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

Dataset ·
DOI:https://doi.org/10.15485/1807580· OSTI ID:1807580
 [1];  [2];  [2];  [2];  [2];  [2];  [2];  [2];  [2];  [3]
  1. California Lutheran University; California Lutheran University
  2. Pacific Northwest National Laboratory (PNNL)
  3. Pacific Northwest National Laboratory

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.

Research Organization:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; Early Career Research Program: Watershed Perturbation-Response Traits Derived Through Ecological Theory
Sponsoring Organization:
U.S. DOE > Office of Science
OSTI ID:
1807580
Country of Publication:
United States
Language:
English