Published May 13, 2025
| Version v3
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XIS: A daily spatiotemporal machine-learning model for environmental exposures in the contiguous United States
Authors/Creators
Description
These Parquet files contain the outputs used for many analyses and plots in the linked papers. For temperature and humidity, the full sets of observations for cross-validation aren't included because we used restricted-use MADIS data.
Files
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(5.6 GB)
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md5:9d3ee6b6f5abc19c3045d806ffcd719c
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md5:a2a5fb45ee4cbd12c5c2e930d4171adb
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md5:306998309f1716bb1f1bf94d6ff30499
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70.2 MB | Download |
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md5:634804e3bace3649971ece44a5b25282
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34.4 MB | Download |
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md5:2ab0d055034abdf72a983e77a6a91e9e
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2.4 MB | Download |
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md5:5ffe015bfa725175a5276ff61f41c891
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308.3 MB | Download |
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md5:22de489ace248a044a3e60b38410f6f8
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8.3 kB | Download |
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md5:cac3109bbdde66e47bfe9d9689071dbf
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786.0 MB | Download |
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md5:16f4a81e407f137bc7a41c21b3c69b0a
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2.5 MB | Download |
Additional details
References
- Just, A. C., Arfer, K. B., Rush, J., Lyapustin, A., & Kloog, I. (2025). XIS-PM_{2.5}: A daily spatiotemporal machine-learning model for PM_{2.5} in the contiguous United States. Environmental Research, 271. doi:10.1016/j.envres.2025.120948. Retrieved from http://arfer.net/projects/xis/paper-pm25.pdf
- Just, A. C., Arfer, K. B., Rush, J., & Kloog, I. (2025). XIS-Temperature: A daily spatiotemporal machine-learning model for air temperature in the contiguous United States. Environmental Research, 270. doi:10.1016/j.envres.2024.120731. Retrieved from http://arfer.net/projects/xis/paper-temperature.pdf
- Arfer, K. B., & Just, A. C. (forthcoming). XIS-Humidity: A daily spatiotemporal machine-learning model for dew point in the contiguous United States.