{"type": "FeatureCollection", "features": [{"id": "10.1002/lom3.10364", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-16T16:14:10Z", "type": "Journal Article", "created": "2020-06-05", "title": "An international laboratory comparison of dissolved organic matter composition by high resolution mass spectrometry: Are we getting the same answer?", "description": "Abstract<p>High\uffe2\uff80\uff90resolution mass spectrometry (HRMS) has become a vital tool for dissolved organic matter (DOM) characterization. The upward trend in HRMS analysis of DOM presents challenges in data comparison and interpretation among laboratories operating instruments with differing performance and user operating conditions. It is therefore essential that the community establishes metric ranges and compositional trends for data comparison with reference samples so that data can be robustly compared among research groups. To this end, four identically prepared DOM samples were each measured by 16 laboratories, using 17 commercially purchased instruments, using positive\uffe2\uff80\uff90ion and negative\uffe2\uff80\uff90ion mode electrospray ionization (ESI) HRMS analyses. The instruments identified ~1000 common ions in both negative\uffe2\uff80\uff90 and positive\uffe2\uff80\uff90ion modes over a wide range of m/z values and chemical space, as determined by van Krevelen diagrams. Calculated metrics of abundance\uffe2\uff80\uff90weighted average indices (H/C, O/C, aromaticity, and m/z) of the commonly detected ions showed that hydrogen saturation and aromaticity were consistent for each reference sample across the instruments, while average mass and oxygenation were more affected by differences in instrument type and settings. In this paper we present 32 metric values for future benchmarking. The metric values were obtained for the four different parameters from four samples in two ionization modes and can be used in future work to evaluate the performance of HRMS instruments.</p", "keywords": ["STRUCTURAL-CHARACTERIZATION", "ELECTROSPRAY-IONIZATION", "PONY LAKE", "550", "FTICR-MS", "Characterization", "Pony lake", "Marine Biology", "Oceanografi", " hydrologi och vattenresurser", "01 natural sciences", "Electrospray ionization", "River sediments", "Oceanography", " Hydrology and Water Resources", "Compostos org\u00e0nics", "[CHIM] Chemical Sciences", "Organic compounds", "RIVER", "Atmospheric pressure photoionization", "[CHIM]Chemical Sciences", "MOLECULAR CHARACTERIZATION", "0105 earth and related environmental sciences", "River", "Marine", "Fulvic acids", "Sediments fluvials", "Molecular", "ESI-MS", "Oceanography and Atmospheric Sciences and Meteorology", "Structural characterization", "620", "0104 chemical sciences", "FULVIC-ACIDS", "13. 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Data will be updated as more become available. Please see the most recent data upload for current data.  A beta visualization tool is available for some data types at\u00a0https://shinyproxy.emsl.pnnl.gov/app/1000soils. Please submit any suggestions or comments through the 'contact' tab. We are actively working to improve visualizations and value all feedback.  Data completed include:    Geochemistry, texture, respiration, and enzyme activities  FTICR-MS organic matter chemistry  Microbial biomass C and N  TOC/TDN of water-extractable OM  X-ray computed tomography (derived metrics available here, raw data available upon request)  Metagenomes; a variety of data formats are available upon request  Soil hydraulic properties   Data in progress:    LC-MS/MS in development, timeline TBD, inquire for status   1000S_processed_BGC_summary.csv contains all available biogeochemical data; microbial biomass C and N; and TOC/TDN of water-extractable OM; and\u00a0  1000S_Tomography.xslx contains a summary of data generated via X-ray computed tomography.  icr_v2_corems2.csv contains FTICR-MS data processed by CoreMS version 2. These data are merged by formula across instrument runs to enable cross-sample comparisons. Technical replicates are merged by retaining peaks present in 2 out of 3 replicates.  1000Soils_Metadata_Site_Mastersheet_v1.csv contains site information.  Soil Hydraulics_corrected_02042025.xlsx contains soil hydraulics information.  Readme File_v4.xlsx is the readme file.  Please contact the MONet project (monet.emsl@pnnl.gov) or Emily Graham (emily.graham@pnnl.gov) with questions.  The following file and all raw data are\u00a0available upon request:  icr_by_mass_for_single_sample_analysis_only.csv\u00a0contains FTICR-MS data processed by CoreMS and is intended for usage in the calculation of biochemical transformations within samples only. These data are not acceptable for cross-sample comparison of masses because they are from multiple instrument runs.  For more information, please see: https://www.emsl.pnnl.gov/monet and https://sc-data.emsl.pnnl.gov/monet  Acknowledgment:\u00a0  Soil data were provided by the Molecular Observation Network (MONet) at the Environmental Molecular Sciences Laboratory (https://ror.org/04rc0xn13), a DOE Office of Science user facility sponsored by the Biological and Environmental Research program under Contract No. DE-AC05-76RL01830. The work (proposal: 10.46936/10.25585/60008970) conducted by the U.S. Department of Energy, Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science user facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.\u00a0  The Molecular Observation Network (MONet) database is an open, FAIR, and publicly available compilation of the molecular and microstructural properties of soil. Data in the MONet open science database can be found at\u00a0https://sc-data.emsl.pnnl.gov/.", "keywords": ["2. 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