44 Bushfire_Smoke_PM_Exposures
Project metadata | |
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Project Title | Bushfire_Smoke_PM_Exposures |
Owners | Ivan Hanigan, Geoffrey Morgan |
Project Abstract | This project provided nationally consistent bushfire-specific air pollution exposure dataset based on federated Australian air quality data system and GIS predictors such as satellite data, climate and land use. It brings together the vast amount of bushfire smoke air quality related data collected in Australia into a common platform (CARDAT) and provides air pollution exposure mapping, processing and analysis that links this data with population health data. |
44.1 Bushfire_Smoke_for_CAR_Project
Accessibility | Provision Status | Licence |
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Restricted | Working | other |
Metadata fields | |
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Short Name | Bushfire_Smoke_for_CAR_Project |
Title | Bushfire_Smoke_for_CAR_Project |
Creators | Geoffrey Morgan, Ivan Hanigan |
Contact Email | car.data@sydney.edu.au |
Abstract |
The CAR Bushfire Smoke Exposure project has two major outcomes attached: 1. CAR SEED funded project where we have to deliver an Australia wide surface of fire smoke and this is the project that is using the different versions of our models. 2. Peter Gibson Epi project where we deliver smoke exposure for South East Australia (from South QL down to Vic excluding Melbourne) Data prepared for the CAR bushfire smoke project modelling. This consists of a data frame of predictors of PM2.5 from bushfires. |
Study Extent | |
Associated Parties | |
Repository Path | |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_Smoke_for_CAR_Project |
External Link | |
Recommended Citation | CAR Firesmoke Project Team (2021): Bushfire specific PM2.5 modelling and output based on satellite and other land use and other predictors for Australia 2000-2021 produced for the CAR Bushfire Smoke Exposures project. Downloaded from CARDAT (dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_Smoke_for_CAR_Project |
44.2 Bushfire_Smoke_PM25_Gibson
Accessibility | Provision Status | Licence |
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NA | Provided | No licence |
Metadata fields | |
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Short Name | Bushfire_Smoke_PM25_Gibson |
Title | Bushfire_Smoke_PM25_Gibson |
Creators | Edward Jegasothy |
Contact Email | car.data@sydney.edu.au |
Abstract | This dataset is within the Bushfire Smoke PM Exposures project, containing extracted PM2.5 predictions at study addresses in Gibson. This dataset was originally derived from V1.2 predictions and was updated in September 2023 to draw from the V1.3 predictions as well as AWAP daily mean temperature. It plays a pivotal role in understanding the impact of bushfire smoke on PM2.5 concentrations in the Gibson area. |
Study Extent | |
Associated Parties | Cassandra Yuen |
Repository Path | ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_Smoke_PM25_Gibson |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_Smoke_PM25_Gibson |
External Link | |
Recommended Citation | Jegasothy, E. (2023): Bushfire_Smoke_PM25_Gibson. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_Smoke_PM25_Gibson |
44.3 Bushfire_specific_PM25_Aus_2001_2020_predictions_V1_3_V2_1
Accessibility | Provision Status | Licence |
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NA | Working | No licence |
Metadata fields | |
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Short Name | Bushfire_specific_PM25_Aus_2001_2020_predictions_V1_3_V2_1 |
Title | Bushfire_specific_PM25_Aus_2001_2020_predictions_V1_3_V2_1 |
Creators | Ivan Hanigan, Geoffrey Morgan, Nicolas Borchers, Cassandra Yuen, Joseph Van Buskirk |
Contact Email | car.data@sydney.edu.au |
Abstract |
This contains the R targets workflow for extracting predictors and performing the predictions for version 1.3 (corrected random forest) and version 2.1 (corrected DEEPER) of the CAR Bushfire Smoke Exposure project. Please see Bushfire_Smoke_for_CAR_Project for additional details. Flags for assigning days (e.g. fires moke, dust) are from version 1.2 with an extrapolation for coastal pixels. |
Study Extent | Australia, 2000-11 to 2020-12 |
Associated Parties | |
Repository Path | ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Aus_2001_2020_predictions_V1_3_V2_1 |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Aus_2001_2020_predictions_V1_3_V2_1 |
