Datasets from research funded through grant number P42ES010356:
Duke Superfund Collection at Duke University Libraries Digital Research Data Repository (many datasets are shared here)
Weinhouse, C., Perez, L., Ryde, I., Goodrich, J. M., Miranda, J. J., Hsu-Kim, H., et al. (2025). High exposure variance enables candidate biomarker detection in a small EWAS of methylmercury-exposed Peruvian adults. BMC Genomic Data, 26(1), 68–z. doi:10.1186/s12863-025-01352-z. PMID: 41023841; PMCID: PMC12482037. NCBI Datasets
Additional datasets of DUSRC researchers:
Cowan, E. A., Wang, Z., Brachfeld, S. A., Hageman, S. J., Seramur, K. C., Pearson, W. F., et al. (2024). Role of coal ash morphology and composition in delivery and transport of trace metals in the aquatic environment. Environmental Pollution, 363, 124982. doi:10.1016/j.envpol.2024.124982 Rock-magnetic data are archived through the Magnetics Information Consortium (MagIC) Database at EarthRef.org, contributions earthref.org/MagIC/20176 and earthref.org/MagIC/20181 at https://doi.org/10.7288/V4/MAGIC/20176 and https://doi.org/10.7288/V4/MAGIC/20181, respectively. Other data is available in the Supplementary Material
Dai, Y., Zhou, Z., Yu, W., Ma, Y., Kim, K., Rivera, N., et al. (2024). Biomolecular condensates regulate cellular electrochemical equilibria. Cell, 187(21), 5951–5966.e18. doi:10.1016/j.cell.2024.08.018. Raw data generated from this study have been deposited at the Dai Lab Github repository: https://github.com/Dailabwustl/Condensate-electrochemical-potential-of-cell and are publicly available via zenodo DOI://doi.org/10.5281/zenodo.12769620
Fowler, C. H., Reuben, A., Stapleton, H. M., Hoffman, K., Herkert, N., Barakat, L., et al. (2025). Children’s exposure to chemical contaminants: Demographic disparities and associations with the developing basal ganglia Elsevier BV. doi:10.1016/j.envres.2024.119990. https://osf.io/gfd9k/overview
Hickman E, Frey J, Wylie A, Hartwell HJ, Herkert NJ, Short SJ, Mills-Koonce WR, Fry RC, Stapleton HM, Propper C, Rager JE. (2024). Chemical and non-chemical stressors in a postpartum cohort through wristband and self report data: Links between increased chemical burden, economic, and racial stress. Environ Int. 2024 Sep;191:108976. doi: 10.1016/j.envint.2024.108976. Epub 2024 Aug 23. PMID: 39216331; PMCID: PMC11460120. Link to code and data: https://github.com/Ragerlab/2024_Hickman_Chemical-and-non-chemical-stressors-in-a-postpartum-cohort-through-wristband-and-self-r