{"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"]}

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.