Dataset: Raw LCMS data files from study of metabolomics of blue crab urine inducing fear in prey

ValidatedFinal no updates expectedVersion 19 December 2017 (2017-12-19)Dataset Type:experimental

Principal Investigator: Marc Weissburg (Georgia Institute of Technology)

Co-Principal Investigator: Julia Kubanek (Georgia Institute of Technology)

Contact: David Gaul (Georgia Institute of Technology)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Project: The role of the sensory environment and predator chemical signal properties in determining NCE strength in cascading interactions on oyster reefs (SensoryNCE)

Cite Dataset

This dataset includes the following files, packaged in a .zip file:

  • "LCMS negative mode" = contains MS1 negative mode files.
  • "LCMS positive mode" = contains MS1 positive mode files.
  • LCMS File Summary.docx = document describing the files.
  • METADATA_CrabUrine.xlsx = metadata describing the study and the files.

MS data files are also publicly available on the NIH Metabolomics Workbench (doi: 10.21228/M86M4G).

The following PNAS paper contains the analyses of the processed data:
Poulin RX, Lavoie S, Siegel K, Gaul D, Weissburg M, Kubanek J (2018) Chemical encoding of risk perception and predator detection among estuarine invertebrates. Proceedings of the National Academy of Sciences. 115:662-667; doi:10.1073/pnas.1713901115

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Weissburg, M., Kubanek, J. (2017) Raw LCMS data files from study of metabolomics of blue crab urine inducing fear in prey. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 19 December 2017) Version Date 2017-12-19 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/720684 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation