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LC-HRMS metabolomics data from three plasma sample preparation workflows in parkinsonian syndromes

Year: 2026
Type: dataset
Abstract: The deposited processed datasets support the study “Plasma LC-HRMS metabolomics in parkinsonian syndromes: comparative evaluation of sample preparation protocols for exploratory metabolic signatures”, published in Analytical and Bioanalytical Chemistry. DOI: 10.1007/s00216-026-06669-x. The deposited processed data consist of three Compound Discoverer table 3 exports, corresponding to the three sample-preparation workflows evaluated in the study: - ppt_table3.csv: tube-based protein precipitation workflow (PP-Tube)- impact_table3.csv: 96-well plate-based protein precipitation-filtration workflow (PP-Plate)- plr_table3.csv: 96-well plate-based phospholipid-removal workflow (PLR-Plate) Each file contains the curated Compound Discoverer t3 feature table for the corresponding workflow, including feature identifiers, m/z, retention time, reference ion/adduct information, putative annotation fields, MS²/library-search information, raw peak areas, QC-normalized peak areas, QC metrics, gap-status information and sample-level quantitative values. The original Compound Discoverer exports were generated in workflow-specific folders but retained identical internal sample-name prefixes in the column headers. Therefore, column names may contain “PPT_...” raw-file identifiers in all three deposited tables. In this deposited dataset, the workflow assignment should be inferred from the deposited file name rather than from the internal raw-file prefix: ppt_table3.csv corresponds to PP-Tube, impact_table3.csv corresponds to PP-Plate and plr_table3.csv corresponds to PLR-Plate.
Language: English
Open Access status: green
OpenAlex ID: W7204467715
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