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Part 1: Document Description
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Citation |
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Title: |
CHAIR - India Annual 1km x 1km Modeled PM2.5 2008 - 2022 |
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Identification Number: |
doi:10.7910/DVN/TZKQS0 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2025-02-27 |
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Version: |
1 |
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Bibliographic Citation: |
Mandal S, Rajiva A, Kloog I, Menon JS, Lane KJ, Amini H, Walia GK, Dixit S, Nori-Sarma A, Dutta A, Sharma P, Jaganathan S, Madhipatla KK, Wellenius GA, de Bont J, Venkataraman C, Prabhakaran D, Prabhakaran P, Ljungman P, Schwartz J., 2025, "CHAIR - India Annual 1km x 1km Modeled PM2.5 2008 - 2022", https://doi.org/10.7910/DVN/TZKQS0, Harvard Dataverse, V1 |
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Citation |
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Title: |
CHAIR - India Annual 1km x 1km Modeled PM2.5 2008 - 2022 |
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Identification Number: |
doi:10.7910/DVN/TZKQS0 |
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Authoring Entity: |
Mandal S, Rajiva A, Kloog I, Menon JS, Lane KJ, Amini H, Walia GK, Dixit S, Nori-Sarma A, Dutta A, Sharma P, Jaganathan S, Madhipatla KK, Wellenius GA, de Bont J, Venkataraman C, Prabhakaran D, Prabhakaran P, Ljungman P, Schwartz J. (Centre for Chronic Disease Control, India) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Ljungman, Petter |
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Depositor: |
Gause, Emma |
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Date of Deposit: |
2025-02-10 |
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Holdings Information: |
https://doi.org/10.7910/DVN/TZKQS0 |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Medicine, Health and Life Sciences, Air Pollution, Particulate Matter |
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Abstract: |
The work is led and coordinated centrally through the Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden (PI Petter Ljungman) in close collaboration with the Centre for Chronic Disease Control, Delhi, India (PI Dorairaj Prabhakaran), Centre for Health Analytics Research and Trends, Trivedi School of Biosciences, Ashoka University (PI Poornima Prabhakaran) and Department of Environmental Health, Harvard T H Chan School of Public Health (PI Joel Schwartz). We developed a model for annual average ambient PM2.5 between 2008 and 2020 based on monitoring data, meteorology, land use, satellite observations, and emissions inventories. Annual average predictions at each 1 km × 1 km grid from each learner were ensembled using a Gaussian process regression with anisotropic smoothing over spatial coordinates, and regression calibration was used to account for exposure error. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/licenses/by-sa/4.0">CC BY-SA 4.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Mandal S, Rajiva A, Kloog I, Menon JS, Lane KJ, Amini H, Walia GK, Dixit S, Nori-Sarma A, Dutta A, Sharma P, Jaganathan S, Madhipatla KK, Wellenius GA, de Bont J, Venkataraman C, Prabhakaran D, Prabhakaran P, Ljungman P, Schwartz J. Nationwide estimation of daily ambient PM2.5 from 2008 to 2020 at 1 km2 in India using an ensemble approach. PNAS Nexus. 2024 Mar; 3(3):pgae088. PMID: 38456174. doi: doi.org/10.1093/pnasnexus/pgae088 |
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Bibliographic Citation: |
Mandal S, Rajiva A, Kloog I, Menon JS, Lane KJ, Amini H, Walia GK, Dixit S, Nori-Sarma A, Dutta A, Sharma P, Jaganathan S, Madhipatla KK, Wellenius GA, de Bont J, Venkataraman C, Prabhakaran D, Prabhakaran P, Ljungman P, Schwartz J. Nationwide estimation of daily ambient PM2.5 from 2008 to 2020 at 1 km2 in India using an ensemble approach. PNAS Nexus. 2024 Mar; 3(3):pgae088. PMID: 38456174. doi: doi.org/10.1093/pnasnexus/pgae088 |
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