Search Results - "Freudenthal, Oona" :: K.UTB vyhledávací portál

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Unlocking the potential of data harmonization and FAIRness in chemical risk assessment: lessons from practice and insights for policy development

by Freudenthal, Oona, Da Silveira, Marcos, Deladiennee, Louis
Published in Environmental sciences Europe (08.11.2024)

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Discrepancies between Cyclic and Linear Antimicrobial Peptide Actions on the Spectrochemical and Nanomechanical Fingerprints of a Young Biofilm

by Freudenthal, Oona, Quilès, Fabienne, Francius, Grégory
Published in ACS omega (30.09.2017)

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Structure–Function Relations of Asphaltenes at the Interface

by Andrews, A. Ballard, Bridot, Jean-Luc, Freudenthal, Oona, Langevin, Dominique, Mullins, Oliver C.
Published in Energy & fuels (16.11.2023)

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Nanoscale investigation of the interaction of colistin with model phospholipid membranes by Langmuir technique, and combined infrared and force spectroscopies

by Freudenthal, Oona, Quilès, Fabienne, Francius, Grégory, Wojszko, Kamila, Gorczyca, Marcelina, Korchowiec, Beata, Rogalska, Ewa
Published in Biochimica et biophysica acta (01.11.2016)

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FAIR evaluation of ten widely used chemical datasets: Lessons learned and recommendations

by Da Silveira, Marcos, Freudenthal, Oona, Deladiennee, Louis
Year of Publication 22.07.2024

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FAIR evaluation of ten widely used chemical datasets: Lessons learned and recommendations

by Marcos Da Silveira, Freudenthal, Oona, Deladiennee, Louis
Published in arXiv.org (22.07.2024)

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Paper

Unlocking the potential of data harmonization and FAIRness in chemical risk assessment: lessons from practice and insights for policy development

Discrepancies between Cyclic and Linear Antimicrobial Peptide Actions on the Spectrochemical and Nanomechanical Fingerprints of a Young Biofilm

Structure–Function Relations of Asphaltenes at the Interface

Nanoscale investigation of the interaction of colistin with model phospholipid membranes by Langmuir technique, and combined infrared and force spectroscopies

FAIR evaluation of ten widely used chemical datasets: Lessons learned and recommendations

FAIR evaluation of ten widely used chemical datasets: Lessons learned and recommendations

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