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Results: 71
Number of items: 71
  • Open Access
    Yang, F., van Herwerden, D., Preud’homme, H., & Samanipour, S. (2022). Collision Cross Section Prediction with Molecular Fingerprint Using Machine Learning. Molecules, 27(19), Article 6424. https://doi.org/10.3390/molecules27196424
  • Open Access
    Shimko, K. M., O'Brien, J. W., Li, J., Tscharke, B. J., Brooker, L., Thai, P. K., Choi, P. M., Samanipour, S., & Thomas, K. V. (2022). In-Sewer Stability Assessment of Anabolic Steroids and Selective Androgen Receptor Modulators. Environmental Science and Technology, 56(3), 1627-1638. https://doi.org/10.1021/acs.est.1c03047
  • Samanipour, S., van Herwerden, D., Kaserzon, S., Schulze, B., Allan, I., Bijlsma, L., Etxebarria, N., Hansen, M., Merel, S., Vrana, B., Aalizadeh, R., Bajema, B., Dubocq, F., Coppola, G., Fildier, A., Fialová, P., Frøkjær, E., Grabic, R., Gago-Ferrero, P., … Young, R. (2021). MassIVE MSV000087368 - GNPS Inter-laboratory dataset from a collaborative trial for future use in the development of non-target analysis [Data set]. UC San Diego. https://doi.org/10.25345/c5jv6c
  • Schulze, B., van Herwerden, D., Allan, I., Bijlsma, L., Etxebarria, N., Hansen, M., Merel, S., Vrana, B., Aalizadeh, R., Bajema, B., Dubocq, F., Coppola, G., Fildier, A., Fialová, P., Frøkjær, E., Grabic, R., Gago-Ferrero, P., Gravert, T., Hollender, J., … Samanipour, S. (2021). Metadata record for: Inter-laboratory high resolution mass spectrometry dataset based on passive sampling of drinking water for non-target analysis [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.15028665.v1
  • Open Access
    Ahmed, F., Li, J., O'Brien, J. W., Tscharke, B. J., Samanipour, S., Thai, P. K., Yuan, Z., Mueller, J. F., & Thomas, K. V. (2021). In-sewer stability of selected analgesics and their metabolites. Water Research, 204, Article 117647. https://doi.org/10.1016/j.watres.2021.117647
  • Open Access
    Samanipour, S., Choi, P., O'Brien, J. W., Pirok, B. W. J., Reid, M. J., & Thomas, K. V. (2021). From Centroided to Profile Mode: Machine Learning for Prediction of Peak Width in HRMS Data. Analytical Chemistry, 93(49), 16562–16570. https://doi.org/10.1021/acs.analchem.1c03755
  • Open Access
    Rødland, E. S., Samanipour, S., Rauert, C., Okoffo, E. D., Reid, M. J., Heier, L. S., Lind, O. C., Thomas , K. V., & Meland, S. (2021). A novel method for the quantification of tire and polymer-modified bitumen particles in environmental samples by pyrolysis gas chromatography mass spectroscopy. Journal of Hazardous Materials, 423(Part A), Article 127092. https://doi.org/10.1016/j.jhazmat.2021.127092
  • Samanipour, S. (2021, April 28). NORMAN Collaborative Trial on Passive Sampling and Non-target Screening (NTS) - Metadata [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13562267.v3
  • Samanipour, S. (2021, November 24). SACA Figures [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14618085.v1
  • Samanipour, S. (2021, April 28). NORMAN Collaborative Trial on Passive Sampling and Non-target Screening (NTS) - Own method (individual files) [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.14455965.v2
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