External Link | |
Recommended Citation | Hanigan, I., Morgan, G., Borchers-Arriagada, N., Yuen, C. & Van Buskirk, J. (2023): Bushfire_specific_PM25_Aus_2001_2020_predictions_V1_3_V2_1. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Aus_2001_2020_predictions_V1_3_V2_1 |
44.4 Bushfire_specific_PM25_Aus_2001_2020_v1_3
Accessibility | Provision Status | Licence |
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Restricted | Published | CC BY 4.0 |
Metadata fields | |
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Short Name | Bushfire_specific_PM25_Aus_2001_2020_v1_3 |
Title | Bushfire_specific_PM25_Aus_2001_2020_v1_3 |
Creators | Ivan Hanigan, Cassandra Yuen, Karthik Gopi, Nicolas Borchers, Joseph Van Buskirk, Geoffrey Morgan |
Contact Email | car.data@sydney.edu.au |
Abstract |
This dataset contains bushfire specific daily PM2.5 predictions for Australia from 2001 to 2020 based on a random forest model. This is version 1.3 of the CAR Bushfire Smoke Exposure project, superseding v1.2.. For more information and access see http://cardat.github.io/data_inventory/bushfire_specific_pm25_aus_2001_2020_v1_3.html. In addition to PM2.5 predictions, a Seasonal-Trend decomposition using LOESS (STL) decomposition was calculated for years 2001-2019, using a seasonal window of 45. Due to the abnormal levels of PM2.5 in January 2020 from severe bushfires, the year 2020 was not included in the STL calculation. However, the decomposition was extrapolated to 2020 using 2019 seasonal and trend values. Flags for classifying days of high PM2.5 (e.g. dust event, bushfire event) were taken from v1.2. As the v1.2 prediction grid was slightly smaller than that of v1.3, an extrapolation was performed on the flags to cover coastal pixels. The creator acknowledges the Sydney Informatics Hub and the University of Sydney’s high performance computing cluster Artemis for providing the high performance computing resources that have contributed to the production of this dataset. This research was undertaken with the assistance of resources from the Clean Air and health Research Data and Analysis Technology platform (CARDAT), which is supported by funds from The Centre for Safe Air (CSA; https://safeair.org.au/), which is funded by the National Health and Medical Research Council (2015584), the Curtin WHO Collaborating Centre for Climate Change and Health Impact Assessment, and the Australian Research Data Commons (ARDC) AirHealth Data Bridges project (https://doi.org/10.47486/PS022). The Bushfire Smoke Exposure project received seed funding project support from the CSA, as well as the ARDC Bushfire Data Challenges project (https://ardc.edu.au/project/assessing-the-impact-of-bushfire-smoke-on-health/) and the Australian National Health and Medical Research Council (APP2004514) Ideas Grant - Bushfire smoke exposure during pregnancy and epigenetic changes in offspring (https://www.nhmrc.gov.au/funding/find-funding/ideas-grants). |
Study Extent | 5km resolution grid over Australia, January 2001 to June 2020 |
Associated Parties | |
Repository Path | |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Aus_2001_2020_v1_3 |
External Link | https://doi.org/10.17605/OSF.IO/WQK4T |
Recommended Citation | Hanigan, Ivan; Yuen, Cassandra; Gopi, Karthik; Borchers-Arriagada, Nicholas; van Buskirk, Joseph; Morgan, Geoffrey (2023): Bushfire_specific_PM25_Aus_2001_2020_v1_3. Centre for Air pollution, energy and health Research. Dataset. https://doi.org/10.17605/OSF.IO/WQK4T |
44.5 Bushfire_specific_PM25_Aus_2001_2020_v2_1
Accessibility | Provision Status | Licence |
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NA | Published | No licence |
Metadata fields | |
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Short Name | Bushfire_specific_PM25_Aus_2001_2020_v2_1 |
Title | Bushfire_specific_PM25_Aus_2001_2020_v2_1 |
Creators | Yiwen Zhang |
Contact Email | car.data@sydney.edu.au |
Abstract |
This is version 2.1 of the CAR Bushfire Smoke Exposure project, superseding v2.0. Please see Bushfire_Smoke_for_CAR_Project for additional details. This dataset contains daily PM2.5 predictions for Australia from 2000-11 to 2020-12 based on a DEEPER ensemble model. The creator acknowledges the Sydney Informatics Hub and the University of Sydney’s high performance computing cluster Artemis for providing the high performance computing resources that have contributed to the production of this dataset. |
