Interrelationships among methods of estimating microbial biomass across multiple soil orders and biomes: Supporting data

Buell, Zachary W; Dabbs, Jennifer; Steinweg, J. M.; Phillips, Jana R.; Kluber, Laurel A.; Yang, Zamin K.; Miller, R. M.; Gutknecht, Jessica L.M.; Schadt, Christopher W.; Mayes, Melanie A

doi:10.25581/ornlsfa.031/2274949

Title: Interrelationships among methods of estimating microbial biomass across multiple soil orders and biomes: Supporting data

Abstract

This dataset contains environmental and soil measurements from 18 different locations across the globe including the SPRUCE experiment site and multiple sampling depths, with 17 of these locations having samples processed between 2012-2013 and one location (SPRUCE) collected in 2021 and processed in 2022. Environmental measurements include: mean annual temperature, mean annual precipitation, and 30-day presampling temperature. Soil physicochemical measurements include: particle size analysis (PSA), pH, gravimetric moisture content (GMC), bulk soil carbon (C) and nitrogen (N), total organic C and N, C:N ratio, and dissolved organic carbon (DOC). Soil biological measurements include: microbial biomass carbon (MBC) measured through chloroform fumigation extraction (CFE), gene copy numbers (GCN) of bacteria, fungi, and archaea measured through quantitative polymerase chain reaction (qPCR), DNA yield measured through Nanodrop spectrophotometry, and phospholipid fatty acids (PLFA) of bacteria and fungi measured through PLFA analysis. This data set contains one file in comma separate (*.csv) format.

Authors:

; Dabbs, Jennifer; Steinweg, J. M.;

; Kluber, Laurel A.; Yang, Zamin K.;

;

University of Minnesota, Saint Paul, MN (United States)
Tetra Tech, Inc., Pasadena, CA (United States)
Roanoke College
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Argonne National Laboratory (ANL), Argonne, IL (United States)

Publication Date:: Mon Jan 01 00:00:00 EST 2024

DOE Contract Number:: AC05-00OR22725

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science (BSS)

Keywords:: Particle size analysis, pH, gravimetric moisture content, bulk soil carbon, bulk soil nitrogen, total organic C, total organic N, C:N ratio, dissolved organic carbon (DOC), microbial biomass carbon, chloroform fumigation extraction, gene copy numbers, qPCR, Nanodrop spectrophotometry, PLFA

Geolocation:: 90.0,180.0|-90.0,180.0|-90.0,-180.0|90.0,-180.0|90.0,180.0

OSTI Identifier:: 2274949

DOI:: https://doi.org/10.25581/ornlsfa.031/2274949

Project Location:

Citation Formats


                    Buell, Zachary W, Dabbs, Jennifer, Steinweg, J. M., Phillips, Jana R., Kluber, Laurel A., Yang, Zamin K., Miller, R. M., Gutknecht, Jessica L.M., Schadt, Christopher W., and Mayes, Melanie A. Interrelationships among methods of estimating microbial biomass across multiple soil orders and biomes: Supporting data.  United States: N. p., 2024. 
        Web.  doi:10.25581/ornlsfa.031/2274949.

Copy to clipboard


                    Buell, Zachary W, Dabbs, Jennifer, Steinweg, J. M., Phillips, Jana R., Kluber, Laurel A., Yang, Zamin K., Miller, R. M., Gutknecht, Jessica L.M., Schadt, Christopher W., & Mayes, Melanie A. Interrelationships among methods of estimating microbial biomass across multiple soil orders and biomes: Supporting data.  United States.  doi:https://doi.org/10.25581/ornlsfa.031/2274949

