Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis

Measurement(s) chemical • drinking water Technology Type(s) high resolution mass spectrometry • non-target analysis • Interlaboratory Factor Type(s) method Sample Characteristic - Environment laboratory environment Machine-accessible metadata file describing the reported data: https://doi.org/10.608...

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Main Authors:	Bastian Schulze, Denice van Herwerden, Ian Allan, Lubertus Bijlsma, Nestor Etxebarria, Martin Hansen, Sylvain Merel, Branislav Vrana, Reza Aalizadeh, Bernard Bajema, Florian Dubocq, Gianluca Coppola, Aurélie Fildier, Pavla Fialová, Emil Frøkjær, Roman Grabic, Pablo Gago-Ferrero, Thorsten Gravert, Juliane Hollender, Nina Huynh, Griet Jacobs, Tim Jonkers, Sarit Kaserzon, Marja Lamoree, Julien Le Roux, Teresa Mairinger, Christelle Margoum, Giuseppe Mascolo, Emmanuelle Mebold, Frank Menger, Cécile Miège, Jeroen Meijer, Régis Moilleron, Sapia Murgolo, Massimo Peruzzo, Martijn Pijnappels, Malcolm Reid, Claudio Roscioli, Coralie Soulier, Sara Valsecchi, Nikolaos Thomaidis, Emmanuelle Vulliet, Robert Young, Saer Samanipour
Format:	article
Language:	EN
Published:	Nature Portfolio 2021
Subjects:	Science Q
Online Access:	https://doaj.org/article/c1ecbd37dc0740e485cc3e6f29a2a0e0
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Inter-laboratory mass spectrometry dataset based on passive sampling of drinking water for non-target analysis

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