Study Extent | Australia, 2000-11 to 2020-12 |
Associated Parties | Ivan Hanigan, Geoffrey Morgan, Cassandra Yuen |
Repository Path | ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Aus_2001_2020_v2_1 |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Aus_2001_2020_v2_1 |
External Link | |
Recommended Citation | Zhang, Y. (2023): Bushfire specific PM2.5 output from v2.1 based on satellite and other land use and other predictors for Australia 2000-2020 produced for the CAR Bushfire Smoke Exposures project. Data downloaded from CARDAT (dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Aus_2001_2020_v2_1 |
44.6 Bushfire_specific_PM25_Aus_2020_2023_v1_3
Accessibility | Provision Status | Licence |
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NA | QC | No licence |
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Short Name | Bushfire_specific_PM25_Aus_2020_2023_v1_3 |
Title | Bushfire_specific_PM25_Aus_2020_2023_v1_3 |
Creators | Ivan Hanigan, Cassandra Yuen, Karthik Gopi, Nicolas Borchers, Joseph Van Buskirk, Geoffrey Morgan |
Contact Email | car.data@sydney.edu.au |
Abstract | This dataset contains bushfire specific daily PM2.5 predictions for Australia from 2020 to 2023 based on the Bushfire Smoke V1.3 random forest model. In addition to PM2.5 predictions, a Seasonal-Trend decomposition using LOESS (STL) decomposition was calculated for years 2021-2023, using a seasonal window of 45. Due to the abnormal levels of PM2.5 in January 2020 from severe bushfires, the year 2020 was not included in the STL calculation. However, the decomposition was extrapolated to 2020 using 2021 seasonal and trend values. Extrapolation was performed to cover coastal pixels, taking the average of adjacent pixels where NA. The creators acknowledge the Sydney Informatics Hub and the University of Sydney’s high performance computing cluster Artemis for providing the high performance computing resources that have contributed to the production of this dataset. This research was undertaken with the assistance of resources from the Clean Air and health Research Data and Analysis Technology platform (CARDAT), which is supported by funds from The Centre for Safe Air (CSA; https://safeair.org.au/), which is funded by the National Health and Medical Research Council (2015584), the Curtin WHO Collaborating Centre for Climate Change and Health Impact Assessment, and the Australian Research Data Commons (ARDC) AirHealth Data Bridges project (https://doi.org/10.47486/PS022). The Bushfire Smoke Exposure project received seed funding project support from the CSA, as well as the ARDC Bushfire Data Challenges project (https://ardc.edu.au/project/assessing-the-impact-of-bushfire-smoke-on-health/) and the Australian National Health and Medical Research Council (APP2004514) Ideas Grant - Bushfire smoke exposure during pregnancy and epigenetic changes in offspring (https://www.nhmrc.gov.au/funding/find-funding/ideas-grants). |
Study Extent | Australia, 2020 to 2023 |
Associated Parties | |
Repository Path | ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Aus_2020_2023_v1_3 |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Aus_2020_2023_v1_3 |
External Link | |
Recommended Citation | Hanigan, I., Yuen, C., Gopi, K., Borchers-Arriagada, N., van Buskirk, J. & Morgan, G. (2023): Bushfire specific PM2.5 output from v1.3 based on satellite and other land use and other predictors for Australia 2020-2023 produced for the CAR Bushfire Smoke Exposures project. CAR. (Dataset). https://doi.org/10.17605/OSF.IO/47C6B |
44.7 Bushfire_specific_PM25_Syd_GMR_2006_2020_v1_1
Accessibility | Provision Status | Licence |
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Restricted | Published | other |
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Short Name | Bushfire_specific_PM25_Syd_GMR_2006_2020_v1_1 |
Title | Bushfire_specific_PM25_Syd_GMR_2006_2020_v1_1 |
Creators | Joseph Van Buskirk, Ivan Hanigan |
Contact Email | car.data@sydney.edu.au |
Abstract |
