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MetabolomicsDirect infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control
Direct-infusion mass spectrometry (DIMS) metabolomics is an important approach for characterising molecular responses of organisms to disease, drugs and the environment. Increasingly large-scale metabolomics studies are being conducted, necessitating improvements in both bioanalytical and computatio...
2022-05-16 | MTBLS79 | MetaboLights
MetabolomicsBenchmark datasets for 3D MALDI- and DESI-Imaging Mass Spectrometry
Three-dimensional imaging mass spectrometry (3D imaging MS) is a technique of analytical chemistry for 3D molecular analysis of a tissue specimen, entire organ, or microbial colonies on an agar plate. 3D imaging MS has unique advantages over existing 3D imaging techniques, offers novel perspectives ...
2016-07-27 | MTBLS176 | MetaboLights
MetabolomicsA benchmark spike-in data set for biomarker identification in metabolomics
The development and the validation of innovative approaches for biomarker selection are of paramount importance in many -omics technologies. Unfortunately, the actual testing of new methods on real data is difficult, because in real data sets, one can never be sure about the “true” biomarkers. In th...
2013-10-24 | MTBLS59 | MetaboLights
MetabolomicsA targeted MRM-based lipidomic dataset of Tenebrio molitor larvae fed diets with different protein levels
Tenebrio molitor is increasingly used as a sustainable source of nutrients for food and feed production, yet their lipid metabolic responses to dietary protein remain poorly characterized at the molecular species level. Here, we report a targeted UPLC–MS/MS lipidomics dataset of Tenebrio molitor lar...
2026-05-20 | MTBLS14531 | MetaboLights
ProteomicsPIA - iPRG2008 Benchmark Dataset
This dataset is no actual new study but the iPRG2008 benchmark dataset used in the PIA manuscript.
ORGANISM(S): Mus musculus (Mouse) 
2015-05-08 | PXD000793 | Pride
Mouse Iprg2008 Benchmark 
ProteomicsA comprehensive LFQ benchmark dataset to validate data analysis pipelines on modern day acquisition strategies in proteomics
A comprehensive LFQ benchmark dataset to validate data analysis pipelines on modern day acquisition strategies in proteomics using SCIEX TripleTOF5600 and 6600+, Orbitrap QE-HFX, Waters Synapt GS-Si and Synapt XS and Bruker timsTOF Pro.
ORGANISM(S): Candida albicans (Yeast) Homo sapiens (Human) Escherichia coli 
2022-02-14 | PXD028735 | Pride
Swath Dia Benchmark 
ProteomicsPIA - Yeast Gold Standard Benchmark Dataset
This Dataset is no actual new study but the Yeast Gold Standard benchmark dataset used in the PIA manuscript.
ORGANISM(S): Saccharomyces cerevisiae (Baker's yeast) 
2015-05-08 | PXD000792 | Pride
Benchmark Yeast 
ProteomicsPIA - Mouse Benchmark Dataset - PIA - An intuitive protein inference engine with a web-based user interface
This Dataset is no actual new study but the mouse benchmark dataset used in the PIA manuscript.
ORGANISM(S): Mus musculus (Mouse) 
2015-05-08 | PXD000790 | Pride
Mouse Benchmark 
GenomicsDesigning a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods
Designing a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods
PRJNA596465 | ENA
GenomicsDesigning a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods (9 cell mixture dataset).
Designing a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods (9 cell mixture dataset).
PRJNA482132 | ENA
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