Published January 10, 2023 | Version v1
Dataset Open

Environmental data and fractional abundance of iso and branched GDGT data used to train the BIGMaC algorithm

Authors/Creators

  • 1. University of Arizona
  • 2. University of Colorado
  • 3. University of Wyoming
  • 4. Utrecht University
  • 5. University of Alberta

Description

Location, environmental data -depth (m), elevation, distance to land (km), Mean Annual Air Temperature (C), and pH-, as well as fractional abundance of isoprenoid and branched GDGTs for unpublished samples used for the training of the Branched and Isoprenoid GDGT Machine learning Classification (BIGMaC) algorithm (Martínes-Sosa, et al., in prep).

Files

BIGMaC_GDGTs_Zenodo.csv

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