Copy to clipboard


                    Buell, Zachary W, Dabbs, Jennifer, Steinweg, J. M., Phillips, Jana R., Kluber, Laurel A., Yang, Zamin K., Miller, R. M., Gutknecht, Jessica L.M., Schadt, Christopher W., and Mayes, Melanie A. 2024.  
"Interrelationships among methods of estimating microbial biomass across multiple soil orders and biomes: Supporting data".  United States.  doi:https://doi.org/10.25581/ornlsfa.031/2274949.  https://www.osti.gov/servlets/purl/2274949. Pub date:Mon Jan 01 00:00:00 EST 2024

Copy to clipboard


                    
@article{osti_2274949,

  title        = {Interrelationships among methods of estimating microbial biomass across multiple soil orders and biomes: Supporting data},

  author       = {Buell, Zachary W and Dabbs, Jennifer and Steinweg, J. M. and Phillips, Jana R. and Kluber, Laurel A. and Yang, Zamin K. and Miller, R. M. and Gutknecht, Jessica L.M. and Schadt, Christopher W. and Mayes, Melanie A},

  abstractNote = {This dataset contains environmental and soil measurements from 18 different locations across the globe including the SPRUCE experiment site and multiple sampling depths, with 17 of these locations having samples processed between 2012-2013 and one location (SPRUCE) collected in 2021 and processed in 2022. Environmental measurements include: mean annual temperature, mean annual precipitation, and 30-day presampling temperature. Soil physicochemical measurements include: particle size analysis (PSA), pH, gravimetric moisture content (GMC), bulk soil carbon (C) and nitrogen (N), total organic C and N, C:N ratio, and dissolved organic carbon (DOC). Soil biological measurements include: microbial biomass carbon (MBC) measured through chloroform fumigation extraction (CFE), gene copy numbers (GCN) of bacteria, fungi, and archaea measured through quantitative polymerase chain reaction (qPCR), DNA yield measured through Nanodrop spectrophotometry, and phospholipid fatty acids (PLFA) of bacteria and fungi measured through PLFA analysis. This data set contains one file in comma separate (*.csv) format.},

  doi          = {10.25581/ornlsfa.031/2274949},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Jan 01 00:00:00 EST 2024},

  month        = {Mon Jan 01 00:00:00 EST 2024}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.25581/ornlsfa.031/2274949

Save / Share:

Export Metadata

Save to My Library

Works referenced in this record:

Organic-matter decomposition along a temperature gradient in a forested headwater stream
journal, June 2016

Griffiths, Natalie A.; Tiegs, Scott D.
Freshwater Science, Vol. 35, Issue 2
https://doi.org/10.1086/685657

Global, Regional, and National Fossil-Fuel CO2 Emissions (1751 - 2014) (V. 2017)
dataset, January 2017

Boden, T.; Marland, G.; Andres, R. J.
ESS-DIVE: Deep Insight for Earth Science Data, 9 KB
https://doi.org/10.3334/CDIAC/00001_V2017

Influence of dual nitrogen and phosphorus additions on nutrient uptake and saturation kinetics in a forested headwater stream
journal, December 2018

Griffiths, Natalie A.; Johnson, Laura T.
Freshwater Science, Vol. 37, Issue 4
https://doi.org/10.1086/700700

Similar records in DOE Data Explorer and OSTI.GOV collections:

Microbial Biomass in Soils Receiving Varying Levels of Organic Inputs - A Data Compilation

Dataset Craig, M.E. ; Walker, A.P.

This dataset contains soil microbial biomass data compiled from published laboratory studies and field manipulations of organic inputs to soils. Each study included at least three levels of a given type of organic input applied to a given type of soil. Studies were selected from the literature that had experimentally manipulated organic input rates to soils using unburned, non-synthetic material (e.g. plant litters, manures, and composts). Fifty-five (55) studies, conducted from 1997 to October 2019, were chosen and compiled into a dataset with 358 observations from 96 combinations of a given organic material applied to a given soil in agriculturalmore »« less
Soil Respiration and Microbial Biomass from Soil Incubations with 13C Labeled Additions

Dataset Kluber, L. A. ; Phillips, J. R. ; Singh, S. ; ...