This dataset comprises deliverable 1.1 of the Centre for Air pollution, energy and health Research (CAR) Bushfire Smoke Exposures Project. Source-specific PM2.5 surfaces from bushfires at SA2 resolution. The columns in the data include: Variable name Description Date Date in ymd format, between 01/01/2006 and 31/08/2020 SA2_MAIN16 Nine number code signifying NSW SA2 within the Sydney GMR ClimateZone Broad climate zone category used to calculate 95th percentiles for the region ClimateZone.P95 The 95th percentile for PM2.5 for that climate region, derived from monitoring station values for the period between 2000 and 2018. 2019/2020 are excluded due to the extreme values seem in the 2019/2020 bushfire season. PM25.PopWt Inverse distance weighted PM2.5 estimate, population weighted at the SA2 level using the relevant annual ABS population grid FireFlag Flag obtained from the validated bushfire events database, indicated a validated bushfire event occurring on that day FireImpFlag As above, but with two day lag tolerance. That is, if two bushfire events are separated by two non-bushfire events, these days are ‘imputed’ as bushfire event days Bushfire.pm25 Remainder component of the seasonal trend loess decomposition, provided a bushfire event was observed (FireFlag), and the interpolated PM2.5 exceeded the 95th percentile for the region (PM25.popwt > ClimateZone.P95) Bushfire.pm25.imp Remainder component of the seasonal trend loess decomposition, provided a bushfire event was observed, including imputed days (FireImpFlag), and the interpolated PM2.5 exceeded the 95th percentile for the region (PM25.popwt > ClimateZone.P95). SeasonalTrend The sum of the seasonal and trend components of the STL decomposition. The difference between this and the population weighted value is the ‘remainder’ and is assumed to be the component specific to bushfire smoke in the calculation of the above two variables |
Study Extent | Sydney GMR. The Sydney GMR into climate zones (Sydney East, Sydney West, Gosford–Wyong, Newcastle and Wollongong) using a dataset created by Khalaj et al. (Khalaj et al. 2010). These five zones were classified using a variance partitioning model for data from Sydney weather stations. The authors defined temperature regions by maximising the ratio of between-group to within-group temperature variance. ABS Statistical local areas (SLA) within Sydney were then assigned to the regions. See Khalaj, Behnoosh, Glenis Lloyd, Vicky Sheppeard, and Keith Dear. 2010. “The Health Impacts of Heat Waves in Five Regions of New South Wales, Australia: A Case-Only Analysis.” International Archives of Occupational and Environmental Health. https://doi.org/10.1007/s00420-010-0534-2. |
Associated Parties | |
Repository Path | |
Repository Link | https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Syd_GMR_2006_2020_v1_1 |
External Link | |
Recommended Citation | Van Buskirk, J. & Hanigan, I. (2021): Bushfire specific PM25 surface at ABS SA1 for Sydney GMR 2006-2020. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files/?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/Bushfire_specific_PM25_Syd_GMR_2006_2020_v1_1 |
44.8 DatSci_bushfire_specific_pm25_for_lga_2021_2001_2020_v1_3
Accessibility | Provision Status | Licence |
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NA | Provided | No licence |
Metadata fields | |
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Short Name | DatSci_bushfire_specific_pm25_for_lga_2021_2001_2020_v1_3 |
Title | DatSci_bushfire_specific_pm25_for_lga_2021_2001_2020_v1_3 |
Creators | Ivan Hanigan |
Contact Email | car.data@sydney.edu.au |
Abstract |
Emily O’Brien, Principal Policy Officer, Preparedness, State Preparedness and Response Unit contacted Matthew Riley at NSW DPE asking ‘NSW Health is looking into implementing a mask distribution strategy to protect communities in high risk bushfire areas against smoke inhalation. Have either of your teams done analysis to identify areas at high risk of bushfires and smoke? And if so do you also have the breakdown of populations in each of the council areas?’. Ivan and Geoff responded as part of the ARDC Bushfire smoke data challenge project. |
Study Extent | |
Associated Parties | |
Repository Path | https://github.com/cardat/DatSci_bushfire_specific_pm25_for_lga_2021_2001_2020_v1_3 |
Repository Link | https://cloud.car-dat.org/index.php/apps/files?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/DatSci_bushfire_specific_pm25_for_lga_2021_2001_2020_v1_3 |
External Link | |
Recommended Citation | Hanigan, I. (2023): DatSci_bushfire_specific_pm25_for_lga_2021_2001_2020_v1_3. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/DatSci_bushfire_specific_pm25_for_lga_2021_2001_2020_v1_3 |
