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{"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"]}
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".
Decomposition, Necrobiome, Metabarcoding, Fungi
Decomposition, Necrobiome, Metabarcoding, Fungi
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