2 datasets found
  1. Heathrow Weather Data

    • kaggle.com
    Updated Apr 3, 2021
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    Jonathan Bowden (2021). Heathrow Weather Data [Dataset]. https://www.kaggle.com/datasets/bowdenjr/heathrow-weather-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2021
    Dataset provided by
    Kaggle
    Authors
    Jonathan Bowden
    Description

    Context

    Simple time series data for weather prediction time series projects.

    Content

    The data contains the following information from the UK Met Office location at London Heathrow Airport. The data runs from Jan 1948 to Oct 2020 and includes the following monthly data fields:

    • yyyy = Year
    • mm = Month
    • tmax = Maximum temperature (Celsius)
    • tmin = Minimum temperature (Celsius)
    • af = Count of Air Frost days in the given month
    • rain = Total rainfall (mm)
    • sun = Sunshine duration (hrs)

    Acknowledgements

    Provided by the UK Met Office: https://www.metoffice.gov.uk/research/climate/maps-and-data/historic-station-data Available under Open Government Licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

    Example code

    The following Python code will load into a Pandas DataFrame:

    colspecs = [(3, 7), (9,11),(14,18),(22,26),(32,34),(37,42),(45,50)] data = pd.read_fwf('../input/heathrow-weather-data/heathrowdata.txt',colspecs=colspecs)

    The following will remove the first few lines of text

    data = data[3:].reset_index(drop=True) data.columns = data.iloc[1] data = data[3:].reset_index(drop=True)

  2. Temperature-attributable mortality (and hospital admission) time series, UK...

    • catalogue.ceda.ac.uk
    Updated Jul 27, 2023
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    Katty Huang; Andrew Charlton-Perez; Ting Sun (2023). Temperature-attributable mortality (and hospital admission) time series, UK (1900-2099) [Dataset]. https://catalogue.ceda.ac.uk/uuid/d15196fa0aec4cf4b489f62f866a1a72
    Explore at:
    Dataset updated
    Jul 27, 2023
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Katty Huang; Andrew Charlton-Perez; Ting Sun
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Time period covered
    Jan 1, 1900 - Dec 31, 2099
    Area covered
    Description

    This dataset contains estimates of mortality and number of hospital admissions that can be attributed to temperature, from observations and climate projections, and includes some of the underlying climate data. The data are divided into the subdirectories ‘epi_model’, ‘HadUKgrid’, ‘London’, ‘regimes’, and ‘UKCP18’ as follows:

    epi_model: - Model fits of exposure-response relationships

    HadUKgrid: - Temperature-attributable mortality/hospital admission time series for the observed record (1981/1991-2018) - List of the 10 highest mortality days from 1991 to 2018 based on UK-total temperature-related mortality

    London: - Average daily temperature by London boroughs simulated with an urban model, October 2015 to 2019 - Attributable hospital admission by London boroughs based on the above temperature time series

    regimes: - Weather regime and pattern classification for the observed record (1850/1979-2019)

    UKCP18: - Attributable mortality time series for UKCP18 climate projections (1900-2099)

    Further details including file contents and methods can be found in the README.txt files for each dataset. This dataset was produced for the UK Climate Resilience Programme - Addressing the resilience needs of the UK health sector: climate service pilots.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Jonathan Bowden (2021). Heathrow Weather Data [Dataset]. https://www.kaggle.com/datasets/bowdenjr/heathrow-weather-data
Organization logo

Heathrow Weather Data

Sourced from UK Met Office

Explore at:
15 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
Apr 3, 2021
Dataset provided by
Kaggle
Authors
Jonathan Bowden
Description

Context

Simple time series data for weather prediction time series projects.

Content

The data contains the following information from the UK Met Office location at London Heathrow Airport. The data runs from Jan 1948 to Oct 2020 and includes the following monthly data fields:

  • yyyy = Year
  • mm = Month
  • tmax = Maximum temperature (Celsius)
  • tmin = Minimum temperature (Celsius)
  • af = Count of Air Frost days in the given month
  • rain = Total rainfall (mm)
  • sun = Sunshine duration (hrs)

Acknowledgements

Provided by the UK Met Office: https://www.metoffice.gov.uk/research/climate/maps-and-data/historic-station-data Available under Open Government Licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

Example code

The following Python code will load into a Pandas DataFrame:

colspecs = [(3, 7), (9,11),(14,18),(22,26),(32,34),(37,42),(45,50)] data = pd.read_fwf('../input/heathrow-weather-data/heathrowdata.txt',colspecs=colspecs)

The following will remove the first few lines of text

data = data[3:].reset_index(drop=True) data.columns = data.iloc[1] data = data[3:].reset_index(drop=True)

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