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ZIP Archive - 696.5 MB - MD5: 2331b317e01dea5013b46272e41f705b
This folder contains all original data associated with the manuscript. It includes an Excel spreadsheet which lists the filenames and associated variables for the particular data set. The original data is in the Nanonis .sxm format.
Plain Text - 1.4 KB - MD5: 160d1ed0efd24567fb3927d6dc6de732
Read me file
ZIP Archive - 15.5 MB - MD5: 511df88eb8a3d8a117dcf01f2014eb15
This folder contains scripts used to generate calculated results and also to analyze data.
May 11, 2023
Krall, Jenna R, 2023, "Road density, road features, and in-vehicle PM2.5 during daily trips taken by Washington, DC metro area commuters", https://doi.org/10.13021/ORC2020/9EA00H, George Mason University Dataverse, V1, UNF:6:+x5TcYrmAs3MUZthKeXuRQ== [fileUNF]
This dataset was used to conduct all analyses in the working paper, "Short-term associations of road density and road features with in-vehicle PM2.5 during daily trips" by Jenna R. Krall, Jonathan Thornburg, Ting Zhang, Anna Z. Pollack, Yi-Ching Lee, Michelle McCombs, and Lucas R...
Adobe PDF - 58.6 KB - MD5: 182bf9d2eb1026696b42c040944be213
README file for roadden.csv
Tabular Data - 567.5 KB - 29 Variables, 2311 Observations - UNF:6:+x5TcYrmAs3MUZthKeXuRQ==
Dataset
Tabular Data - 16.2 KB - 2 Variables, 142 Observations - UNF:6:C7YnX1YYIjX7P/FfxvxdMw==
Data files and their interaction tags
Unknown - 751.6 MB - MD5: 752741fed5e738ff92af06cfd1c99d55
Unknown - 878.3 MB - MD5: cc9df287937f1582bbc4a24adc135f12
Unknown - 1.0 GB - MD5: e616de7ee0a53959e70c057fbd01ce17
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