Published June 7, 2023
| Version v1
Dataset
Open
XIS: A daily spatiotemporal machine-learning model for environmental exposures in the contiguous United States
Description
These Parquet files contain the outputs used for many analyses and plots in the linked papers. The full set of observations for cross-validation in the case of temperature is not included because we used restricted-use MADIS data.
Files
Files
(1.1 GB)
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md5:563bc46844de87471c538f91ed0457ac
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265 Bytes | Download |
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md5:d1cf90dbc7409271c731c47dcc1f1bfe
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61.6 MB | Download |
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md5:5840518231e561dc035520435f2bd991
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28.7 MB | Download |
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md5:28d0f8cea6b61fe17d1b24df8db38235
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2.1 MB | Download |
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md5:329eeb6818f1fd6e739cf335cb4666ce
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318.4 MB | Download |
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md5:4ed110df6488e9fec0b923abf88e37dc
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6.7 kB | Download |
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md5:2815a1b0297c615fff838a9d706dbc51
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698.0 MB | Download |
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md5:37e67e35cf17e4f01b2d60af25d9d064
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1.8 MB | Download |
Additional details
References
- Just A C, Arfer K B, Rush J, Lyapustin A, Kloog I. XIS-PM2.5: A daily spatiotemporal machine-learning model for PM2.5 in the contiguous United States. Earth and Space Science Open Archive. [Preprint]. November 17, 2022 Available from: https://doi.org/10.1002/essoar.10512861.1
- Just A C, Arfer K B, Rush J, Kloog I. Smart Citations 0 0 0 0 Citing PublicationsSupportingMentioningContrasting View Citations See how this article has been cited at scite.ai scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made. XIS-Temperature: A daily spatiotemporal machine-learning model for air temperature in the contiguous United States. Earth and Space Science Open Archive. [Preprint]. February 9, 2023. Available from: https://doi.org/10.22541/essoar.167591086.68441300/v1