This data set provides the respiration and soil microbial biomass data from a series of short and long-term laboratory incubation experiments with 13C labeled substrates to examine how plant communities (forest vs. grassland), edaphic properties, and microbial communities influence C cycling and the long-term fate of C in soil systems. Paired forest and grassland soils from four locations were incubated with 13C labeled glucose in a short-term (144 hours) study while 13C labeled cellulose was added to soils used in the long-term (729 days) study. Soil respiration, microbial biomass, and soil 13C values were monitored throughout the study. Soils weremore »« less
Soil Mesocosm CO2 Emissions after 13C-glucose Addition, Soil Physical and Chemical Characteristics, and Microbial Biomass, Barrow, Alaska, 2014-2016

Dataset Vaughn, Lydia ; Zhu, Qing ; Bimueller, Carolin ; ...

Measurements made from a 2014-2016 field glucose addition experiment. Dataset includes measurements of surface trace gas emissions (Delta13C of ecosystem respiration and source-partitioned surface CO2 flux, CH4 flux, and GPP), soil profile information (concentrations of carbon, nitrogen, and soil microbial biomass carbon, Delta13C of soil organic matter and microbial biomass, gravimetric water content, and bulk density), soil mineral nitrogen availability, and field-measured soil temperature, air temperature and soil moisture. Experiment was conducted in a region of high-centered polygons on the BEO. Data will be available Summer 2018.
Probabilistic estimation of depth-resolved profiles of soil thermal diffusivity from temperature time series: Supporting Data

Dataset Brunetti, Carlotta ; Lamb, John

This dataset consists of soil temperature time series that were used to estimate soil thermal diffusivity and its uncertainty trough the probabilistic modelling approach developed and presented in the article named ?Probabilistic estimation of depth-resolved profiles of soil thermal diffusivity from temperature time series? and published in Earth Surface Dynamics. There are two compressed (.zip) files that contains synthetic (Synthetic_soiltemp_Teller.zip) and field (Field_soiltemp_Teller.zip) data. There is one MATLAB file that requires MATLAB to execute but any text editor can open it.The Synthetic_soiltemp_Teller.zip file includes 5 comma-delimited data files (.csv) each of which contains soil temperature time series generated through forward modeling (i.e., heat-conduction process inmore »« less
Soil Nitrogen, Water Content, Microbial Biomass, and Archaeal, Bacterial and Fungal Communities from the East River Watershed, Colorado collected in 2016-2017

Dataset Sorensen, Patrick ; Brodie, Eoin ; Beller, Harry ; ...

This data set contains soil measurements made at the Pumphouse Hillslope to Floodplain transect at the locations of the early snowmelt-timing manipulation experiments in the East River Watershed in Colorado, USA. The data were collected in 2016 and 2017 to determine soil microbial responses to snow accumulation, snowmelt, and transition from winter to spring. Some additional data from the Washington Gulch snowmelt manipulation experiment lcoations are also included here.Data were collected on soil cores collected in the field at three soil depths (0 to 5 cm, 5 to 15 cm, 15 cm +) below the soil surface and analyzed inmore »« less

Similar Records

Title: Interrelationships among methods of estimating microbial biomass across multiple soil orders and biomes: Supporting data

Abstract

Citation Formats

Organic-matter decomposition along a temperature gradient in a forested headwater stream journal, June 2016

Global, Regional, and National Fossil-Fuel CO2 Emissions (1751 - 2014) (V. 2017) dataset, January 2017

Influence of dual nitrogen and phosphorus additions on nutrient uptake and saturation kinetics in a forested headwater stream journal, December 2018

Organic-matter decomposition along a temperature gradient in a forested headwater stream
journal, June 2016

Global, Regional, and National Fossil-Fuel CO2 Emissions (1751 - 2014) (V. 2017)
dataset, January 2017

Influence of dual nitrogen and phosphorus additions on nutrient uptake and saturation kinetics in a forested headwater stream
journal, December 2018