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Multi-batch untargeted metabolomics data for benchmarking of batch correction methods
(2022)To generate benchmark data for assessing and correcting inter-batch biases in untargeted metabolomics, we created a set of 136 samples with diverse combinations of matrix (water or serum), spike-ins, and dilutions. Samples were aliquoted, frozen, and analyzed repeatedly in seven independent batches over a period of two months. Each batch encompassed >700 sample injections including technical triplicates and intercalated blanks. Each sample ...Data Collection -
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Raw Data: Earthquake breakdown energy scaling despite constant fracture energy
(2022)Data Collection -
Data from: Identifying key stages of radiation fog evolution using water vapor isotopes
(2022)Data Collection