Data

The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi

La Trobe University
Camille Truong (Aggregated by) Jennifer Wood (Aggregated by) John Morgan (Aggregated by) Luke Florence (Aggregated by) Marc Freestone (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26181/25706673.v2&rft.title=The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi&rft.identifier=10.26181/25706673.v2&rft.publisher=La Trobe University&rft.description=This repository contains processed topsoil ITS data from the Australian Microbiome Initiative, covering over 2000 plots in Australia and Antarctica. Our bioinformatic analysis followed a conservative approach and best practices in metabarcoding. We paired this dataset with over 100 predictor variables to fast-track data exploration. The code use to produce this dataset can be found at GitHub.&rft.creator=Camille Truong&rft.creator=Jennifer Wood&rft.creator=John Morgan&rft.creator=Luke Florence&rft.creator=Marc Freestone&rft.creator=Sean Tomlinson&rft.date=2024&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_rights=© The Authors 2024. This dataset is made open access under the Creative Commons Attribution (CC BY) license: https://creativecommons.org/licenses/by/4.0&rft_subject=Environmental sciences&rft_subject=Biological sciences&rft_subject=metabarcoding&rft_subject=fungi&rft_subject=ITS1&rft_subject=Australia&rft_subject=Australian Microbiome&rft_subject=soil&rft_subject=high-throughput sequencing&rft_subject=illumina&rft.type=dataset&rft.language=English Access the data
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© The Authors 2024. This dataset is made open access under the Creative Commons Attribution (CC BY) license: https://creativecommons.org/licenses/by/4.0

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This repository contains processed topsoil ITS data from the Australian Microbiome Initiative, covering over 2000 plots in Australia and Antarctica. Our bioinformatic analysis followed a conservative approach and best practices in metabarcoding. We paired this dataset with over 100 predictor variables to fast-track data exploration. The code use to produce this dataset can be found at GitHub.

Issued: 05 09 2024

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Australia | Australian Microbiome | Biological sciences | Environmental sciences | ITS1 | fungi | high-throughput sequencing | illumina | metabarcoding | soil |

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