Carbon dioxide (CO2) flux, amplicon sequencing and liquid chromatography–mass spectrometry (LC-MS) data for pyrogenic organic matter (PYOM) amended soil incubations in lab, Madison, WI, 2021-22

Zeba, Nayela; Berry, Timothy; Fischer, Monika; Traxler, Matthew; Whitman, Thea

doi:10.15485/1985918

Title: Carbon dioxide (CO2) flux, amplicon sequencing and liquid chromatography–mass spectrometry (LC-MS) data for pyrogenic organic matter (PYOM) amended soil incubations in lab, Madison, WI, 2021-22

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Abstract

This dataset comprises soil-pyrogenic organic matter (PyOM) incubation experiments conducted in a laboratory setting. The focus was on measuring carbon dioxide (CO2) flux emitted in the headspace of incubation jars over a one-month period. The aim was to estimate carbon mineralization from two different carbon fractions in PyOM, as well as carbon mineralization from soil organic carbon (SOC). Bacterial and fungal community profiles were tracked at various time points during the incubation to observe changes in the overall community and specific responders to PyOM. LC-MS analysis of soil samples was also performed to monitor changes in the soil's chemical composition.The provided dataset includes processed CO2 flux measurements obtained from the Picarro-multiplexer measurement setup for each sample incubation jar. This data is available in the "CO2Flux.csv" file. Additionally, the dataset includes CO2 flux data partitioned to estimate mean carbon mineralization from the two PyOM carbon fractions, bulk PyOM, and SOC. The cumulative carbon mineralization data is provided in "cml_respired.csv," while the rate of carbon mineralization data is in "rate_respired.csv." The file "cml_respired_lastcyc.csv" contains cumulative carbon mineralization data for the PyOM carbon fractions, bulk PyOM, and SOC throughout the entire incubation period.For the LC-MS analysis, the raw data can be found inmore »« less

Authors:

; Berry, Timothy; Fischer, Monika; Traxler, Matthew; Whitman, Thea

University of Wisconsin - Madison; University of Wisconsin-Madison
University of Wisconsin - Madison
University of California Berkeley

Publication Date:: Sat Dec 31 23:00:00 EST 2022

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; The Role of Pyrophilous Microbes in the Breakdown and Sequestration of Pyrogenic Organic Matter

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > LAND SURFACE > SOILS; PYROGENIC ORGANIC MATTER; SOIL MICROBES; SOIL ORGANIC CARBON

OSTI Identifier:: 1985918

DOI:: https://doi.org/10.15485/1985918

Citation Formats


                    Zeba, Nayela, Berry, Timothy, Fischer, Monika, Traxler, Matthew, and Whitman, Thea. Carbon dioxide (CO2) flux, amplicon sequencing and liquid chromatography–mass spectrometry (LC-MS) data for pyrogenic organic matter (PYOM) amended soil incubations in lab, Madison, WI, 2021-22.  United States: N. p., 2022. 
        Web.  doi:10.15485/1985918.

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                    Zeba, Nayela, Berry, Timothy, Fischer, Monika, Traxler, Matthew, & Whitman, Thea. Carbon dioxide (CO2) flux, amplicon sequencing and liquid chromatography–mass spectrometry (LC-MS) data for pyrogenic organic matter (PYOM) amended soil incubations in lab, Madison, WI, 2021-22.  United States.  doi:https://doi.org/10.15485/1985918

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                    Zeba, Nayela, Berry, Timothy, Fischer, Monika, Traxler, Matthew, and Whitman, Thea. 2022.  
"Carbon dioxide (CO2) flux, amplicon sequencing and liquid chromatography–mass spectrometry (LC-MS) data for pyrogenic organic matter (PYOM) amended soil incubations in lab, Madison, WI, 2021-22".  United States.  doi:https://doi.org/10.15485/1985918.  https://www.osti.gov/servlets/purl/1985918. Pub date:Sat Dec 31 23:00:00 EST 2022

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@article{osti_1985918,

  title        = {Carbon dioxide (CO2) flux, amplicon sequencing and liquid chromatography–mass spectrometry (LC-MS) data for pyrogenic organic matter (PYOM) amended soil incubations in lab, Madison, WI, 2021-22},

  author       = {Zeba, Nayela and Berry, Timothy and Fischer, Monika and Traxler, Matthew and Whitman, Thea},

  abstractNote = {This dataset comprises soil-pyrogenic organic matter (PyOM) incubation experiments conducted in a laboratory setting. The focus was on measuring carbon dioxide (CO2) flux emitted in the headspace of incubation jars over a one-month period. The aim was to estimate carbon mineralization from two different carbon fractions in PyOM, as well as carbon mineralization from soil organic carbon (SOC). Bacterial and fungal community profiles were tracked at various time points during the incubation to observe changes in the overall community and specific responders to PyOM. LC-MS analysis of soil samples was also performed to monitor changes in the soil's chemical composition.The provided dataset includes processed CO2 flux measurements obtained from the Picarro-multiplexer measurement setup for each sample incubation jar. This data is available in the "CO2Flux.csv" file. Additionally, the dataset includes CO2 flux data partitioned to estimate mean carbon mineralization from the two PyOM carbon fractions, bulk PyOM, and SOC. The cumulative carbon mineralization data is provided in "cml_respired.csv," while the rate of carbon mineralization data is in "rate_respired.csv." The file "cml_respired_lastcyc.csv" contains cumulative carbon mineralization data for the PyOM carbon fractions, bulk PyOM, and SOC throughout the entire incubation period.For the LC-MS analysis, the raw data can be found in the "20220721_NZ_PeakHeights_FinalAnalysis.csv" file, while sample metadata is provided in "20220721_NZpilot_Metadata.csv". Processed LC-MS data is available in the file "20220721_NZ_FINAL_msdat_sub3.csv". Lastly, the dataset includes the relative abundance data for bacterial genera that exhibited a significant positive response to the addition of PyOM produced at 350 degrees Celsius, which can be found in "resp_genera_350.csv".},

  doi          = {10.15485/1985918},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sat Dec 31 23:00:00 EST 2022},

  month        = {Sat Dec 31 23:00:00 EST 2022}

}

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DOI: https://doi.org/10.15485/1985918

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