44.9 DatSci_bushfire_specific_pm25_for_sa1_2016_2001_2020_v1_3
Accessibility | Provision Status | Licence |
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NA | Published | No licence |
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Short Name | DatSci_bushfire_specific_pm25_for_sa1_2016_2001_2020_v1_3 |
Title | DatSci_bushfire_specific_pm25_for_sa1_2016_2001_2020_v1_3 |
Creators | Ivan Hanigan |
Contact Email | car.data@sydney.edu.au |
Abstract | This dataset developed in collaboration with Lucas to support his GCC study. Recognizing the broader applicability of SA1 data, this dataset offers specific PM2.5 measurements for SA1 regions during the years 2001-2020. Designed to investigate the impact of bushfire smoke on air quality, this dataset provides valuable insights into fine particulate matter concentrations at a localized level. |
Study Extent | |
Associated Parties | |
Repository Path | ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/DatSci_bushfire_specific_pm25_for_sa1_2016_2001_2020_v1_3 |
Repository Link | https://cloud.car-dat.org/index.php/apps/files?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/DatSci_bushfire_specific_pm25_for_sa1_2016_2001_2020_v1_3 |
External Link | |
Recommended Citation | Hanigan, I. (2023): DatSci_bushfire_specific_pm25_for_sa1_2016_2001_2020_v1_3. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/DatSci_bushfire_specific_pm25_for_sa1_2016_2001_2020_v1_3 |
44.10 DatSci_bushfire_specific_pm25_for_sa2_2016_2001_2020_v1_3
Accessibility | Provision Status | Licence |
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NA | Provided | No licence |
Metadata fields | |
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Short Name | DatSci_bushfire_specific_pm25_for_sa2_2016_2001_2020_v1_3 |
Title | DatSci_bushfire_specific_pm25_for_sa2_2016_2001_2020_v1_3 |
Creators | Cassandra Yuen, Ivan Hanigan |
Contact Email | car.data@sydney.edu.au |
Abstract | This dataset is an extraction of Bushfire Smoke V1.3 PM2.5 predictions, STL decomposition components and flags, originally produced for AIHW to use in their National Climate Risk Assessment. Bushfire Smoke rasters were geographically-weighted averaged to ABS SA2 2016 polygons. SA2s are identified by their full 11-digit code, and empty geometries have been removed. |
Study Extent | Australia, SA2 2016 boundaries |
Associated Parties | |
Repository Path | ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/DatSci_bushfire_specific_pm25_for_sa2_2016_2001_2020_v1_3 |
Repository Link | https://cloud.car-dat.org/index.php/apps/files?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/DatSci_bushfire_specific_pm25_for_sa2_2016_2001_2020_v1_3 |
External Link | |
Recommended Citation | Hanigan, I. (2024): DatSci_bushfire_specific_pm25_for_sa2_2016_2001_2020_v1_3. Centre for Safe Air. (Dataset). https://cloud.car-dat.org/index.php/apps/files?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/DatSci_bushfire_specific_pm25_for_sa2_2016_2001_2020_v1_3 |
44.11 ResPrj_bushfire_pm25_v1_3_abs_2016_gcc_aihw_mortality_2001-2019
Accessibility | Provision Status | Licence |
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NA | Identified | No licence |
Metadata fields | |
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Short Name | ResPrj_bushfire_pm25_v1_3_abs_2016_gcc_aihw_mortality_2001-2019 |
Title | ResPrj_bushfire_pm25_v1_3_abs_2016_gcc_aihw_mortality_2001-2019 |
Creators | Lucas Hertzog |
Contact Email | car.data@sydney.edu.au |
Abstract | This dataset developed in collaboration with Ivan and Geoff to investigate the Health Impact Assessment (HIA) burden of daily PM2.5 exposure. It offers comprehensive PM2.5 measurements, specifically focusing on the years 2001 to 2019, and its association with mortality outcomes. |
Study Extent | |
Associated Parties | |
Repository Path | ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/ResPrj_bushfire_pm25_v1_3_abs_2016_gcc_aihw_mortality_2001-2019 |
Repository Link | https://cloud.car-dat.org/index.php/apps/files?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/ResPrj_bushfire_pm25_v1_3_abs_2016_gcc_aihw_mortality_2001-2019 |
External Link | |
Recommended Citation | Hertzog, L. (2023): ResPrj_bushfire_pm25_v1_3_abs_2016_gcc_aihw_mortality_2001-2019. CAR. (Dataset). https://cloud.car-dat.org/index.php/apps/files?dir=/ResearchProjects_CAR/Bushfire_Smoke_PM_Exposures/ResPrj_bushfire_pm25_v1_3_abs_2016_gcc_aihw_mortality_2001-2019 |