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Chen, Y., Jiang, Y., Li, J., Hong, X., Ni, H., Wang, L., Ma, N., Tong, M., Krishna, R., & Zhang, Y. (2025). CCDC 2281038: Experimental Crystal Structure Determination [Data set]. Cambridge Crystallographic Data Centre. https://doi.org/10.5517/ccdc.csd.cc2gklwj
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Chen, Y., Jiang, Y., Li, J., Hong, X., Ni, H., Wang, L., Ma, N., Tong, M., Krishna, R., & Zhang, Y. (2025). CCDC 2281039: Experimental Crystal Structure Determination [Data set]. Cambridge Crystallographic Data Centre. https://doi.org/10.5517/ccdc.csd.cc2gklxk
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NGAN, H.-L., Turkina, V., van Herwerden, D., Yan, H., Cai, Z., & Samanipour, S. (2025, January 28). Additional Data from: Machine Learning for Enhanced Identification in RPLC/HRMS Non-Targeted Workflows [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14752892
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Helmus, R., Bagdonaite, I., de Voogt, W. P., van Bommel, M. R., Schymanski, E., van Wezel, A. P., & ter Laak, T. L. (2025, January 16). Code accompanying the manuscript "Comprehensive mass spectrometry workflows to systematically elucidate transformation processes of organic micropollutants: a case study on photodegradation of four pharmaceuticals" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14671663
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Hulleman, T., Samanipour, S., Haddad, P., Raurert, C., Okoffo, E., Thomas, K., & O'Brien, J. (2025, May 23). Data for: Machine learning for predicting environmental mobility based on retention behaviour [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15493723
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Bezaly, O. R., Petrignani, A., & King, H. E. (2025, May 22). Data for paper on Meteorite-common amino acid induces clay exfoliation and abiotic compartment formation [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.28944374.v1
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Ran, Y. A., Dubbeldam, D., Vlugt, T. J. H., & Calero Diaz, S. (2025, September 17). Data accompanying "Matching Pure and Mixture Isotherms using an Invertible Autoencoder". [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.30148591.v1
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Brouwer, A. M. (2025, November 18). Data repository for "Photochemistry of Aromatic N-oxides in Water Probed by Time-Resolved X-ray Absorption Spectroscopy" [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.30073672.v1
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van den Hurk, R. S., Lemmink, I. B., van Schaik, J. R., Hulsbergen, A. W. C., Peters, R. A. H., Pirok, B. W. J., & van Asten, A. C. (2025). Characterizing nitrocellulose by nitration degree and molecular weight: A user-friendly yet powerful forensic comparison method for smokeless powders. Forensic Chemistry, 42, Article 100637. https://doi.org/10.1016/j.forc.2024.100637 -
Rothenberg, G., & Gitis, V. (Eds.) (2025). Handbook of Energy, Environment, and the Circular Economy. - Volume 1: From Fossil Fuels to Sustainable Business Models. (Energy & climate; Vol. 1). World Scientific. https://doi.org/10.1142/13834
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