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Data for Projecting and valuing climate change impacts on anxiety and depression in the contiguous United States

Published by U.S. Environmental Protection Agency | U.S. Environmental Protection Agency | Catalog Last Checked: August 03, 2026 at 12:52 AM | Dataset Last Updated: November 26, 2024
The data saved here are for a forthcoming article, Projecting and valuing climate change impacts on anxiety and depression in the contiguous United States. This dataset is associated with the following publication: Belova, A., K. Munson, D. Keeler, M. Sluder, A. Kiesel, M.C. Sarofim, R. Silva, S. Anenberg, S. Clayton, and C.A. Gould. Projecting and valuing climate change impacts on anxiety and depression in the contiguous USA: a damage function approach. The Lancet Planetary Health. Elsevier B.V., Amsterdam, NETHERLANDS, 10(2): 101426, (2026).

Resources

37 resources available

  • D1_sampling_state_age_sex_data_PRESENT_binned_dem_2025-0412.csv

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  • D1_sampling_state_age_sex_data_PRESENT_binned_hi_2025-0412.csv

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  • D1_sampling_state_age_sex_data_PRESENT_binned_li_2025-0412.csv

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  • D2_sampling_state_age_sex_data_PRESENT_binned_dem_2025-0413.csv

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  • D2_sampling_state_age_sex_data_PRESENT_binned_hi_2025-0413.csv

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  • D2_sampling_state_age_sex_data_PRESENT_binned_li_2025-0413.csv

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  • D3_sampling_state_age_sex_data_FUTURE_binned_dem_2025-0413.csv

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  • D3_sampling_state_age_sex_data_FUTURE_binned_dem_urb_2025-0413.csv

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  • D3_sampling_state_age_sex_data_FUTURE_binned_hi_2025-0413.csv

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  • D3_sampling_state_age_sex_data_FUTURE_binned_li_2025-0413.csv

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  • D3_sampling_state_age_sex_data_PRESENT_binned_li_2025-0413.csv

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  • D3_sampling_state_age_sex_data_PRESENT_longdiff_urb_seastemp_2025-0413.csv

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  • D4_sampling_state_age_sex_data_FUTURE_binned_dem_2025-0413.csv

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  • D4_sampling_state_age_sex_data_FUTURE_binned_hi_2025-0413.csv

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  • D4_sampling_state_age_sex_data_PRESENT_binned_dem_2025-0413.csv

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  • DATA_README.html

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  • processed-climate.zip

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  • processed-other.zip

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  • raw-incidence.zip

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  • raw-valuation.zip

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  • results-point_2024-1010-county_Y2015.zip

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  • results-point_2024-1010-county_Y2025.zip

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  • results-point_2024-1010-county_Y2035.zip

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  • results-point_2024-1010-county_Y2045.zip

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  • results-point_2024-1010-county_Y2055.zip

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  • results-point_2024-1010-county_Y2065.zip

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  • results-point_2024-1010-county_Y2075.zip

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  • results-point_2024-1010-county_Y2085.zip

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  • results-point_2024-1010-county_Y2095.zip

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  • results-point_2025-0411-county_D1D6.zip

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  • results-point_2025-0411-county_climate_annual_metrics.zip

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  • results-point_2025-0411-state_D1D6.zip

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  • results-sampling_2025-0411-state_D5_allCONUS.zip

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  • results-sampling_2025-0411-state_D5_urbanCONUS.zip

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  • results-sampling_2025-0411-state_D6_allCONUS.zip

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  • results-sampling_2025-0411-state_D6_urbanCONUS.zip

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  • results-summaries.zip

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Complete Metadata
@type dcat:Dataset
accessLevel public
bureauCode 
[
  "020:00"
]
contactPoint 
{
  "fn": "Caitlin Gould",
  "hasEmail": "mailto:gould.caitlin@epa.gov"
}
description The data saved here are for a forthcoming article, Projecting and valuing climate change impacts on anxiety and depression in the contiguous United States. This dataset is associated with the following publication: Belova, A., K. Munson, D. Keeler, M. Sluder, A. Kiesel, M.C. Sarofim, R. Silva, S. Anenberg, S. Clayton, and C.A. Gould. Projecting and valuing climate change impacts on anxiety and depression in the contiguous USA: a damage function approach. The Lancet Planetary Health. Elsevier B.V., Amsterdam, NETHERLANDS, 10(2): 101426, (2026).
distribution 
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]
identifier https://doi.org/10.23719/1531881
keyword 
[
  "CIRA",
  "Econometrics",
  "climate change",
  "environmental health",
  "mental health",
  "public health"
]
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2024-11-26
programCode 
[
  "020:000"
]
publisher 
{
  "name": "U.S. Environmental Protection Agency",
  "subOrganizationOf": {
    "name": "U.S. Government"
  }
}
references 
[
  "https://doi.org/10.1016/j.lanplh.2025.101426"
]
rights 
null
title Data for Projecting and valuing climate change impacts on anxiety and depression in the contiguous United States

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