High resolution characterization of soil dissolved organic matter with FTICR-MS (Fourier-transform ion cyclotron resonance mass spectrometry) from soil samples in control and warming plots in Blodgett Forest, CA (2014 and 2018)
Abstract
The pathways of carbon transport and loss through and from soils—soil organic matter (SOM) depolymerization to dissolved organic carbon and mineralization to carbon dioxide (CO2)—are fundamentally driven by microbial activity, which is strongly regulated by environmental conditions. As part of Lawrence Berkeley National Laboratory (LBNL) Terrestrial Ecosystem Science (TES) Belowground Biogeochemistry Science Focus Area (SFA), we have established a novel whole-soil long-term warming experiment at the University of California (UC) Blodgett Forest Research Station (Sierra Nevada) in 2014, where we study the role of biogeochemical, microbial and geochemical process interactions in SOM decomposition and stabilization.This package contains Fourier transform ion cyclotron resonance mass spectrometry (21 Tesla FTICR-MS) data measured in negative and positive ionization mode from water and methanol soil extracts. Soil samples were collected in 2014/06/03 and 2018/06/04 from 3 replicated paired plots that had been subjected to experimental warming since June 2014 to simulate a predicted climate change scenario for northern California. The following files are included: (1) fticr_neg_h2oMeoh_data_raw.csv: raw data from combined water (H2O) and methanol (MeOH) extracts in negative ion mode, (2) fticr_neg_h2oMeoh_data_processed.csv: processed data from combined water (H2O) and methanol (MeOH) extracts in negative ion mode, (3) fticr_neg_metadata.csv: metadata for samples/measurements in negative ion mode,more »
- Authors:
-
- Lawrence Berkeley National Laboratory
- Pacific Northwest National Laboratory (PNNL)
- Publication Date:
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Belowground Biogeochemistry Scientific Focus Area
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Belowground Biogeochemistry Science Focus Area; Blodgett Forest Research Station; EARTH SCIENCE > LAND SURFACE > SOILS; FTICR-MS; Fourier transform ion cyclotron resonance mass spectrometry; METABOLOMICS; Terrestrial Ecosystem Science (TES); dissolved organic matter; metabolomics; methanol; soil metabolomics; soil organic matter; soil warming
- OSTI Identifier:
- 2569200
- DOI:
- https://doi.org/10.15485/2569200
Citation Formats
Karaoz, Ulas, J. Eloy Alves, Ricardo, Chu, Rosalie, K. Eder, Elizabeth, Nicora, Carrie, Torn, Margaret, and L. Brodie, Eoin. High resolution characterization of soil dissolved organic matter with FTICR-MS (Fourier-transform ion cyclotron resonance mass spectrometry) from soil samples in control and warming plots in Blodgett Forest, CA (2014 and 2018). United States: N. p., 2025.
Web. doi:10.15485/2569200.
Karaoz, Ulas, J. Eloy Alves, Ricardo, Chu, Rosalie, K. Eder, Elizabeth, Nicora, Carrie, Torn, Margaret, & L. Brodie, Eoin. High resolution characterization of soil dissolved organic matter with FTICR-MS (Fourier-transform ion cyclotron resonance mass spectrometry) from soil samples in control and warming plots in Blodgett Forest, CA (2014 and 2018). United States. doi:https://doi.org/10.15485/2569200
Karaoz, Ulas, J. Eloy Alves, Ricardo, Chu, Rosalie, K. Eder, Elizabeth, Nicora, Carrie, Torn, Margaret, and L. Brodie, Eoin. 2025.
"High resolution characterization of soil dissolved organic matter with FTICR-MS (Fourier-transform ion cyclotron resonance mass spectrometry) from soil samples in control and warming plots in Blodgett Forest, CA (2014 and 2018)". United States. doi:https://doi.org/10.15485/2569200. https://www.osti.gov/servlets/purl/2569200. Pub date:Wed Jan 01 04:00:00 UTC 2025
@article{osti_2569200,
title = {High resolution characterization of soil dissolved organic matter with FTICR-MS (Fourier-transform ion cyclotron resonance mass spectrometry) from soil samples in control and warming plots in Blodgett Forest, CA (2014 and 2018)},
author = {Karaoz, Ulas and J. Eloy Alves, Ricardo and Chu, Rosalie and K. Eder, Elizabeth and Nicora, Carrie and Torn, Margaret and L. Brodie, Eoin},
abstractNote = {The pathways of carbon transport and loss through and from soils—soil organic matter (SOM) depolymerization to dissolved organic carbon and mineralization to carbon dioxide (CO2)—are fundamentally driven by microbial activity, which is strongly regulated by environmental conditions. As part of Lawrence Berkeley National Laboratory (LBNL) Terrestrial Ecosystem Science (TES) Belowground Biogeochemistry Science Focus Area (SFA), we have established a novel whole-soil long-term warming experiment at the University of California (UC) Blodgett Forest Research Station (Sierra Nevada) in 2014, where we study the role of biogeochemical, microbial and geochemical process interactions in SOM decomposition and stabilization.This package contains Fourier transform ion cyclotron resonance mass spectrometry (21 Tesla FTICR-MS) data measured in negative and positive ionization mode from water and methanol soil extracts. Soil samples were collected in 2014/06/03 and 2018/06/04 from 3 replicated paired plots that had been subjected to experimental warming since June 2014 to simulate a predicted climate change scenario for northern California. The following files are included: (1) fticr_neg_h2oMeoh_data_raw.csv: raw data from combined water (H2O) and methanol (MeOH) extracts in negative ion mode, (2) fticr_neg_h2oMeoh_data_processed.csv: processed data from combined water (H2O) and methanol (MeOH) extracts in negative ion mode, (3) fticr_neg_metadata.csv: metadata for samples/measurements in negative ion mode, (4) fticr_pos_h2oMeoh_data_raw.csv: raw data from combined water (H2O) and methanol (MeOH) extracts in positive ion mode, (5) fticr_pos_h2oMeoh_data_processed.csv: processed data from combined water (H2O) and methanol (MeOH) extracts in positive ion mode, (6) fticr_pos_metadata.csv: metadata for samples/measurements in positive ion mode.},
doi = {10.15485/2569200},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 04:00:00 UTC 2025},
month = {Wed Jan 01 04:00:00 UTC 2025}
}
