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Title: Respiration data, microbial community assembly data, and FTICR-MS data associated with: “Disturbance Triggers Non-Linear Microbe-Environment Feedbacks. Sengupta et al., 2021, Biogeosciences”

Abstract

This data package is associated with the manuscript “Disturbance Triggers Non-Linear Microbe-Environment Feedbacks, in revision in Biogeosciences (Sengupta et al. and 2021;https://bg.copernicus.org/preprints/bg-2021-51/). The study used hyporheic zone sediments as a model system to provide an integrated view of how disturbance modulates linkages among microbial ecology, biogeochemistry, and organic matter thermodynamics. Laboratory experiments exposed hyporheic sediment to varying wetting/drying dynamics. Data types include dissolved oxygen rates used to derive respiration rates, Fourier-transform ion cyclotron resonance mass spectrometry (FTICR-MS) data used to derive thermodynamic properties of organic matter, and microbial community assembly metrics derived from amplicon-sequence data of putatively active (cDNA) and whole community (gDNA). The outcomes of the study are condensed into a broadly applicable conceptual model linking external forcing, internal dynamics, and history. This data package is comprised of a file-level metadata (FLMD) csv, metadata csv, and seven folders that contain csv files, R scripts, xml files, and associated documentation: (1) Rates, (2) bNTI, and (3) FTICR, (4) Statistics_Analyses, (5) Raw OTU Beta dispersion Analysis, (6) bMNTD Randomizations, and (7) Data Dictionaries. The FLMD file has a description of each file included in the data package.

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo
  1. California Lutheran University
  2. Pacific Northwest National Laboratory (PNNL)
  3. Pacific Northwest National Laboratory
Publication Date:
DOE Contract Number:  
74193
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Early Career Research Program: Watershed Perturbation-Response Traits Derived Through Ecological Theory
Sponsoring Org.:
U.S. DOE > Office of Science
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
River corridor; Sediments; Respiration; Functional traits; DNA; RNA; Microbial community; Organic matter; FTICR-MS; Metabolite; Metabolomics; Mass spectrometry; Thermodynamics; Hyporheic zone; Fourier-transform ion cyclotron resonance mass spectrometry; Deoxyribonucleic acid; Ribonucleic acid; Respiration Rates; bNTI; FTICR-MS ; OM thermodynamic traits (Gibbs free energy and thermodynamic efficiency)
Geolocation:
46.372411,-119.271695|46.372411,-119.271695|46.372411,-119.271695|46.372411,-119.271695|46.372411,-119.271695
OSTI Identifier:
1807580
DOI:
https://doi.org/10.15485/1807580
Project Location:

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Citation Formats

Sengupta, Aditi, Fansler, Sarah J, Toyoda, Jason G, Chu, Rosalie, Garayburu-Caruso, Vanessa A, Renteria, Lupita, Wells, Jacqueline R, Danczak, Robert E, Goldman, Amy E, and Stegen, James C. Respiration data, microbial community assembly data, and FTICR-MS data associated with: “Disturbance Triggers Non-Linear Microbe-Environment Feedbacks. Sengupta et al., 2021, Biogeosciences”. United States: N. p., 2021. Web. doi:10.15485/1807580.
Sengupta, Aditi, Fansler, Sarah J, Toyoda, Jason G, Chu, Rosalie, Garayburu-Caruso, Vanessa A, Renteria, Lupita, Wells, Jacqueline R, Danczak, Robert E, Goldman, Amy E, & Stegen, James C. Respiration data, microbial community assembly data, and FTICR-MS data associated with: “Disturbance Triggers Non-Linear Microbe-Environment Feedbacks. Sengupta et al., 2021, Biogeosciences”. United States. doi:https://doi.org/10.15485/1807580
Sengupta, Aditi, Fansler, Sarah J, Toyoda, Jason G, Chu, Rosalie, Garayburu-Caruso, Vanessa A, Renteria, Lupita, Wells, Jacqueline R, Danczak, Robert E, Goldman, Amy E, and Stegen, James C. 2021. "Respiration data, microbial community assembly data, and FTICR-MS data associated with: “Disturbance Triggers Non-Linear Microbe-Environment Feedbacks. Sengupta et al., 2021, Biogeosciences”". United States. doi:https://doi.org/10.15485/1807580. https://www.osti.gov/servlets/purl/1807580. Pub date:Fri Jan 01 00:00:00 EST 2021
@article{osti_1807580,
title = {Respiration data, microbial community assembly data, and FTICR-MS data associated with: “Disturbance Triggers Non-Linear Microbe-Environment Feedbacks. Sengupta et al., 2021, Biogeosciences”},
author = {Sengupta, Aditi and Fansler, Sarah J and Toyoda, Jason G and Chu, Rosalie and Garayburu-Caruso, Vanessa A and Renteria, Lupita and Wells, Jacqueline R and Danczak, Robert E and Goldman, Amy E and Stegen, James C},
abstractNote = {This data package is associated with the manuscript “Disturbance Triggers Non-Linear Microbe-Environment Feedbacks, in revision in Biogeosciences (Sengupta et al. and 2021;https://bg.copernicus.org/preprints/bg-2021-51/). The study used hyporheic zone sediments as a model system to provide an integrated view of how disturbance modulates linkages among microbial ecology, biogeochemistry, and organic matter thermodynamics. Laboratory experiments exposed hyporheic sediment to varying wetting/drying dynamics. Data types include dissolved oxygen rates used to derive respiration rates, Fourier-transform ion cyclotron resonance mass spectrometry (FTICR-MS) data used to derive thermodynamic properties of organic matter, and microbial community assembly metrics derived from amplicon-sequence data of putatively active (cDNA) and whole community (gDNA). The outcomes of the study are condensed into a broadly applicable conceptual model linking external forcing, internal dynamics, and history. This data package is comprised of a file-level metadata (FLMD) csv, metadata csv, and seven folders that contain csv files, R scripts, xml files, and associated documentation: (1) Rates, (2) bNTI, and (3) FTICR, (4) Statistics_Analyses, (5) Raw OTU Beta dispersion Analysis, (6) bMNTD Randomizations, and (7) Data Dictionaries. The FLMD file has a description of each file included in the data package.},
doi = {10.15485/1807580},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {1}
}