Published July 13, 2023 | Version v1
Dataset Open

Dataset of fungal communities observed on decomposing pig carcasses in New Jersey

Creators

  • 1. Kean University
  • 2. University of North Texas at Dallas

Description

This dataset contains estimated count data for fungal taxa identified using ITS metabarcoding collected from decomposing fetal pig carcasses placed in grasslands of New Jersey, USA.

FungiPigDecomp_Data.csv is a file that contains the estimated count data at the level of taxonomic resolution possible for each replicate, at each stage of decomposition, across three body districts.

FungiPigDecomp_Methods.docx is a summarized version of the sampling method relevant to interpreting the data.

FungiPigDecomp_Descriptive.txt is a file describing the column headers in "FungiPigDecomp_Data.csv".

Files

FungiPigDecomp_Data.csv

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Additional details

References

  • Clemmensen, K. E., Ihrmark, K., Durling, M. B., & Lindahl, B. D. (2016). Sample Preparation for Fungal Community Analysis by High-Throughput Sequencing of Barcode Amplicons. Methods in molecular biology (Clifton, N.J.), 1399, 61-88. https://doi.org/10.1007/978-1-4939-3369-3_4
  • Shumskaya, M., Lorusso, N., Patel, U., Leigh, M., Somervuo, P., & Schigel, D. (2023). MycoPins: a metabarcoding-based method to monitor fungal colonization of fine woody debris. Mycokeys(96), 77-95. https://doi.org/10.3897/mycokeys.96.101033
  • Palmer, J. M., Jusino, M. A., Banik, M. T., & Lindner, D. L. (2018). Non-biological synthetic spike-in controls and the AMPtk software pipeline improve mycobiome data. Peerj, 6, Article e4925. https://doi.org/10.7717/peerj.4925