Published June 7, 2023
| Version v1
Dataset
Open
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. 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)
| Name | Size | |
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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