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

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NIAID Data Ecosystem2026-03-14 收录
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https://zenodo.org/record/7522414
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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(km), Mean Annual Air Temperature (C), and pH-, as well as fractional abundance of isoprenoid and branched GDGTs for unpublished samples used for the training of the Branched and Isoprenoid GDGT Machine learning Classification (BIGMaC) algorithm (Martínes-Sosa, et al., in prep).
创建时间:
2023-01-11
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