral Processing Plants in the United States in 200311

    Military Lands: Land owned by the federal government that is part of a US military base, camp, post, station, yard, center or installation.


    Table 1

    Solar

    Steeply sloped areas

    >10o

    Population density

    >100/km2

    Capacity factor

    <20%

    Urban areas

    <500 m

    Water bodies

    <250 m

    Railways

    <30 m

    Major highways

    <125 m

    Airports

    <1000 m

    Active mines

    <1000 m

    Military

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Click to copy link
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Close
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Parul Pandey (2021). U.S. International Air Traffic data(1990-2020) [Dataset]. https://www.kaggle.com/parulpandey/us-international-air-traffic-data
Organization logo

U.S. International Air Traffic data(1990-2020)

Airport and airline Traffic by US and International Carriers

Explore at:
zip(17939017 bytes)Available download formats
Dataset updated
Jul 16, 2021
Authors
Parul Pandey
License

https://www.usa.gov/government-works/https://www.usa.gov/government-works/

Description

Content

The data comes from the U.S. International Air Passenger and Freight Statistics Report. As part of the T-100 program, USDOT receives traffic reports of US and international airlines operating to and from US airports. There are two datasets available:

  • Departures: Data on all flights between US gateways and non-US gateways, irrespective of origin and destination.

Each observation provides information on a specific airline for a pair of airports, one in the US and the other outside. Three main columns record the number of flights: Scheduled, Charter, and Total.

  • Passengers: Data on the total number of passengers for each month and year between a pair of airports, as serviced by a particular airline.

U.S. International Air Passenger and Freight data are confidential for a period of 6 months, after which it can be released. As a result, quarterly reports and the year to date/calendar year raw data files available here will always lag by two quarters.

Questions that can be answered with data

  • Top 10 busiest airports
  • Monthly total of flights

Acknowledgements

Data Provided by the Department of Transportation Office of the Assistant Secretary for Aviation and International Affairs. Updated: December 16, 2020 Dataset Owner: Randall_Keizer

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