Dataset
Indoor air population study: Volatile Organic Compounds (VOC) concentrations
Abstract
This dataset contains Volatile Organic Compounds (VOC) concentrations taken from a large, population-scale study, which was conducted for a total of 19 weeks during the winter and summer of 2019. VOC concentration data were collected for 39 VOC species across 60 houses in Ashford, United Kingdom. Samples were collected in evacuated stainless-steel canisters over 72 hours using restricted flow inlets. A number of houses were randomly selected to also collect an outdoor sample. Each household, per campaign, was associated with at least three canister IDs and some with an additional outdoor sample.
This dataset contains information on all VOCs collected, listing in which season each sample was taken, the associated canister ID and the analytical instrument with which each VOC was measured. Household, demographic, and product use information is available, as is a logbook outlining further sample information.
Details
Previous Info: |
No news update for this record
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Previously used record identifiers: |
No related previous identifiers.
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Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
Data lineage: |
Data were collected by the University of York in collaboration with Givaudan UK, who provided a cohort of study participants and aided in survey design. Data were then sent for archiving at the Centre for Environmental Data Analysis (CEDA). |
File Format: |
Data are BADC CSV formatted.
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Related Documents
Process overview
Independent Instruments
York: 2 Dimensional GC-fid |
University of York gc-tof-ms |
Output Description | None |
- long_name: analysis_date
- names: analysis_date
- long_name: built_in_garage
- units: binary
- names: built_in_garage
- long_name: campaign
- units: categorical
- names: campaign
- long_name: canister_id
- units: alphanumeric_id
- names: canister_id
- units: alphanumeric_id
- long_name: canister_outdoor_id
- names: canister_outdoor_id
- units: binary
- long_name: coal
- names: coal
- units: categorical
- long_name: cooking_appliance
- names: cooking_appliance
- long_name: day
- names: day
- units: binary
- long_name: electric_central_heating
- names: electric_central_heating
- units: binary
- long_name: electric_cooking
- names: electric_cooking
- long_name: end_sampling
- names: end_sampling
- long_name: flowers
- names: flowers
- long_name: frequency_use
- names: frequency_use
- units: binary
- long_name: gas_central_heating
- names: gas_central_heating
- units: binary
- long_name: gas_cooking
- names: gas_cooking
- long_name: household
- names: household
- units: binary
- long_name: log_burner
- names: log_burner
- units: binary
- long_name: lpg_central_heating
- names: lpg_central_heating
- units: categorical
- long_name: number_of_bedrooms
- names: number_of_bedrooms
- units: categorical
- long_name: number_of_residents
- names: number_of_residents
- units: binary
- long_name: oil_central_heating
- names: oil_central_heating
- units: binary
- long_name: other_solid_fuel
- names: other_solid_fuel
- units: categorical
- long_name: other_solid_fuel_cooking_notes
- names: other_solid_fuel_cooking_notes
- units: categorical
- long_name: other_solid_fuel_heating_notes
- names: other_solid_fuel_heating_notes
- long_name: product
- names: product
- units: categorical
- long_name: property_era
- names: property_era
- units: categorical
- long_name: property_type
- names: property_type
- units: categorical
- long_name: resident_five_age_category
- names: resident_five_age_category
- units: categorical
- long_name: resident_five_gender
- names: resident_five_gender
- units: categorical
- long_name: resident_four_age_category
- names: resident_four_age_category
- units: categorical
- long_name: resident_four_gender
- names: resident_four_gender
- units: categorical
- long_name: resident_one_age_category
- names: resident_one_age_category
- units: categorical
- long_name: resident_one_gender
- names: resident_one_gender
- units: categorical
- long_name: resident_three_age_category
- names: resident_three_age_category
- units: categorical
- long_name: resident_three_gender
- names: resident_three_gender
- units: categorical
- long_name: resident_two_age_category
- names: resident_two_age_category
- units: categorical
- long_name: resident_two_gender
- names: resident_two_gender
- long_name: sample_type
- names: sample_type
- units: binary
- long_name: smoking
- names: smoking
- units: binary
- long_name: solid_fuel_cooking
- names: solid_fuel_cooking
- units: categorical
- long_name: solid_fuel_description
- names: solid_fuel_description
- long_name: start_pressure
- names: start_pressure
- long_name: start_sampling
- names: start_sampling
- long_name: week
- names: week
- units: categorical
- long_name: windows_description
- names: windows_description
- units: binary
- long_name: wood_stove
- names: wood_stove
Co-ordinate Variables
Temporal Range
2019-02-11T00:00:00
2019-09-25T23:59:59
Geographic Extent
51.8000° |
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0.5200° |
30.0600° |
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47.2700° |