<HashMap><database>GNPS</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://massive-ftp.ucsd.edu/v03/MSV000086631/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>0</viewCount><searchCount>0</searchCount></scores><additional><omics_type>Metabolomics</omics_type><submitter>Emma Schymanski</submitter><instrument_platform>Q Exactive</instrument_platform><species>None.</species><full_dataset_link>https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=14f51e6ec99a42329e7a0eeaad0e5824</full_dataset_link><submitter_email>emma.schymanski@uni.lu</submitter_email><submitter_affiliation>Luxembourg Centre for Systems Biomedicine</submitter_affiliation><sample_protocol></sample_protocol><repository>GNPS</repository><file_size>146</file_size><ptm_modification>MS:1002864 - No post-translational-modifications are included in the identified peptides of this dataset</ptm_modification><data_protocol></data_protocol><citation_count>0</citation_count></additional><is_claimable>false</is_claimable><name>GNPS Retrospective Non-target Analysis to Support Regulatory Water Monitoring of Swiss Wastewater </name><description>Paper title: Retrospective Non-target Analysis to Support Regulatory Water Monitoring: from Masses of Interest to Recommendations via in silico workflows

Author List: Adelene Lai, Randolph R. Singh, Lubomira Kovalova, Oliver Jaeggi, Todor Kondic, Emma L. Schymanski

Brief description of the data submitted: Processed spectrum files in mzML format of Swiss wastewater samples measured using liquid-chromatography high-resolution tandem mass spectrometry (HR-MS/MS). Retrospective non-target analyses were performed on these data to tentatively identify chemical unknowns prioritised in regulatory monitoring. 
</description><dates><publication>Tue Dec 22 11:07:00 GMT 2020</publication></dates><accession>MSV000086631</accession><cross_references><TAXONOMY>32644</TAXONOMY></cross_references></HashMap>