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Lin, Y., Kouznetsova, T., Chang, C., Craig, S. (2024). Data from: Enhanced polymer mechanical degradation through mechanochemically unveiled lactonization. Duke Research Data Repository. V2 http://doi.org/10.7924/r4fq9x365
Chavez, S. P., Silva, Y., & Barros, A. P. (2024). Data from: High-elevation monsoon precipitation processes in the Central Andes of Peru. Duke Research Data Repository. V2 http://doi.org/10.7924/r41n84j94
Jeuland, M., Ohlendorf, N., Saparapa, R., & Steckel, J. (2024). Data from: Climate implications of electrification projects in the developing world: a systematic review. Duke Research Data Repository. http://doi.org/10.7924/r42n55g1z
Cardones, A. R., Hall, III, R. P., Sullivan, K., Hooten, J., Lee, S. Y., Liu, B. L., Green, C., Chao, N., Rowe Nichols, K., Bañez, L., Shah, A., Leung, N., & Palmeri, M. L. (2024). Data from: Quantifying skin stiffness in graft-versus-host disease, morphea and systemic sclerosis using acoustic radiation force impulse imaging and shear wave elastography. Duke Research Data Repository. http://doi.org/10.7924/r4h995b4q
蘑菇加速器-蘑菇加速器官网-蘑菇加速器破解版永久免费-ios安卓app免费下载官网
The Duke Research Data Repository accepts data, documentation, software, and other code related to the teaching and research mission of Duke University, including data linked to a publication, research project, and/or class projects. Data deposit is open to all members of the Duke Community with a valid netid.
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